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CEVA Logistics Implements New U.S. Customs Brokerage System

CEVA Logistics, a supply-chain management company, has successfully completed the implementation of a new customs brokerage system across its U.S. operation.

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Supply Chain

Predicting the Future of the Logistics Industry

Article | May 22, 2023

Introduction From warehouse robots to delivery drones, the supply chain is experiencing a tremendous upheaval. AI promises a totally autonomous and self-organized future supply chain. A fleet of vehicles utilizing a swarm algorithm can enhance cargo yard throughput; a trusted peer-to-peer ledger on blockchain architecture could change compliance in the sector; and wearables, mobile robotics, and machine learning technologies could speed up order fulfilment. IOT e-brokerage solutions can link shops to couriers and transporters with a click. Tomorrow's supply chain will be leaner, quicker, and self-organized. A few innovative technologies will fuel this unparalleled rate of change over the next 15 years. Here are the major technologies that are shaping the future of the logistics industry. Logistics Technologies for the Future Shipment Tracking Systems Previously, customers ordered shipments, had an anticipated arrival date, and then were kept in the dark until they chose to call. Customers can now access shipping and tracking systems around-the-clock due to developments in the internet and software. This not only enhances the customer experience (cx), but it also saves the business time and money. Internet of Things (IoT) The IoT reduces costs and delays by minimizing hazards in the supply chain. Cabs, cargo ships, trains, etc., have sensors that link to an alarm system or dispatcher. These sensors analyze and communicate information to the crew, who learns about hidden threats. IoT isn't a new technology, but it continues to influence logistics by improving in-transit visibility and delivery. Radio Frequency Identification (RFID) RFID technology has been used for a few years to monitor inventories labor-efficiently. A product tag or sensor produces radio waves. The company processes the data. RFID tags are similar to barcodes, but their faster information transport and data processing appeal to companies and the direction of technology. Many organizations use RFID tags to track containers in warehouses. Enhanced GPS Accuracy Almost everyone utilizes GPS on their vehicles or smartphones. These devices' accuracy has improved over time, assisting lost drivers and enhancing the supply chain. By monitoring truck locations and boosting hauls with current traffic data, GPS increases efficiency and customer satisfaction. Closing Lines Unprecedented times have produced unprecedented transformations that will last for generations. Changing demographics, technology improvements, and COVID-19 impacts are altering global supply networks. We must understand the driving factors and act on what we learn to adapt and rise to the situation. For the sake of our current workforce and future generations.

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Supply Chain

Enhancing Supply Chain Optimization with Emerging Technologies

Article | May 26, 2023

Leveraging technology and resources within a network is key to supply chain optimization. While supply chains are inherently complex, this complexity can lead to significant technological benefits. Contents 1 Overview and Importance of Emerging Technologies in Optimizing Supply Chain 2 Advantages of Incorporating Emerging Technologies in Enhancing Optimization 2.1 Autonomous Delivery 2.2 Cognitive Automation 2.3 Blockchain-enabled Traceability 2.4 Predictive Maintenance 3 Key Challenges in Adopting Emerging Technologies 3.1 Cost and Budget Constraints 3.2 Skills Gap in Talent 3.3 Privacy and Data Security Concerns 4 Overcoming Challenges 4.1 Adopting Technologies for Managing Budget and Cost 4.2 Developing Talent Pipeline 4.3 Implementing a Zero Trust Security Model 5 Future Outlook Supply chain optimization involves maximizing the utilization of technology and resources within a supply network. Although supply chains are inherently complex, this complexity can yield significant technological advantages, particularly when leveraging the combination of blockchain, artificial intelligence (AI), and Internet of Things (IoT) technologies. 1 Overview and Importance of Emerging Technologies in Optimizing Supply Chain Emerging technologies have transformed the supply chain industry and revolutionized business operations. AI, IoT, blockchain, and robotics are getting prominence with the ability to streamline supply chain processes, reduce costs, increase efficiency, and ultimately boost customer satisfaction. Implementing these technologies can give businesses real-time supply chain visibility, reducing waste and enhancing inventory management. Understanding the potential benefits of these emerging digital supply chain technologies and how they can be implemented within the supply chain is essential for any business that intends to stay in a competitive and rapidly evolving market. 2 Advantages of Incorporating Emerging Technologies in Enhancing Optimization Blending operations with emerging supply chain technologies can significantly improve the speed and accuracy of information flow, minimize manual intervention, and reduce lead times. Additionally, these technologies can provide enhanced visibility into supply chain operations, enable effective risk management, and facilitate proactive decision-making. 2.1 Autonomous Delivery Incorporating autonomous delivery that comes with self-driving vehicles benefits businesses beyond faster delivery times, lowers costs and reduces human error. It offers increased safety, greater flexibility, and improved resource management. It benefits industries like e-commerce and logistics, where quick and efficient delivery is crucial. 2.2 Cognitive Automation Businesses face significant challenges due to unpredictable fluctuations in supply and demand, which can strain their existing technology. To mitigate these risks, executives have increased their investments in risk management. Cognitive automation offers three key benefits in supply chain management: identifying challenges and opportunities, gathering demand signals, and utilizing data for decision-making. Cognitive automation makes balancing supply and demands more efficient and effective, allowing businesses to act faster. 2.3 Blockchain-enabled Traceability Blockchain technology, a distributed ledger system, enables secure, transparent, and traceable record-keeping across a supply chain network. By providing a tamper-proof record of product movement and quality, blockchain technology can enable businesses to verify the authenticity and integrity of their products at each stage of the supply chain. In addition, blockchain technology allows businesses to quickly trace product origins and identify affected batches during recalls. 2.4 Predictive Maintenance Predictive maintenance is a technology that uses machine learning algorithms and Internet of Things sensors to predict impending equipment failures. By analyzing equipment performance data, predictive analytics enables businesses to reduce equipment downtime, lower maintenance costs, and increase reliability. With predictive maintenance, businesses can transition from reactive to proactive maintenance, preventing equipment failures and extending equipment lifecycles. 3 3 Key Challenges in Adopting Emerging Technologies 3.1 Cost and Budget Constraints The executives in the supply chain industry face a significant challenge when adopting emerging supply chain technologies due to the associated costs and budget constraints. While these smart supply chain technologies offer long-term benefits, the upfront investment can deter businesses. Businesses need to consider the total cost of ownership, including implementation, training, ongoing maintenance costs, and the potential return on investment. 3.2 Skills Gap in Talent Incorporating emerging technologies and trends in supply chain operations management is a complex and costly investment that demands a highly skilled workforce to implement and operate such supply chain technologies successfully. A significant skills gap while adopting technology in the supply chain industry poses a challenge for businesses in finding and training competent personnel with technical, analytical, and business skills required to handle emerging technologies. 3.3 Privacy and Data Security Concerns As supply chain operations adopt cutting-edge technologies, companies must address privacy and data security issues. The use of technology requires the collection and dissemination of sensitive data across multiple parties, which raises security and privacy concerns that can be exploited by cybercriminals or unauthorized personnel. Failure to adequately address these issues may result in reputational harm, legal and financial penalties, and a loss of customer confidence. 4 Overcoming the Challenges 4.1 Adopting Technologies for Managing Budget and Cost To overcome the challenge of budget and cost constraints in adopting technology in the supply chain, businesses can leverage innovative tools, such as cost management software and advanced analytics tools, which can provide real-time visibility into cost drivers and enable better decision-making to optimize resource utilization. With the top three technologies in supply chain such as AI, IoT and blockchain, businesses can reduce costs, boost supply chain performance, and maintain market competitiveness. AI predicts demand, maximizes inventory and improves transportation; RPA automates manual tasks, reduces labor costs, and cloud computing provides a flexible and scalable IT infrastructure with reduced upfront investments. 4.2 Developing Talent Pipeline Businesses must invest in building a talent pipeline to ensure a steady supply of skilled employees to narrow the skills gap in the supply chain industry. Collaboration with educational institutions, in-house training programs, and managed service providers from the technology industry can all be part of the answer. The organization's competitiveness and success can be increased by creating a talent pipeline to fill the skills gap between the current workforce and the needs of emerging technologies. Businesses can keep their workforce current and ready to adopt new technologies in supply chain by investing in a talent pipeline. 4.3 Implementing a Zero Trust Security Model As businesses adopt emerging technologies for supply chain operations, privacy, and data security, concerns have become a formidable obstacle. The implementation of a zero-trust security model can aid in addressing this difficulty. Before gaining access to any data or system, all users and devices in this model must be authenticated as potential threats, per this model. This strategy protects data and systems from unauthorized access and enables businesses to comply with regulations such as the GDPR and CCPA. In addition, it can provide supply chain visibility and control over data access in real-time, making it more effortless to detect and respond to security threats. 5 Future Outlook Supply chain leaders view emerging supply chain technology as a competitive advantage and as a means to address digital transformation. In addition, there is a focus on supply chain technologies that improve human decision-making and manage assets at the edge. Organizations should unify their technology portfolio and update legacy systems for greater efficiency. As supply chain complexity increases, we can expect even more advanced technology solutions leveraging big data, machine learning, and robotics to create agile, flexible, and sustainable supply chains.

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Warehousing and Distribution

Complexities in Integrating Supply Chain Analytics from Data to Action

Article | July 11, 2023

Data volume in supply chains is usually enormous. Analytics applied to the supply chain help make sense of the pile of information by identifying patterns and drawing conclusions. Contents 1 Importance of B2B Supply Chain Analytics 2 Obstacles in Supply Chain Analytics Integration 2.1 Barriers in Collecting and Processing Data 2.2 Insufficient Technical Skills 2.3 Issues in Managing and Integrating Data 2.4 Inadequate Analytics and Insights Generation 3 Addressing Supply Chain Analytics Complexities for Better Decision-Making 3.1 Leveraging External Expertise 3.2 Enhancing Collaboration and Communication 3.3 Improving Data Quality and Governance 3.4 Developing Analytics Capabilities 4 Power of Successful Supply Chain Analytics Integration in Transforming Businesses 5 Conclusion 1 Importance of B2B Supply Chain Analytics Supply chain analytics has become a pillar of contemporary business strategy, enabling organizations to leverage data insights and enhance vital supply chain processes. By utilizing real-time data analytics, businesses can streamline their supply chain operations, boost productivity, and increase customer satisfaction. With unparalleled visibility into key performance indicators, B2B supply chain analytics provide the opportunity to identify inefficiencies, reduce costs, and react swiftly to ever-changing market dynamics, streamlining the process for supply chain business analysts who manage supply data. Leveraging the power of supply chain analytics tools is important for the success of modern businesses in the age of data-driven decision making. With the ability to optimize inventory levels, manage lead times, and reduce transportation costs, supply chain data analytics provides a competitive advantage that can increase the efficiency, productivity, and profitability of businesses of all sizes and in all industries. 2 Obstacles in Supply Chain Analytics Integration Supply chain analytics integration has become increasingly critical for companies seeking to optimize their supply chain operations. However, several obstacles hindering successful implementation often complicate the integration process; hence, understanding and knowing them in advance is vital for smooth operations. 2.1 Barriers in Collecting and Processing Data Effective data collection and processing are critical in generating accurate insights to drive supply chain analytics decision-making. However, it comes with challenges; the most critical obstacle is data silos, where data is stored in isolated systems or departments, leading to difficulties in accessing and integrating it. It gets more complex when different departments or partners use varied data formats or standards. Additionally, cleaning and processing data is also challenging, as it involves identifying and eliminating duplicates, inconsistencies, and errors that can negatively impact analytics accuracy. 2.2 Insufficient Technical Skills Successful supply chain analytics integration depends heavily on technical skills and knowledge. Insufficient technical talent and expertise are significant barriers to successful integration. The integration process requires specialized technical expertise and the supply of skilled professionals with expertise in ETL, statistical analysis, knowledge of ML, IoT, SQL, and more in managing supply chain analytics Talent lacking technical skills cannot accurately interpret data, leading to ineffective decision-making. Preliminary data analysis, processing, and visualization due to a lack of technical expertise results in suboptimal decision-making, which can be costly for businesses. 2.3 Issues in Managing and Integrating Data Data integration combines data from various sources and formats to create a unified view. However, businesses face data governance, quality, and standardization issues, resulting in incomplete or inconsistent data. Lack of accurate information reduces the efficiency of supply chain analytics and impacts decision-making. Additionally, data management is complex, and business face difficulties creating effective data management processes, resulting in problems related to storing, retrieving, and updating data. 2.4 Inadequate Analytics and Insights Generation Obtaining valuable insights from enormous data collected during the supply chain process requires advanced analytics tools and technologies. Many businesses, however, continue to rely on traditional reporting methods, which limit the range and complexity of insights generated. The lack of expertise in data analysis and visualization can lead to poor interpretation and use of data, resulting in suboptimal decision-making. In addition, businesses experience difficulty identifying relevant data sources or may struggle to establish the necessary data governance frameworks to ensure data quality and accuracy. 3 Addressing Supply Chain Analytics Complexities for Better Decision-Making Supply chain analytics can provide valuable insights, but the complexities involved in analyzing and interpreting data can be a significant hurdle. Learning the strategies for addressing these complexities to improve decision-making in supply chain management has become essential. 3.1 Leveraging External Expertise Leveraging external expertise can be a powerful strategy for addressing supply chain analytics complexities related to collecting and processing supply chain data during integration. External experts bring specialized skills, experience, and knowledge that may not be available in-house, enabling organizations to overcome talent shortages and expand their capabilities. Furthermore, consultants, data scientists, or technology providers provide an objective viewpoint on the organization's data and processes, identifying areas for improvement and optimizing performance. By collaborating with external experts, organizations can access the latest tools, technologies, and best practices, ensuring that their supply chain analytics are up-to-date and relevant. 3.2 Enhancing Collaboration and Communication Enhancing collaboration and communication can effectively address the challenge of insufficient technical skills in thriving supply chain analytics integration. By promoting cooperation and cross-functional communication, organizations can leverage the skills and expertise of team members from various departments to fill gaps in technical knowledge. This approach can also help to break down data silos and improve data sharing and integration. In addition, collaboration and communication can facilitate knowledge transfer, enabling team members to learn from one another and develop a more comprehensive understanding of the supply chain analytics process. Ultimately, this can lead to improved decision-making, as a more skilled and knowledgeable team can generate more accurate and insightful analytics. 3.3 Improving Data Quality and Governance Businesses ensure accuracy, completion, and up-to-date data by establishing standardized processes and protocols for collecting, storing, and analyzing data. Data quality checks, including data cleansing and normalization, can help eliminate errors, redundancies, and inconsistencies that can negatively impact the accuracy and usefulness of analytics. In addition, effective data governance, including establishing data ownership, security, and privacy policies, helps ensure that data is managed and shared appropriately across the organization. As a result, it reduces the risk of data breaches, compliance violations, and other data-related issues, ensuring that organizations have access to reliable data for better decision-making. 3.4 Developing Analytics Capabilities Developing capabilities significantly help organizations overcome inadequate analytics and insights generation challenges in analytics integration. Investing in advanced analytics tools and platforms like technical skills, data infrastructure, and advanced supply chain analytics techniques help businesses generate real-time, accurate, and actionable insights from collected data. Developing analytics capabilities requires creating a culture that values data and analytics, establishing robust data governance frameworks, upskilling the workforce and creating cross-functional teams collaborating on data-related projects. In addition, it helps businesses gain a competitive advantage. 4 Power of Successful Supply Chain Analytics Integration in Transforming Businesses Effective supply chain analytics integration is revolutionizing business operations. Real-time and supply chain predictive analytics have helped businesses gain unmatched transparency in their supply chains, enhance critical processes, improve operational efficiency and customer satisfaction, and experience revenue growth and profitability. The ability to identify inefficiencies and supply chain optimization opportunities enables businesses to effectively allocate resources and reduce expenses. In addition, successful supply chain analytics integration enables businesses to respond quickly to changing market dynamics, optimize inventory management, and strengthen the resilience of their supply chains. Businesses are leveraging the power of big data analytics to disrupt and transform supply chain at all levels. The concept of data, which was once a fundamental component of digital supply chain transformation, is now revolutionary. Therefore, it is essential to achieve advancements in supply chain analytics integration and management. 5 Conclusion With technological and data analytics advancements, businesses can utilize real-time data insights to make data-driven decisions, optimize supply chain processes, and improve customer experiences. Integration of supply chain analytics is crucial for supply chain businesses of all sizes. Utilizing supply chain analytics software can further streamline integration as well as enhance data analytics and supply chain management.

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Software and Technology, Supply Chain

The Role of ERP in Supply Chain Management

Article | August 3, 2022

In the past couple of years, supply chain management has witnessed massive disruption. The implications of the pandemic have put pressure on manufacturers to revisit and reimagine how they manage their supply chains. This is why ERP software is so mission critical in supply chain management. It not only helps supply chain chiefs reduce overhead costs but also enhance efficiencies and timely deliveries.Here are a few ways ERP plays a role in supply chain management to keep it moving. Complete Visibility Having a 360-degree view of the supply chain is integral to making the right decisions regarding procurement and purchase of materials and inventory. It also allows suppliers to have complete control and course correct when necessary. The insight into the complete supply cycle allows suppliers to respond to customer queries better. Inventory Tracking ERPs are truly a one stop shop for manufacturers. They feature extensive inventory tracking on one system so manufacturers are in the loop about inventory control and can better optimize their inventory and resources. For manufacturers it is crucial to know where their inventory is, what has been shipped, what is on hand at all times. With ERPs, it becomes cheaper to keep a stock of the inventory and place orders when it’s running low. Vendor Performance Vendor performance is an essential aspect of supply chain management. Being able to compare vendors, measure certain quality and quantity metrics and identify bottle necks help suppliers choose the right vendor as well as gives purchasing departments the power to negotiate for better pricing by consolidating purchase. ERPs allow suppliers to do all the above and more. Procurement Procurement of goods can be a complex process if done without the right tools. It also impacts the whole supply chain so it is doubly imperative to ensure the procuring and supply of goods is on time. This is especially true in an environment of custom manufacturing. Add to that the requirement of procuring products with lengthy lead times, manufacturers need to take into considerations product that need to be ordered long before they are even designed. ERPs allow manufacturers to keep all departments including engineering and warehousing to work in sync and plan to procure goods on time. Real-time Reports Reporting is labor intensive and can be inefficient when it comes to gathering and processing data. With ERPs, manufacturers can generate reports in real-time and all manual data collection processes are replaced with automation, saving time and money in viewing the insights into the movement of products in the supply chain. It enables manufacturers to get a better understanding and make timely decisions that improve the overall efficiency of the supply chain. To Conclude ERP systems offer endless opportunities for manufacturers to improve their processes, save time and resources and optimize and enhance inventory planning. With the right tools, it is possible to establish supply chain management that outperforms and is resilient even in disruptive times.

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Supply Chain

Complexities in Integrating Supply Chain Analytics from Data to Action

Article | May 22, 2023

Introduction From warehouse robots to delivery drones, the supply chain is experiencing a tremendous upheaval. AI promises a totally autonomous and self-organized future supply chain. A fleet of vehicles utilizing a swarm algorithm can enhance cargo yard throughput; a trusted peer-to-peer ledger on blockchain architecture could change compliance in the sector; and wearables, mobile robotics, and machine learning technologies could speed up order fulfilment. IOT e-brokerage solutions can link shops to couriers and transporters with a click. Tomorrow's supply chain will be leaner, quicker, and self-organized. A few innovative technologies will fuel this unparalleled rate of change over the next 15 years. Here are the major technologies that are shaping the future of the logistics industry. Logistics Technologies for the Future Shipment Tracking Systems Previously, customers ordered shipments, had an anticipated arrival date, and then were kept in the dark until they chose to call. Customers can now access shipping and tracking systems around-the-clock due to developments in the internet and software. This not only enhances the customer experience (cx), but it also saves the business time and money. Internet of Things (IoT) The IoT reduces costs and delays by minimizing hazards in the supply chain. Cabs, cargo ships, trains, etc., have sensors that link to an alarm system or dispatcher. These sensors analyze and communicate information to the crew, who learns about hidden threats. IoT isn't a new technology, but it continues to influence logistics by improving in-transit visibility and delivery. Radio Frequency Identification (RFID) RFID technology has been used for a few years to monitor inventories labor-efficiently. A product tag or sensor produces radio waves. The company processes the data. RFID tags are similar to barcodes, but their faster information transport and data processing appeal to companies and the direction of technology. Many organizations use RFID tags to track containers in warehouses. Enhanced GPS Accuracy Almost everyone utilizes GPS on their vehicles or smartphones. These devices' accuracy has improved over time, assisting lost drivers and enhancing the supply chain. By monitoring truck locations and boosting hauls with current traffic data, GPS increases efficiency and customer satisfaction. Closing Lines Unprecedented times have produced unprecedented transformations that will last for generations. Changing demographics, technology improvements, and COVID-19 impacts are altering global supply networks. We must understand the driving factors and act on what we learn to adapt and rise to the situation. For the sake of our current workforce and future generations.

Read More
Supply Chain

Top 15 Supply Chain Events to Attend in 2023

Article | May 26, 2023

Leveraging technology and resources within a network is key to supply chain optimization. While supply chains are inherently complex, this complexity can lead to significant technological benefits. Contents 1 Overview and Importance of Emerging Technologies in Optimizing Supply Chain 2 Advantages of Incorporating Emerging Technologies in Enhancing Optimization 2.1 Autonomous Delivery 2.2 Cognitive Automation 2.3 Blockchain-enabled Traceability 2.4 Predictive Maintenance 3 Key Challenges in Adopting Emerging Technologies 3.1 Cost and Budget Constraints 3.2 Skills Gap in Talent 3.3 Privacy and Data Security Concerns 4 Overcoming Challenges 4.1 Adopting Technologies for Managing Budget and Cost 4.2 Developing Talent Pipeline 4.3 Implementing a Zero Trust Security Model 5 Future Outlook Supply chain optimization involves maximizing the utilization of technology and resources within a supply network. Although supply chains are inherently complex, this complexity can yield significant technological advantages, particularly when leveraging the combination of blockchain, artificial intelligence (AI), and Internet of Things (IoT) technologies. 1 Overview and Importance of Emerging Technologies in Optimizing Supply Chain Emerging technologies have transformed the supply chain industry and revolutionized business operations. AI, IoT, blockchain, and robotics are getting prominence with the ability to streamline supply chain processes, reduce costs, increase efficiency, and ultimately boost customer satisfaction. Implementing these technologies can give businesses real-time supply chain visibility, reducing waste and enhancing inventory management. Understanding the potential benefits of these emerging digital supply chain technologies and how they can be implemented within the supply chain is essential for any business that intends to stay in a competitive and rapidly evolving market. 2 Advantages of Incorporating Emerging Technologies in Enhancing Optimization Blending operations with emerging supply chain technologies can significantly improve the speed and accuracy of information flow, minimize manual intervention, and reduce lead times. Additionally, these technologies can provide enhanced visibility into supply chain operations, enable effective risk management, and facilitate proactive decision-making. 2.1 Autonomous Delivery Incorporating autonomous delivery that comes with self-driving vehicles benefits businesses beyond faster delivery times, lowers costs and reduces human error. It offers increased safety, greater flexibility, and improved resource management. It benefits industries like e-commerce and logistics, where quick and efficient delivery is crucial. 2.2 Cognitive Automation Businesses face significant challenges due to unpredictable fluctuations in supply and demand, which can strain their existing technology. To mitigate these risks, executives have increased their investments in risk management. Cognitive automation offers three key benefits in supply chain management: identifying challenges and opportunities, gathering demand signals, and utilizing data for decision-making. Cognitive automation makes balancing supply and demands more efficient and effective, allowing businesses to act faster. 2.3 Blockchain-enabled Traceability Blockchain technology, a distributed ledger system, enables secure, transparent, and traceable record-keeping across a supply chain network. By providing a tamper-proof record of product movement and quality, blockchain technology can enable businesses to verify the authenticity and integrity of their products at each stage of the supply chain. In addition, blockchain technology allows businesses to quickly trace product origins and identify affected batches during recalls. 2.4 Predictive Maintenance Predictive maintenance is a technology that uses machine learning algorithms and Internet of Things sensors to predict impending equipment failures. By analyzing equipment performance data, predictive analytics enables businesses to reduce equipment downtime, lower maintenance costs, and increase reliability. With predictive maintenance, businesses can transition from reactive to proactive maintenance, preventing equipment failures and extending equipment lifecycles. 3 3 Key Challenges in Adopting Emerging Technologies 3.1 Cost and Budget Constraints The executives in the supply chain industry face a significant challenge when adopting emerging supply chain technologies due to the associated costs and budget constraints. While these smart supply chain technologies offer long-term benefits, the upfront investment can deter businesses. Businesses need to consider the total cost of ownership, including implementation, training, ongoing maintenance costs, and the potential return on investment. 3.2 Skills Gap in Talent Incorporating emerging technologies and trends in supply chain operations management is a complex and costly investment that demands a highly skilled workforce to implement and operate such supply chain technologies successfully. A significant skills gap while adopting technology in the supply chain industry poses a challenge for businesses in finding and training competent personnel with technical, analytical, and business skills required to handle emerging technologies. 3.3 Privacy and Data Security Concerns As supply chain operations adopt cutting-edge technologies, companies must address privacy and data security issues. The use of technology requires the collection and dissemination of sensitive data across multiple parties, which raises security and privacy concerns that can be exploited by cybercriminals or unauthorized personnel. Failure to adequately address these issues may result in reputational harm, legal and financial penalties, and a loss of customer confidence. 4 Overcoming the Challenges 4.1 Adopting Technologies for Managing Budget and Cost To overcome the challenge of budget and cost constraints in adopting technology in the supply chain, businesses can leverage innovative tools, such as cost management software and advanced analytics tools, which can provide real-time visibility into cost drivers and enable better decision-making to optimize resource utilization. With the top three technologies in supply chain such as AI, IoT and blockchain, businesses can reduce costs, boost supply chain performance, and maintain market competitiveness. AI predicts demand, maximizes inventory and improves transportation; RPA automates manual tasks, reduces labor costs, and cloud computing provides a flexible and scalable IT infrastructure with reduced upfront investments. 4.2 Developing Talent Pipeline Businesses must invest in building a talent pipeline to ensure a steady supply of skilled employees to narrow the skills gap in the supply chain industry. Collaboration with educational institutions, in-house training programs, and managed service providers from the technology industry can all be part of the answer. The organization's competitiveness and success can be increased by creating a talent pipeline to fill the skills gap between the current workforce and the needs of emerging technologies. Businesses can keep their workforce current and ready to adopt new technologies in supply chain by investing in a talent pipeline. 4.3 Implementing a Zero Trust Security Model As businesses adopt emerging technologies for supply chain operations, privacy, and data security, concerns have become a formidable obstacle. The implementation of a zero-trust security model can aid in addressing this difficulty. Before gaining access to any data or system, all users and devices in this model must be authenticated as potential threats, per this model. This strategy protects data and systems from unauthorized access and enables businesses to comply with regulations such as the GDPR and CCPA. In addition, it can provide supply chain visibility and control over data access in real-time, making it more effortless to detect and respond to security threats. 5 Future Outlook Supply chain leaders view emerging supply chain technology as a competitive advantage and as a means to address digital transformation. In addition, there is a focus on supply chain technologies that improve human decision-making and manage assets at the edge. Organizations should unify their technology portfolio and update legacy systems for greater efficiency. As supply chain complexity increases, we can expect even more advanced technology solutions leveraging big data, machine learning, and robotics to create agile, flexible, and sustainable supply chains.

