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Supply Chain Segmentation (SCS) has become a critical tool in optimizing supply chain performance. By using segmentation, an organization is taken out of the world of one size fits all and brought into a world that facilitates customized responses. This book explains what SCS is, how it works, and the role of analytics. The book gives detailed case studies demonstrating how SCS is applied and improves efficiency. It covers software appropriateness and integration, as well as a full summary perspective on segmentation and its competitive impacts in terms of economic pressure, supplier and consumer interfaces.
Supply Chain Analytics introduces the reader to data analytics and demonstrates the value of their effective use in supply chain management. By describing the key supply chain processes through worked examples, and the descriptive, predictive and prescriptive analytic methods that can be applied to bring about improvements to those processes, the book presents a more comprehensive learning experience for the reader than has been offered previously. Key topics are addressed, including optimisation, big data, data mining and cloud computing. The author identifies four core supply chain processes – strategy, design, execution and people – to which the analytic techniques explained can be applied to ensure continuous improvement. Pedagogy to aid learning is incorporated throughout, including an opening section for each chapter explaining the learnings designed for the chapter; worked examples illustrating how each analytic technique works, how it is applied and what to be careful of; tables, diagrams and equations to help ