Humanitarian supply chain information systems: insights for successful implementation

Warehousing and Distribution

Article | July 11, 2023

The rapid growth of e-commerce continues to create new challenges for retailers as they plan distribution strategies. One of those challenges is managing the high volume of returns. One in three shoppers returns items, and more than half read a company’s returns policy before making a purchase. Retailers lose $50 billion annually due to inefficiencies in processing returns, and distribution centers handling returns need 15% to 20% more space than a traditional facility.

Supply Chain

Article | May 26, 2023

Explore the techniques to improve warehousing and distribution centre. Learn from the best books of logistics and distribution management and enhance warehousing operations and distribution processes. Efficient warehouse management is crucial in the complex world of distribution and logistics. With various warehouse types serving different purposes, warehouse managers are responsible for ensuring smooth operations, safeguarding valuable goods, and optimizing supply chain units. Building a strong knowledge base is key, and the best way to start is by delving into the top warehouse management books. This article presents a curated list of essential reads that will provide you with a solid foundation in the warehouse and distribution field. From understanding fundamentals to exploring cutting-edge practices, these books help in better decision-making regarding warehousing and distribution operations. 1. Fundamentals of Warehousing & Distribution Author Name: Material Handling Industry Fundamentals of Warehousing & Distribution is an essential book for professionals in the warehousing and distribution industry. Published as part of the MHI Career & Technical Education Program, this series of four warehouse management books provides comprehensive knowledge on material handling equipment, information technology tools, and warehouse operations. Volume 1 serves as a foundational guide, introducing readers to modern warehouses and distribution centers' equipment, processes, and operations. With its focus on practical knowledge and industry best practices, this warehouse and distribution book provides readers with the skills and expertise necessary for successful warehouse and distribution management. 2. Warehousing and Distribution Practices Author Name: xu ji ying Divided into two parts, Warehousing and Distribution Practices covers seven key areas of the real-world processes for managing storage and implementation of effective distribution strategies. This distribution management book focus on essential knowledge and skills, each section provides valuable insights through logistics standard terms, case studies, knowledge links, and practical application. As one of the best books on logistics and distribution management, it will give you the complete step-by-step guidance to expand and improve warehousing and distribution centre by leveraging the theory shared by xu ji ying. 3. Warehousing And Distribution Management Project Type Tutorial Author Name: Wang Yu Warehousing and Distribution Management Project Type Tutorial, a logistics and supply chain management book, revolutionize logistics education with its innovative approach. This comprehensive book goes beyond traditional teaching methods, immersing readers in real-world scenarios and practical projects. Through eleven immersive teaching projects and thirty-two dynamic learning tasks, readers gain hands-on experience in system planning, business management, quality control, inventory operations, technology application, and more. Developed in collaboration with industry experts, this tutorial bridges the gap between theory and practice, empowering logistics professionals to navigate the complexities of warehouse and distribution management. With its unique project-based structure, this warehousing and distribution book delivers a transformative learning experience for aspiring logistics and supply chain industry leaders. 4. Fundamentals of Warehousing & Distribution: Volume 3 Author Name: MHI Fundamentals of Warehousing & Distribution, a logistics and supply chain management book revolutionizes how logistics professionals perceive warehouses. By delving into captivating case study examples, this book unveils the intricacies of different warehouse configurations, showcasing how cutting-edge equipment and technologies empower diverse order fulfilment strategies. It challenges conventional wisdom by emphasizing that warehouses are no longer mere storage spaces; they have transformed into dynamic hubs that efficiently cater to a wide range of order types, from bulk shipments to individual products. With its ground-breaking insights and practical applications, this volume is a game-changer for industry experts seeking to elevate their warehousing and distribution management skills. 5. Warehouse Distribution and Operations Handbook Author Name: David Mulcahy Optimize warehouse operations with this warehouse and distribution management book, Warehouse Distribution and Operations Handbook. With a focus on improving inventory management, reducing costs and enhancing customer experiences, this handbook offers best practices, methods, equipment applications and technologies to utilize in different warehouse and distribution centres. Whether it's industrial, mail-order, or retail facilities, this comprehensive logistics and distribution management book provides the knowledge and strategies to drive profitability and control assets. It is an essential resource for anyone in the logistics industry looking to master distribution management and excel in warehouse operations. 6. Warehouse and Distribution Centre Author and Editor Name: Robert Mulder & Michiel Kobussen The warehouse and Distribution Centre is a valuable resource for logistics professionals and architects navigating the evolving landscape of warehouse design. This distribution management book addresses designers' pressing challenges, including cost control, technical requirements, and safety considerations. It offers a comprehensive system of theories, guidelines, and design standards, accompanied by a diverse collection of global warehouse and distribution centre projects. Balancing both the ends of practical reference and inspirational examples, this best book for distribution management equips readers with the knowledge and insights needed to create efficient, innovative, and sustainable warehouse and distribution solutions. It is a must-read for anyone involved in warehousing and distribution management. 7. Warehousing and Distribution Operation Practice Author Name: peng jian cheng Rooted in practical vocational education, Warehousing and Distribution Operation Practice is a book that emphasizes integrating theoretical knowledge with functional operations. It provides a hands-on approach to learning, enabling readers to apply their knowledge directly in real-world scenarios. This warehousing and distribution book will give you the required skills and expertise to optimize operational efficiency. With the help of practices shared by peng jian in the warehouse management book, readers will get insights into supply chain management and logistics operations. In addition, it will not only help in improving the processes in the warehouse and distribution but also enhance the overall business. 8. Operations and Supply Chain Management Essentials You Always Wanted to Know Author Name: Vibrant Publishers & Ashley McDonough Overcome the complexities of supply chain management and warehouse operations with Operations and Supply Chain Management Essentials You Always Wanted to Know. This engaging book takes you on a captivating journey through the interconnected world of logistics, unveiling the significance of every step in the process. Through a compelling narrative centred around a fictional company and its consumer product, you'll explore the challenges, decisions, and adaptations supply chain professionals face. Gain a deep understanding of supply chain operations, from disruptive forces to practical applications, and discover the importance of interactive business domains. 9. Start your Own Wholesale Distribution Business Author Name: The Staff of Entrepreneur Media & Christopher Matthew Spencer Embark on a lucrative journey in the distribution industry with 'Start Your Own Wholesale Distribution Business.' This comprehensive guide, crafted by the experts at Entrepreneur Media, equips you with the essential steps to establish a thriving wholesale operation from the comfort of your home. Discover the art of being an intermediary, connecting manufacturers and retailers to reap profits. Uncover industry-specific strategies, secure funding, identify profitable niches, forge valuable partnerships, and effectively market your business. With insights from experienced wholesale distributors, sample forms, checklists, and worksheets, this warehousing and distribution book is your roadmap to mastering the world of distribution and logistics. 10. Warehouse Management: The Definitive Guide to Improving Efficiency and Minimizing Costs in the Morden Warehouse Author Name: Gwynne Richards Discover one of the best books for logistics management in the modern era with 'Warehouse Management: The Definitive Guide to Improving Efficiency and Minimizing Costs in the Modern Warehouse.' This extensively updated fourth edition delves into the latest technologies, such as robotics, cobots, and AI, revolutionizing warehouse operations. Author Gwynne Richards offers expert insights and realistic solutions to optimize warehouse performance and improve efficiency. This effective distribution management book provides strategies and environmental initiatives to ensure a sustainable supply chain. Packed with real case studies and online resources, this book is an essential resource for distribution and logistics professionals. Conclusion Warehousing and distribution books have been a valuable resource for reference in the logistics field. While this compilation is not exhaustive, it offers a robust selection of warehouse management books that can effectively address various related challenges. Whether seeking insights into warehouse and transportation management or exploring other facets of supply chain management, logistics management, and procurement, the knowledge gained will be a worthwhile investment for future decision-making.