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Warehousing and Distribution

Top Certifications for Distribution & Warehousing Logistics Professionals

Article | July 11, 2023

Data volume in supply chains is usually enormous. Analytics applied to the supply chain help make sense of the pile of information by identifying patterns and drawing conclusions. Contents 1 Importance of B2B Supply Chain Analytics 2 Obstacles in Supply Chain Analytics Integration 2.1 Barriers in Collecting and Processing Data 2.2 Insufficient Technical Skills 2.3 Issues in Managing and Integrating Data 2.4 Inadequate Analytics and Insights Generation 3 Addressing Supply Chain Analytics Complexities for Better Decision-Making 3.1 Leveraging External Expertise 3.2 Enhancing Collaboration and Communication 3.3 Improving Data Quality and Governance 3.4 Developing Analytics Capabilities 4 Power of Successful Supply Chain Analytics Integration in Transforming Businesses 5 Conclusion 1 Importance of B2B Supply Chain Analytics Supply chain analytics has become a pillar of contemporary business strategy, enabling organizations to leverage data insights and enhance vital supply chain processes. By utilizing real-time data analytics, businesses can streamline their supply chain operations, boost productivity, and increase customer satisfaction. With unparalleled visibility into key performance indicators, B2B supply chain analytics provide the opportunity to identify inefficiencies, reduce costs, and react swiftly to ever-changing market dynamics, streamlining the process for supply chain business analysts who manage supply data. Leveraging the power of supply chain analytics tools is important for the success of modern businesses in the age of data-driven decision making. With the ability to optimize inventory levels, manage lead times, and reduce transportation costs, supply chain data analytics provides a competitive advantage that can increase the efficiency, productivity, and profitability of businesses of all sizes and in all industries. 2 Obstacles in Supply Chain Analytics Integration Supply chain analytics integration has become increasingly critical for companies seeking to optimize their supply chain operations. However, several obstacles hindering successful implementation often complicate the integration process; hence, understanding and knowing them in advance is vital for smooth operations. 2.1 Barriers in Collecting and Processing Data Effective data collection and processing are critical in generating accurate insights to drive supply chain analytics decision-making. However, it comes with challenges; the most critical obstacle is data silos, where data is stored in isolated systems or departments, leading to difficulties in accessing and integrating it. It gets more complex when different departments or partners use varied data formats or standards. Additionally, cleaning and processing data is also challenging, as it involves identifying and eliminating duplicates, inconsistencies, and errors that can negatively impact analytics accuracy. 2.2 Insufficient Technical Skills Successful supply chain analytics integration depends heavily on technical skills and knowledge. Insufficient technical talent and expertise are significant barriers to successful integration. The integration process requires specialized technical expertise and the supply of skilled professionals with expertise in ETL, statistical analysis, knowledge of ML, IoT, SQL, and more in managing supply chain analytics Talent lacking technical skills cannot accurately interpret data, leading to ineffective decision-making. Preliminary data analysis, processing, and visualization due to a lack of technical expertise results in suboptimal decision-making, which can be costly for businesses. 2.3 Issues in Managing and Integrating Data Data integration combines data from various sources and formats to create a unified view. However, businesses face data governance, quality, and standardization issues, resulting in incomplete or inconsistent data. Lack of accurate information reduces the efficiency of supply chain analytics and impacts decision-making. Additionally, data management is complex, and business face difficulties creating effective data management processes, resulting in problems related to storing, retrieving, and updating data. 2.4 Inadequate Analytics and Insights Generation Obtaining valuable insights from enormous data collected during the supply chain process requires advanced analytics tools and technologies. Many businesses, however, continue to rely on traditional reporting methods, which limit the range and complexity of insights generated. The lack of expertise in data analysis and visualization can lead to poor interpretation and use of data, resulting in suboptimal decision-making. In addition, businesses experience difficulty identifying relevant data sources or may struggle to establish the necessary data governance frameworks to ensure data quality and accuracy. 3 Addressing Supply Chain Analytics Complexities for Better Decision-Making Supply chain analytics can provide valuable insights, but the complexities involved in analyzing and interpreting data can be a significant hurdle. Learning the strategies for addressing these complexities to improve decision-making in supply chain management has become essential. 3.1 Leveraging External Expertise Leveraging external expertise can be a powerful strategy for addressing supply chain analytics complexities related to collecting and processing supply chain data during integration. External experts bring specialized skills, experience, and knowledge that may not be available in-house, enabling organizations to overcome talent shortages and expand their capabilities. Furthermore, consultants, data scientists, or technology providers provide an objective viewpoint on the organization's data and processes, identifying areas for improvement and optimizing performance. By collaborating with external experts, organizations can access the latest tools, technologies, and best practices, ensuring that their supply chain analytics are up-to-date and relevant. 3.2 Enhancing Collaboration and Communication Enhancing collaboration and communication can effectively address the challenge of insufficient technical skills in thriving supply chain analytics integration. By promoting cooperation and cross-functional communication, organizations can leverage the skills and expertise of team members from various departments to fill gaps in technical knowledge. This approach can also help to break down data silos and improve data sharing and integration. In addition, collaboration and communication can facilitate knowledge transfer, enabling team members to learn from one another and develop a more comprehensive understanding of the supply chain analytics process. Ultimately, this can lead to improved decision-making, as a more skilled and knowledgeable team can generate more accurate and insightful analytics. 3.3 Improving Data Quality and Governance Businesses ensure accuracy, completion, and up-to-date data by establishing standardized processes and protocols for collecting, storing, and analyzing data. Data quality checks, including data cleansing and normalization, can help eliminate errors, redundancies, and inconsistencies that can negatively impact the accuracy and usefulness of analytics. In addition, effective data governance, including establishing data ownership, security, and privacy policies, helps ensure that data is managed and shared appropriately across the organization. As a result, it reduces the risk of data breaches, compliance violations, and other data-related issues, ensuring that organizations have access to reliable data for better decision-making. 3.4 Developing Analytics Capabilities Developing capabilities significantly help organizations overcome inadequate analytics and insights generation challenges in analytics integration. Investing in advanced analytics tools and platforms like technical skills, data infrastructure, and advanced supply chain analytics techniques help businesses generate real-time, accurate, and actionable insights from collected data. Developing analytics capabilities requires creating a culture that values data and analytics, establishing robust data governance frameworks, upskilling the workforce and creating cross-functional teams collaborating on data-related projects. In addition, it helps businesses gain a competitive advantage. 4 Power of Successful Supply Chain Analytics Integration in Transforming Businesses Effective supply chain analytics integration is revolutionizing business operations. Real-time and supply chain predictive analytics have helped businesses gain unmatched transparency in their supply chains, enhance critical processes, improve operational efficiency and customer satisfaction, and experience revenue growth and profitability. The ability to identify inefficiencies and supply chain optimization opportunities enables businesses to effectively allocate resources and reduce expenses. In addition, successful supply chain analytics integration enables businesses to respond quickly to changing market dynamics, optimize inventory management, and strengthen the resilience of their supply chains. Businesses are leveraging the power of big data analytics to disrupt and transform supply chain at all levels. The concept of data, which was once a fundamental component of digital supply chain transformation, is now revolutionary. Therefore, it is essential to achieve advancements in supply chain analytics integration and management. 5 Conclusion With technological and data analytics advancements, businesses can utilize real-time data insights to make data-driven decisions, optimize supply chain processes, and improve customer experiences. Integration of supply chain analytics is crucial for supply chain businesses of all sizes. Utilizing supply chain analytics software can further streamline integration as well as enhance data analytics and supply chain management.

