Software and Technology, Supply Chain
Article | August 3, 2022
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.
Read More
Supply Chain
Article | May 22, 2023
The complexity of today’s supply chain has resulted in a highly fragmented supply chain ecosystem. Whether it is a global pandemic or an ongoing war, streamlining the moving parts in the supply chain management system is an immense feat in the current climate. The resulting shortage of materials, disruption of transportation, and delays have complicated the supply chain even further. Add to it the expectation to minimize expenses, optimize inventory, and enable quality and customer expectations, and stakeholders at every level of the supply chain are inundated with challenges.
This is where using advanced analytics in supply chain can be a game changer for many manufacturers. It can help them gain a deeper insight into their operations and how the supply chain is moving.
How Supply Chain Analytics Enriches Supply Chain Management
A 360-degree view of the supply chain is crucial for supply chain leaders. A lack of insight can cause costly delays and avoidable disruptions. Obtaining complete visibility in supply chain management, on the other hand, can be difficult. The immense volume of data that many organizations have to deal with makes it difficult to gain proper insight.
Supply chain analytics tools help in gaining a better sense of the aggregated data from different parts of the supply chain, such as procurement, ERP in supply chain management, warehousing management, shipping and logistics management, and many more. The more accurate the data is, the simpler it is to use advanced supply chain management analytics to forecast, predict, and plan better in order to maximize the supply chain’s capabilities.
Optimizing the Supply Chain: 3 Ways to Do so with Analytics
With the range of analytics applications in supply chain in use today, manufacturers have the opportunity to completely transform how to view, manage and strategize. Here are five data analytics supply chain tools to consider in the pursuit of optimization.
Demand Forecasting
Inventory management is at the heart of supply chain optimization. Not calibrating the inventory stock based on demand and supply for bestselling products and those that don’t move fast can cause either an overstocking or understocking problem. Either way, forecasting the right balance is difficult to achieve, but data analytics can make it simpler. The lack of the right products in stock can heavily impact the bottom line. According to a survey by Logility, 36% of supply chain experts consider inventory optimization the primary reason for adopting analytics. An integrated mapping of retail sales, inventory levels, and the flow of goods will lead to accurate demand forecasting.
This data can empower organizations to:
Strategize sales promotions
Define product pricing
Maximize budgets
Predict accurate inventory levels
Inventory management has a cascading effect on the supply chain, and advanced demand forecasting has helped many organizations achieve an optimum level of inventory for the right products.
Predictive Warehousing Maintenance
Machine Learning (ML), artificial intelligence (AI), and the Internet of Things (IoT) have been emerging technologies on the supply chain management landscape. By using a mix of these technologies, it is possible for manufacturers to deploy predictive maintenance in warehousing. Predictive maintenance is the process of assessing data generated from the past and in real-time to determine patterns and identify equipment failure and maintenance schedule before a breakdown occurs.
This helps manufacturers to:
Avoid heavy repair costs
Plan spare part supply
Slash downtime from equipment failure
Eliminate production delays
In addition to reducing production bottlenecks, predictive maintenance gives businesses the ability to manage their equipment and optimize their shelf-life.
Warehousing Efficiency
At the warehouse phase of the supply chain, analytics can help manage the supply chain in more than just one way. The warehouse workflow is just as crucial, as it facilitates a clear view of the condition of goods as well as the optimization of the warehouse space. In addition to warehouse space maximization, quality control is another challenge that warehousing management addresses.
Supply chain analytics can enhance warehousing efficiency by:
Ensuring the correct storage of goods based on their weight, fragility, and perishability
Aligning with resource management like equipment, vehicles
Identifying disruptions to storage before they occur
One of the advantages of supply chain analytics is getting a deep insight into the warehouse’s operation so manufacturers can identify gaps and take steps to make it more efficient.
Transportation Tracking
Real-time analytics of transportation and logistics is a crucial piece in the puzzle of supply chain management. For example, the data generated in relation to fuel consumption, weather conditions, and even traffic patterns can help organizations boost their logistics and carrier management.
It can help them to:
Schedule deliveries
Determine better routes
Evaluate current routes
Strategize their shipping schedule
To Wrap it Up
To put it simply, a deep insight into the supply chain, inventory management, and warehouse operations is a great way to ensure the supply chain is on track. Effective supply chain management software is an asset for an organization when it is able to leverage the insights and make well-informed strategies to further optimize the supply chain.
Read More
Supply Chain
Article | March 23, 2023
Supply chain is the backbone of any business. Since there is a supply chain in existence, you can buy whatever product you want. The supply chain is evolving since the Industrial Revolution, and it is still changing, and the evolution journey is fascinating. Before moving forward with the article, first, let's understand supply chain and supply chain management.
What is a Supply Chain?
A supply chain is an entire process of producing and selling commercial goods, beginning with the procurement of raw materials and ending with the distribution and sale of the goods. The supply chain ensures that a product is available in the right place, at the right time, and the lowest possible cost while ensuring the product quality. The supply chain aims to provide the maximum value to the customer at the minimum likely costs. The supply chain is the single most significant expense for businesses, and it provides them with a tremendous opportunity to improve and increase savings and profit margins. The price of most products is competitive in the market, but the supply chain determines the product's profit margin. The demand for products and services fluctuates for various reasons, and meeting this fluctuating demand with a higher degree of quality requires knowledge of supply chain management. Effective supply chain management is essential for any business to compete in the market.
What is Supply Chain Management?
Supply chain management is an essential factor in a business's long-term success. The management of how goods and services evolve from raw materials to products sold to consumers is known as supply chain management. It includes the processes of transporting and storing raw materials, storing finished goods until they sell, and tracking where sold goods go so that you can use the data to boost future sales. Supply Chain Management includes all aspects of business activities, including logistics, purchasing, and information technology. Materials, finances, suppliers, manufacturing plants, wholesalers, retailers, and consumers are all combined into a single system. A business with a well-managed supply chain can significantly reduce all operating costs associated with that chain, resulting in higher profits. The main goal of effective supply chain management is to increase profitability by improving customer satisfaction and reducing business costs. Profits improve as expenses are in control and reduced when possible. When the costs of purchasing raw materials and manufacturing goods drop, the operating costs also decrease.
Challenges in Supply Chain Management
There are many challenges related to supply chain management. In this section, we will focus on some of the most significant supply chain management challenges.
• Visibility: It is a significant issue in supply chain management. Businesses are unable to track all international cargo. The majority of data on the ocean or air shipments is often unavailable. Between 2008 and 2016, an average of 600 containers lost at sea (it does not include catastrophic incidents). These figures are concerning because the amount of cargo shipped over time is rapidly rising.
• Uncertainty: Uncertainty has been difficult in supply chain management. Demand planning is essential because many businesses have massive amounts of leftovers. If it is perishable, it is thrown away. There is a lot of waste, and it's all because of bad planning. In addition, initial raw materials may be unreliable, or lead time may be unpredictable. It isn't easy to be confident of any part of the supply chain, mainly because it is an extensive system.
• Customer Service: Supply chain management is all about getting the right product to the correct location at the right time. It seems easy at first, but it can quickly become complicated.
• Cost Management: Increasing energy/fuel and freight costs, a more significant number of global customers, technology, rising labor wages, new regulations, and rising commodity prices all strain operating costs.
• Planning and Risk Management: Annual reviews and redesigns are needed to be efficient and effective. These changes are in reaction to market changes, such as new product releases, global sourcing, credit availability, and the need to protect intellectual property. To monitor and minimize these threats, they must be identified and quantified.
• Supplier/Partner Relationship Management: It is crucial to create, understand, and follow mutually agreed standards to understand current performance and areas for improvement better. Using two separate approaches to measure and communicate performance results is a waste of time and resources. Trusting the system that was in place to ensure consistency and better supplier/partner relationships is necessary.
Emerging Trends in Supply Chain
The supply chain process is continuously evolving. The emerging supply chain and logistics trends prioritize intelligent, tech-driven management to minimize operational costs and enhance efficiency. The logistics and supply chain aspect is vital for any business in supplying high-quality raw materials, ensuring an efficient manufacturing process, and tracking, shipping, and storing finished goods.
Companies that implement well-designed supply chain practices can satisfy customer needs more quickly and efficiently. This improves customer relationships and loyalty, resulting in increased revenue and the acquisition of new customers through positive word of mouth.
Let's look at some significant emerging trends that are expected to shape and develop supply chain operations in the future.
Digitization of Supply Chains
Digitization is the process of reinventing logistics operations by combining the latest technology with other physical and digital assets. Digitization allows us to better adapt to the fast-paced, highly competitive, omnichannel business environment.
Digitization increases the speed, dynamics, and resiliency of supply chain operations, resulting in improved customer responsiveness and, ultimately, increased revenue. Companies that embrace digitalization can gain genuine value, improved revenue, and market valuation.
Companies should significantly redesign their supply chain strategy to gain the full benefits of digitization. It is not enough to decorate it with digital technology.
The Internet of Things (IoT) occupies a significant position in digitalization as a highly transformational technology solution in the logistics sphere. The Internet of Things (IoT) is a network of interconnected computing devices that allows data to be sent over networks without human input. It assists businesses in monitoring inventory, managing warehouse stock, optimizing fleet routes, and reducing dead miles.
Artificial Intelligence
Advanced Artificial Intelligence solutions have several uses in the supply chain, particularly in the warehousing area. The procurement process involves using gesture recognition solutions instead of keyboard and mouse. It also includes self-driving vehicles, which are designed to navigate without human assistance.
In the supply chain, the concept of robotics and automation is widely implemented. The new generation of robots is easier to program, more flexible, and more affordable. Their job is to help employees with repetitive and physically challenging tasks.
Enhanced Supply Chain Visibility
Proper supply chain data analysis can significantly boost business forecasting and decision-making. It can also optimize the use of inventory management, storage, and transportation resources.
Supply chain visibility provides information on what is happening at each stage of the supply chain. It is crucial for the overall efficiency of the supply chain process, which includes sourcing, manufacturing, transportation, and delivery.
Real-time inventory management is one of the advantages of enhanced chain visibility. It uses mobile point-of-sale systems and sensors, and it elevates inventory management to a whole new level.
For example, instead of paying for purchased goods at a store, customers can take the desired products and have the products immediately charged to their credit and debit cards. Furthermore, real-time inventory management allows for the replacement of goods as they are consumed.
Circular Supply Chain
The term "linear supply chain" refers to the traditional concept where goods travel in a straight line (from raw material to finished product). Modern logistics techniques are focused on the circular supply chain idea, which involves reusing previously, used products as raw materials.
Reusing products and materials is referred to as reverse logistics, and it is a novel and innovative technique. It assists businesses in reducing administrative and transportation expenses, increasing sustainability, improving customer service and loyalty, creating value, and conserving resources.
Used products can be kept in circulation if businesses work together with their suppliers and customers.
More focus on Risk Management and Supply Chain Resiliency
Without a doubt, companies must seriously consider supply chain risk management as a means to prepare for unfavorable circumstances. The increasing use of outsourcing, offshoring, product versatility, supply chain security, and significant interdependence across the supply chain highlights the need to deal with risks in the supply chain.
However, no matter how solid the plan is, it cannot prevent errors from happening. Here's where supply chain resilience comes into play. It is an accurate indicator of a company's ability to survive disruptive circumstances.
Visibility throughout the supply chain is necessary to detect disruptions, close collaboration with suppliers and distributors so that alternative supply routes can be found, and a good incident response plan to provide a course of action when disruption occurs are all steps that are important to make the supply chain more flexible and resilient.
Use of SaaS in the Supply Chain
The software-as-a-service (SaaS) Sapproach is growing in popularity in supply chain technology and logistics management and the growth of cloud computing. This is primarily due to SaaS's security and safety and the convenience of paying for precisely the services you require. Companies can avoid the high fixed costs of system maintenance, upgrades, and infrastructure-related expenditures by using SaaS.
Supply chains are continuously evolving technology, and the diversity of employee skill sets is playing an essential role in this evolution. Organizations are becoming more conscious of changes in their market competition and continuously updating or even reinventing their market offering to maintain and develop their market positioning.
Many companies are already turning to technology to improve their supply chain operations; however, before new systems are implemented and employees are upskilled to adapt to new ways of working, existing processes must be reviewed to eliminate waste activities from the supply chain, and data must be cleansed. To meet consumer demands, supply chains must be constantly checked for efficiency improvements and aligned with corporate strategy. At present, many organizations are reviewing the length of their supply chains, intending to minimize the overall size and bring supply chains closer to the organization or the end consumer, reduce risk exposure, eliminate waste, and align with corporate strategy.
FAQ’s
• What are the three foundations of supply chain?
The three foundations of a supply chain are strategy, service, and cost. Aligning the strategy, service and cost is essential to support your company’s overall business growth and objectives. A good strategy along with good service and reduced costs helps in increasing profitability and customer satisfaction.
• What are the pillars of supply chain?
Plan, Source, Make, Deliver and Return are the pillars of supply chain.
Planning involves strategies and methods to be planned, Sourcing means procuring raw materials and other services, Making means manufacturing, Deliver means ensuring that the products reach the customers on time and Return means post delivery customer support that is associated with all kinds of returned products.
• Why supply chain management is important?
The management of how goods and services evolve from raw materials to products sold to consumers is known as supply chain management. It includes the processes of transporting and storing raw materials, storing finished goods until they sell, and tracking where sold goods go so that you can use the data to boost future sales. A business with a well-managed supply chain can significantly reduce all operating costs associated with that chain, resulting in higher profits. The main goal of effective supply chain management is to increase profitability by improving customer satisfaction and reducing business costs.
{
"@context": "https://schema.org",
"@type": "FAQPage",
"mainEntity": [{
"@type": "Question",
"name": "What are the three foundations of supply chain?",
"acceptedAnswer": {
"@type": "Answer",
"text": "The three foundations of a supply chain are strategy, service, and cost. Aligning the strategy, service and cost is essential to support your company’s overall business growth and objectives. A good strategy along with good service and reduced costs helps in increasing profitability and customer satisfaction."
}
},{
"@type": "Question",
"name": "What are the pillars of supply chain?",
"acceptedAnswer": {
"@type": "Answer",
"text": "Plan, Source, Make, Deliver and Return are the pillars of supply chain.
Planning involves strategies and methods to be planned, Sourcing means procuring raw materials and other services, Making means manufacturing, Deliver means ensuring that the products reach the customers on time and Return means post delivery customer support that is associated with all kinds of returned products."
}
},{
"@type": "Question",
"name": "Why supply chain management is important?",
"acceptedAnswer": {
"@type": "Answer",
"text": "The management of how goods and services evolve from raw materials to products sold to consumers is known as supply chain management. It includes the processes of transporting and storing raw materials, storing finished goods until they sell, and tracking where sold goods go so that you can use the data to boost future sales. A business with a well-managed supply chain can significantly reduce all operating costs associated with that chain, resulting in higher profits. The main goal of effective supply chain management is to increase profitability by improving customer satisfaction and reducing business costs."
}
}]
}
Read More
Article | July 29, 2021
Risk management has been a problem for as long as supply chains have existed. Because of the interdependence of all its connections, even a minor issue in one isolated region has the potential to jeopardize a whole global supply chain. As a result, when major global trends and events occur, the potential for widespread supply chain disruption is enormous.
Global supply chain risks and market disruptions have reached an all-time high. The most notable of them is the COVID-19 pandemic. In a 2020 survey, the Institute for Supply Management discovered that 95% of companies faced operational issues due to the pandemic. As a result, business executives all around the globe believe that if they want to be more resilient and competitive in the present market, they need to modernize and make significant changes to their supply chain strategy.
Other recent factors that have had a significant impact on traditional supply chain practices include the fast pace of change in consumer behaviors and a pretty unstable trade and political environment.
In the last ten years, e-commerce spending has tripled, and internet shopping had increased by 149% in 2020 compared to the previous year. With the growth of e-commerce, there has been a rise in customer demand for faster delivery and more personalized shopping experiences. The Amazon Effect refers to the growing expectation for same-day delivery and its effect on businesses and logistical networks. To be resilient enough to react to these rising demands, supply chain managers have had to make fast and significant modifications to their logistics and warehousing networks, as well as discover new ways to collaborate with third-party fulfillment partners.
Even before the impact of COVID-19, American businesses were attempting to reduce their dependence on foreign manufacturers and suppliers. Foreign tariffs and trade policies had become more unpredictable by 2019, and businesses were seeking technological solutions to make the supply chains more self-sufficient and resilient. As a result, integrating digital transformation and Industry 4.0 technology into supply chain operations is quickly becoming a top concern for global business leaders.
How does Supply Chain Resilience Work?
A flexible contingency plan and the ability to react swiftly to operational disruptions are important characteristics of effective supply chain management. However, to be truly resilient, a supply chain must be able to predict and anticipate disruptions and, in many cases, avoid them entirely.
Strategic supply chain planning is an important step in achieving resilience because it synchronizes all supply chain components and increases visibility and agility. Supply and demand needs are better understood, and production is synchronized due to supply chain planning. This integrated, forward-thinking approach assists businesses in better anticipating problems, reducing the impact of supply chain disruptions, and improving overall operations.
When a business has the digital systems to analyze and make sense of Big Data, it significantly improves supply chain resilience. Artificial intelligence-enabled systems can curate disparate data sets from across the business and the globe. To discover trends and opportunities, news, competitor activity, sales reports, and even customer feedback can be examined together. The system's connected devices are constantly monitored, providing real-time insights about where and how processes can be automated and improved. For instance, AI, machine learning, and modern databases acquire and handle Big Data and analyze and learn from it in an almost infinite number of ways. This enables intelligent automation across the network and provides supply chain managers with the real-time insights they require to respond quickly to disruption and unexpected events.
Supply chain managers have traditionally sought to limit the number of partners and suppliers in their network to minimize operational and logistical complexity. This approach is based on the stability of the social, environmental, and political systems. Unexpected disruptions in one region can slow or even stop network operations across the board. Supply chain resilience technologies, such as blockchain, sensors, and advanced analytics, enable supply chain managers to monitor complex partnerships and supplier contracts even in the most remote parts of their network.
Profitability in the supply chain has always been dependent on minimizing excess and keeping inventories as lean as possible. Capacity and inventory buffers are expensive, and supply chain managers have often bet against disruptions to keep prices low. When the pandemic struck, many businesses discovered the real cost of the gamble. Supply chain operations can involve on-demand manufacturing, virtual inventories, and predictive demand forecasting using digital supply chain technologies to remain resilient, even in times of unexpected disruption.
Benefits of a Resilient Supply Chain
Finding a successful balance between supply and demand is a significant issue for any supply chain manager in an increasingly competitive market. Many businesses that have cut costs on diversification, supply chain technology, and other resilience measures have lately discovered the true cost of those choices. However, when businesses engage in diversification, supply chain technologies, and other resilience measures, they can achieve a variety of business benefits, including:
More efficient operations: Better resilience often results in less risk and a greater capacity to invest in innovation and growth. For example, according to a 2020 global business analysis conducted by Bain and Company, businesses that prioritized their investment in supply chain resilience had up to 60% quicker product development cycles and were able to increase production capacity by up to 25%.