Management

Article | June 21, 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.

Article | April 20, 2021

You might be wondering what the benefits are of benchmarking. Well, imagine you are training for a 100 metre sprint in your district. What would be the key number, or metric that you would need to know? It would, of course, be what the winning time was when this race was last run in your district. Without that information, you don’t know what you’re trying to target. It would be impossible to know if you’ll have any chance at all of winning the race. It’s exactly the same in business. If, for example, you are concerned about the pick rates in your warehouse, or your transport costs, or your inventory accuracy, benchmarking can help you because it can show you exactly where your performance is compared to others in your industry. A few years ago, I was working with an automotive parts business. They had a little issue with their picking productivity in the warehouse. They wondered how good it was, whether they could improve it. They actually thought it was okay. We looked at the figures and compared them with other businesses. This helped us realise that their picking productivity should be three times better than it was. And believe it or not, over a few months they did begin to improve their productivity. Why? Because benchmarking opened their eyes to the fact that they were at a level quite far below others in the industry. That’s the beauty of benchmarking. Until you know what others are doing, you can’t be sure how good your performance is. If you’ve never tried benchmarking, there are three ways you could do it. 1. Informal Benchmarking This exercise would involve you measuring particular functions or aspects of your business and comparing that against other parts of your business. Let’s say you have a warehouse operating in one city and another operating in another city. You might start to measure the same metrics and see which one is performing better. You might know other people in the industry who are also operating warehouses so you might agree to share some data with them. This is probably the easiest way to start off, but it has some downsides: You’re only measuring against a very small sample size. If all of you in the pool are not that good, how would you know what good is? You have to make sure that the businesses are similar and you are measuring things in exactly the same way. It’s very important in benchmarking to have a standard way of applying the metric. 2. Formal Benchmarking This can work for much larger businesses. Perhaps you have operations in many different countries. You could agree a formal structure for how you are going to measure performance. You could do monthly or quarterly benchmarks with all the parts of your international organisation. You could learn from each other and share best practice. This method is okay but you’re not getting access to a very large pool of results to measure yourself against. You will find that companies are very reluctant to give out benchmarking data. You might also be operating in an environment where the performance is quite low right across the business. 3. Hire a Professional Benchmarking Firm This is the ultimate way to do it, although there are not a lot of professional benchmarking firms such as ours around. If you do manage to find one, you will quickly realise that there are significant benefits to be had by bringing in the professionals: The metrics are put together in exactly the same way: When we do a benchmarking exercise for our consulting clients, we go through a very robust data-gathering process and then make sure all the costs, for example, are in the same buckets as everyone else’s in the database. You gain access to a big pool of results: Professionals have measured hundreds, if not thousands, of companies. This enables you to say, ‘Our company is this size, it operates in this industry, these are the characteristics of our supply chain, who else in that pool of results is like us? We want to be measured against them.” It’s no good measuring the performance of a grocery retailer, for example, against an industrial product supplier. They have different supply chains. You need to be measuring like with like.