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Software and Technology, Supply Chain

The Role of ERP in Supply Chain Management

Article | August 3, 2022

In the past couple of years, supply chain management has witnessed massive disruption. The implications of the pandemic have put pressure on manufacturers to revisit and reimagine how they manage their supply chains. This is why ERP software is so mission critical in supply chain management. It not only helps supply chain chiefs reduce overhead costs but also enhance efficiencies and timely deliveries.Here are a few ways ERP plays a role in supply chain management to keep it moving. Complete Visibility Having a 360-degree view of the supply chain is integral to making the right decisions regarding procurement and purchase of materials and inventory. It also allows suppliers to have complete control and course correct when necessary. The insight into the complete supply cycle allows suppliers to respond to customer queries better. Inventory Tracking ERPs are truly a one stop shop for manufacturers. They feature extensive inventory tracking on one system so manufacturers are in the loop about inventory control and can better optimize their inventory and resources. For manufacturers it is crucial to know where their inventory is, what has been shipped, what is on hand at all times. With ERPs, it becomes cheaper to keep a stock of the inventory and place orders when it’s running low. Vendor Performance Vendor performance is an essential aspect of supply chain management. Being able to compare vendors, measure certain quality and quantity metrics and identify bottle necks help suppliers choose the right vendor as well as gives purchasing departments the power to negotiate for better pricing by consolidating purchase. ERPs allow suppliers to do all the above and more. Procurement Procurement of goods can be a complex process if done without the right tools. It also impacts the whole supply chain so it is doubly imperative to ensure the procuring and supply of goods is on time. This is especially true in an environment of custom manufacturing. Add to that the requirement of procuring products with lengthy lead times, manufacturers need to take into considerations product that need to be ordered long before they are even designed. ERPs allow manufacturers to keep all departments including engineering and warehousing to work in sync and plan to procure goods on time. Real-time Reports Reporting is labor intensive and can be inefficient when it comes to gathering and processing data. With ERPs, manufacturers can generate reports in real-time and all manual data collection processes are replaced with automation, saving time and money in viewing the insights into the movement of products in the supply chain. It enables manufacturers to get a better understanding and make timely decisions that improve the overall efficiency of the supply chain. To Conclude ERP systems offer endless opportunities for manufacturers to improve their processes, save time and resources and optimize and enhance inventory planning. With the right tools, it is possible to establish supply chain management that outperforms and is resilient even in disruptive times.

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Delta Cargo launches e-commerce solution DeliverDirect in collaboration with SmartKargo

PR Newswire | January 31, 2024

Delta Cargo is excited to announce the launch of its newest product, DeliverDirect, developed in collaboration with SmartKargo. DeliverDirect is a door-to-door delivery service for the U.S. market, offering a competitive and customizable solution for e-commerce retailers seeking to optimize their direct-to-consumer shipping solutions. With DeliverDirect, Delta Cargo pioneers an innovative domestic carrier approach, providing swift service with transparent pricing for e-commerce and small parcel delivery. From initial warehouse pickup to delivery at the end consumer's doorstep, DeliverDirect is a fast, seamless, end-to-end service that upgrades traditional ground or air shipping services utilized by most current e-tailers. Small package shippers will benefit from increased shipping speeds, an uncomplicated pricing structure, proactive alert management, transparent tracking and reporting, and access to Delta's vast domestic network. "We are thrilled to introduce DeliverDirect, our new offer for the small parcel delivery market," shared Alison Ricker, Managing Director, Delta Cargo Global Sales. "Through our strategic collaboration with SmartKargo, DeliverDirect gives e-tailers an alternative transportation solution that fits their customers' requirements, and we envision that this service will prove to be a fast, reliable and cost-effective solution." The DeliverDirect offering can be tailored to shippers' needs with a variety of service innovations that empower customers to customize according to their unique preferences. These service innovations include: personalized pick-up times, geo-fenced notifications for consumers, multiple delivery attempts, signature-required deliveries, proof of delivery with photos, and access to advanced reporting features for a complete comprehensive service that aligns seamlessly with a variety of needs. "E-commerce shippers are looking for simple, faster and more reliable alternatives to deliver their products to consumers. Delta Cargo has a vision for small package delivery that will transform the U.S. market and continue to diversify their already robust offering in the air cargo market. Their innovative approach makes them a fantastic partner for SmartKargo, and we look forward to growing this service together," stated Milind Tavshikar, CEO and Founder of SmartKargo.

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Software and Technology, Sustainability, Supply Chain

GoBolt & Instock Team Up To Power Warehouse Efficiency & Drive Toward Self-Service Automation

PR Newswire | January 09, 2024

GoBolt, a technology company building the world's largest sustainable supply chain network, today announces it has partnered with Instock on a technology-driven warehouse initiative. GoBolt is already at the forefront of innovation in the logistics industry with its sustainable fleet and proprietary technology and now, by working with Instock, the company continues to blaze a trail in terms of advancing and simplifying logistics. Instock and GoBolt, united by their shared commitment to technology-driven efficiency and innovation, are partnering to integrate Instock's Automated Storage and Retrieval Solution (ASRS) into GoBolt's fulfillment centers. This collaboration, launching in January 2024, will enhance logistics operations by automating routine tasks, allowing warehouse associates to focus on more complex responsibilities. "GoBolt is committed to driving innovation in the traditional logistics sector through the development and adoption of groundbreaking technology. That's why our team is thrilled to partner with Instock on this exciting automation project," said Mark Ang, Co-founder and Chief Executive Officer of GoBolt. "In addition to advancing automation and improving efficiency for our brand partners, Instock allows our employees to dedicate their efforts to increasingly complex tasks. This is not only a win for warehouse productivity and safety, but also for employee satisfaction." Founded in 2020, Instock is a team grounded in deep experience in both engineering and operating technology for retailers in the U.S. and abroad. Their desire for more flexible and agile automation led them to embark on a mission to radically improve goods-to-person robotics with a simplified, soup to nuts rebuild. The result is their Robotics-as-a-Service (RaaS) offering, which delivers high-density goods-to-person automation with a flexible range of throughput rates. "We're inspired by what GoBolt is achieving for brands and retailers," said Yegor Anchyshkin, Instock's Co-founder and Chief Executive Officer. "Just as impressively, the company is eager to explore and embrace new technologies, like automation, instead of waiting in the wings. When it comes to partnerships, ours with GoBolt is as natural and synergistic as it gets." Through this partnership, the two dynamic companies will redefine storage density and volume throughput boundaries within defined footprints, and lay the groundwork toward self-service in warehouse automation.