Enhanced productivity: Resilient supply chain solutions lead to the overall system increased productivity. According to a McKinsey 2020 survey, supply chain leaders from across the world report increased productivity due to resilient supply chain systems, and 93% of those surveyed plan to prioritize resilient supply chain strategies for investment in the next year.
Risk reduction: Supply chain activities are often the most vulnerable to risk and loss in many businesses. Supply chains, by nature, are geographically distributed and functionally complex. As a result, supply chains are particularly vulnerable to risk. Resilient supply chain technologies minimize risk by providing insight into all network operations and enabling companies to improve and adjust their processes and logistics in real-time.
Technologies for an Agile Supply Chain
Digital transformation and modern supply chain technology provide businesses with the resilience and competitive advantage they need to react swiftly to disruptions and opportunities.
Artificial intelligence (AI): AI-powered supply chain systems can offer deep procedural and operational insights by gathering and analyzing data from many sources. Predictive analytics and Big Data analysis can assist in predicting risk and demand and recommending measures and reactions in the company.
Machine learning: Machine learning enables the discovery of patterns in supply chain data and the identification of these influential factors - all while constantly learning. This enables supply chain managers to react fast with the finest workflows and operational strategies available.
Industrial Internet of Things (IIoT): The IIoT network in a supply chain comprises connected devices and objects with sensors and unique IDs that allow them to transmit and receive digital data. They collect information and communicate with the central system. AI can analyze and understand this data to enable quick decisions and intelligent automation of supply chain operations and procedures.
Additive (3D) printing: Smart factories can quickly reprogram 3D printers to produce specific products on-demand without disrupting regular business operations in the long run. The accessibility of potential virtual inventories enables supply chains to defend themselves against disruption.
Robots and autonomous things: Robots and drones, which are intelligently automated for speed, efficiency, and accuracy, can adapt their operations on the go to meet quickly changing requirements. They also reduce the risk of harm by eliminating overly repetitive or dangerous tasks from human workers.
Modern databases: The resilient supply chain solutions rely on Big Data, advanced analytics, and real-time insights from modern databases. Supply chain technology can be improved to operate faster and most resilient when equipped with a modern ERP system and an in-memory database.
Resilience means more than just surviving a disruption in operations. A fully resilient supply chain and businesses survive hardship and use it to innovate and improve their business. Building a resilient supply chain is very important in this modern era because disruptions like a pandemic, wars, climate change, etc., are occurring a lot these days. A resilient supply chain helps businesses to survive and thrive even during tough times. To read more about ways to boost supply chain performance, click here.
FAQ
What is supply chain resilience?
Supply chain resilience refers to the supply chain's capacity to be prepared for unexpected risk events, react and recover swiftly to potential disruptions, and grow by shifting to a new, more desirable state in order to improve customer service, market share, and financial performance.
How is supply chain resilience measured?
A supply chain's resilience index is calculated by aggregating its company's resilience index. Given that supply chain company's performance influences overall supply chain performance, supply chain resilience should be measured using the companies' resilience index.
{
"@context": "https://schema.org",
"@type": "FAQPage",
"mainEntity": [{
"@type": "Question",
"name": "What is supply chain resilience?",
"acceptedAnswer": {
"@type": "Answer",
"text": "Supply chain resilience refers to the supply chain's capacity to be prepared for unexpected risk events, react and recover swiftly to potential disruptions, and grow by shifting to a new, more desirable state in order to improve customer service, market share, and financial performance."
}
},{
"@type": "Question",
"name": "How is supply chain resilience measured?",
"acceptedAnswer": {
"@type": "Answer",
"text": "A supply chain's resilience index is calculated by aggregating its company's resilience index. Given that supply chain company's performance influences overall supply chain performance, supply chain resilience should be measured using the companies' resilience index."
}
}]
}
Read More