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Logistics, Supply Chain, Warehousing and Distribution

Harnessing the Transformative Power of Cold Chain Logistics with SSI Schaefer

SSI Schaefer | January 03, 2024

As average global temperatures rise and the demand for cold-chain storage grows worldwide, SSI Schaefer, a global leader in intralogistics and automated warehouses, is sharing best practices and key considerations on how logistics and operations managers can optimize efficiency and cost-effectiveness of cold storage warehouses. Cold storage warehouse managers -- particularly in the food and beverage industries, but also pharmaceutical distribution -- are facing the need to efficiently and effectively store, pick, retrieve, pack, and ship perishable and sensitive goods, which require special handling, monitoring, and carefully tuned environmental conditions. Yet they face additional challenges -- the cold-chain storage market is expanding, with some reports projecting a CAGR of 9% from 2023 to 2028, meaning that warehouse managers must balance surging demand for cold-stored goods with the increasing need to reduce energy costs and carbon emissions. "What we are seeing for refrigerated supply chains is this pinch -- a need to do ever more with ever less," notes Carsten Spiegelberg, Managing Director - Middle East & Africa, SSI Schaefer. "To meet the growing complexities of the industry, it's not enough to find a quick fix. Companies need material flow experts with industry know-how to consider all angles of a facility and seamlessly blend cold-chain logistics solutions with individual processes." Cold chain storage solutions Careful planning is always the first step in optimizing temperature-controlled infrastructure. To increase efficiency and cost-effectiveness of cold storage warehouses, there are several factors to consider from the beginning. Optimizing air circulation and product storage density Since different products and comestibles require different storage temperatures, cold storage warehouse temperatures can range from -34°C to 0°C, with some even reaching 21°C. However, there is often a trade-off between storage density and air flow. Selecting the right storage system that enhances the cooled air circulation while increasing the storage density in the given facility footprint is critical in the planning phase. Semi-automated solutions for cold storage space optimization Ideal for deep-freeze facilities for bulk storage in the manufacturing sector and delivering maximum space utilization, channel storage setups with semi-automated drive-in racking systems are an accessible step towards automation, offering high throughput, enhanced safety, and reduced time for workers in refrigerated facilities. Capable of following either the Last in-First Out (LIFO) or the First in-Last Out (FIFO) principle, these systems use channel vehicles like SSI Orbiter® and a corresponding docking station to store and retrieve pallets. Compared to a static, manual pallet rack system, a mobile racking storage system is an effective way to boost storage capacity in a given space -- by up to 85%, while maintaining full selectivity typically required in distribution centers. This system involves racks that move along floor rails via electric motors to create an aisle only where needed, and it offers smart lighting that only activates in occupied aisles for reducing energy consumption, as well as a night parking option that optimizes rack spacing for maximal cold air circulation. Future-ready automation systems for a seamless, cost-optimized cold chain Due to the need for cold goods to maintain strict timetables and a closed cold chain, storage systems must handle incoming goods efficiently and cope with expected and unexpected upticks in demand. The best way to systematically manage the complexities of cold-chain material flows is with a fully automated storage system that seamlessly interconnects components, such as: Pallets Automated storage & retrieval systems (ASRSs): The SSI Exyz is an automated high-density storage system with extremely high space utilization, particularly in high-bay warehouses, and it saves 25% of energy compared to conventional machines while functioning across different temperatures. Shuttle solutions: As a future-proof, fully automated channel storage option, the SSI Lift & Run Shuttle System (SLR) provides simultaneous access to multiple racks for top-tier performance and high storage density. Other storage types Shuttle solutions for layer trays: For high-volume picking of goods such as comestibles for shop deliveries, tray shuttles and conveying systems enable fully automated robotic picking or support efficient semi-automatic goods-to-person picking. Storage solutions for container, bin and carton loads: For loads of varying dimensions, scalable solutions using SSI Miniload, Flexi Shuttle or Cuby maximize storage density while accommodating specific load and performance requirements to support automatic or semi-automatic case and piece picking. Platforms for central control of refrigerated facilities Although there are various warehouse automation technologies that track material flows, issues such as coordinating multiple systems often arise and there is a clear need for centralized monitoring and control -- particularly with the complexities of refrigerated facilities. To tie all aspects of a cold storage warehouse together, end-to-end software such as WAMAS® or SAP EWM (Extended Warehouse Management) offer clear visualizations and comprehensive tools to manage processes, resources, and stock levels.

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Logistics, Supply Chain

Delta Cargo launches e-commerce solution DeliverDirect in collaboration with SmartKargo

PR Newswire | January 31, 2024

Delta Cargo is excited to announce the launch of its newest product, DeliverDirect, developed in collaboration with SmartKargo. DeliverDirect is a door-to-door delivery service for the U.S. market, offering a competitive and customizable solution for e-commerce retailers seeking to optimize their direct-to-consumer shipping solutions. With DeliverDirect, Delta Cargo pioneers an innovative domestic carrier approach, providing swift service with transparent pricing for e-commerce and small parcel delivery. From initial warehouse pickup to delivery at the end consumer's doorstep, DeliverDirect is a fast, seamless, end-to-end service that upgrades traditional ground or air shipping services utilized by most current e-tailers. Small package shippers will benefit from increased shipping speeds, an uncomplicated pricing structure, proactive alert management, transparent tracking and reporting, and access to Delta's vast domestic network. "We are thrilled to introduce DeliverDirect, our new offer for the small parcel delivery market," shared Alison Ricker, Managing Director, Delta Cargo Global Sales. "Through our strategic collaboration with SmartKargo, DeliverDirect gives e-tailers an alternative transportation solution that fits their customers' requirements, and we envision that this service will prove to be a fast, reliable and cost-effective solution." The DeliverDirect offering can be tailored to shippers' needs with a variety of service innovations that empower customers to customize according to their unique preferences. These service innovations include: personalized pick-up times, geo-fenced notifications for consumers, multiple delivery attempts, signature-required deliveries, proof of delivery with photos, and access to advanced reporting features for a complete comprehensive service that aligns seamlessly with a variety of needs. "E-commerce shippers are looking for simple, faster and more reliable alternatives to deliver their products to consumers. Delta Cargo has a vision for small package delivery that will transform the U.S. market and continue to diversify their already robust offering in the air cargo market. Their innovative approach makes them a fantastic partner for SmartKargo, and we look forward to growing this service together," stated Milind Tavshikar, CEO and Founder of SmartKargo.

Read More

Software and Technology, Sustainability, Supply Chain

GoBolt & Instock Team Up To Power Warehouse Efficiency & Drive Toward Self-Service Automation

PR Newswire | January 09, 2024

GoBolt, a technology company building the world's largest sustainable supply chain network, today announces it has partnered with Instock on a technology-driven warehouse initiative. GoBolt is already at the forefront of innovation in the logistics industry with its sustainable fleet and proprietary technology and now, by working with Instock, the company continues to blaze a trail in terms of advancing and simplifying logistics. Instock and GoBolt, united by their shared commitment to technology-driven efficiency and innovation, are partnering to integrate Instock's Automated Storage and Retrieval Solution (ASRS) into GoBolt's fulfillment centers. This collaboration, launching in January 2024, will enhance logistics operations by automating routine tasks, allowing warehouse associates to focus on more complex responsibilities. "GoBolt is committed to driving innovation in the traditional logistics sector through the development and adoption of groundbreaking technology. That's why our team is thrilled to partner with Instock on this exciting automation project," said Mark Ang, Co-founder and Chief Executive Officer of GoBolt. "In addition to advancing automation and improving efficiency for our brand partners, Instock allows our employees to dedicate their efforts to increasingly complex tasks. This is not only a win for warehouse productivity and safety, but also for employee satisfaction." Founded in 2020, Instock is a team grounded in deep experience in both engineering and operating technology for retailers in the U.S. and abroad. Their desire for more flexible and agile automation led them to embark on a mission to radically improve goods-to-person robotics with a simplified, soup to nuts rebuild. The result is their Robotics-as-a-Service (RaaS) offering, which delivers high-density goods-to-person automation with a flexible range of throughput rates. "We're inspired by what GoBolt is achieving for brands and retailers," said Yegor Anchyshkin, Instock's Co-founder and Chief Executive Officer. "Just as impressively, the company is eager to explore and embrace new technologies, like automation, instead of waiting in the wings. When it comes to partnerships, ours with GoBolt is as natural and synergistic as it gets." Through this partnership, the two dynamic companies will redefine storage density and volume throughput boundaries within defined footprints, and lay the groundwork toward self-service in warehouse automation.

Read More

Logistics, Supply Chain, Warehousing and Distribution

Harnessing the Transformative Power of Cold Chain Logistics with SSI Schaefer

SSI Schaefer | January 03, 2024

As average global temperatures rise and the demand for cold-chain storage grows worldwide, SSI Schaefer, a global leader in intralogistics and automated warehouses, is sharing best practices and key considerations on how logistics and operations managers can optimize efficiency and cost-effectiveness of cold storage warehouses. Cold storage warehouse managers -- particularly in the food and beverage industries, but also pharmaceutical distribution -- are facing the need to efficiently and effectively store, pick, retrieve, pack, and ship perishable and sensitive goods, which require special handling, monitoring, and carefully tuned environmental conditions. Yet they face additional challenges -- the cold-chain storage market is expanding, with some reports projecting a CAGR of 9% from 2023 to 2028, meaning that warehouse managers must balance surging demand for cold-stored goods with the increasing need to reduce energy costs and carbon emissions. "What we are seeing for refrigerated supply chains is this pinch -- a need to do ever more with ever less," notes Carsten Spiegelberg, Managing Director - Middle East & Africa, SSI Schaefer. "To meet the growing complexities of the industry, it's not enough to find a quick fix. Companies need material flow experts with industry know-how to consider all angles of a facility and seamlessly blend cold-chain logistics solutions with individual processes." Cold chain storage solutions Careful planning is always the first step in optimizing temperature-controlled infrastructure. To increase efficiency and cost-effectiveness of cold storage warehouses, there are several factors to consider from the beginning. Optimizing air circulation and product storage density Since different products and comestibles require different storage temperatures, cold storage warehouse temperatures can range from -34°C to 0°C, with some even reaching 21°C. However, there is often a trade-off between storage density and air flow. Selecting the right storage system that enhances the cooled air circulation while increasing the storage density in the given facility footprint is critical in the planning phase. Semi-automated solutions for cold storage space optimization Ideal for deep-freeze facilities for bulk storage in the manufacturing sector and delivering maximum space utilization, channel storage setups with semi-automated drive-in racking systems are an accessible step towards automation, offering high throughput, enhanced safety, and reduced time for workers in refrigerated facilities. Capable of following either the Last in-First Out (LIFO) or the First in-Last Out (FIFO) principle, these systems use channel vehicles like SSI Orbiter® and a corresponding docking station to store and retrieve pallets. Compared to a static, manual pallet rack system, a mobile racking storage system is an effective way to boost storage capacity in a given space -- by up to 85%, while maintaining full selectivity typically required in distribution centers. This system involves racks that move along floor rails via electric motors to create an aisle only where needed, and it offers smart lighting that only activates in occupied aisles for reducing energy consumption, as well as a night parking option that optimizes rack spacing for maximal cold air circulation. Future-ready automation systems for a seamless, cost-optimized cold chain Due to the need for cold goods to maintain strict timetables and a closed cold chain, storage systems must handle incoming goods efficiently and cope with expected and unexpected upticks in demand. The best way to systematically manage the complexities of cold-chain material flows is with a fully automated storage system that seamlessly interconnects components, such as: Pallets Automated storage & retrieval systems (ASRSs): The SSI Exyz is an automated high-density storage system with extremely high space utilization, particularly in high-bay warehouses, and it saves 25% of energy compared to conventional machines while functioning across different temperatures. Shuttle solutions: As a future-proof, fully automated channel storage option, the SSI Lift & Run Shuttle System (SLR) provides simultaneous access to multiple racks for top-tier performance and high storage density. Other storage types Shuttle solutions for layer trays: For high-volume picking of goods such as comestibles for shop deliveries, tray shuttles and conveying systems enable fully automated robotic picking or support efficient semi-automatic goods-to-person picking. Storage solutions for container, bin and carton loads: For loads of varying dimensions, scalable solutions using SSI Miniload, Flexi Shuttle or Cuby maximize storage density while accommodating specific load and performance requirements to support automatic or semi-automatic case and piece picking. Platforms for central control of refrigerated facilities Although there are various warehouse automation technologies that track material flows, issues such as coordinating multiple systems often arise and there is a clear need for centralized monitoring and control -- particularly with the complexities of refrigerated facilities. To tie all aspects of a cold storage warehouse together, end-to-end software such as WAMAS® or SAP EWM (Extended Warehouse Management) offer clear visualizations and comprehensive tools to manage processes, resources, and stock levels.

Read More

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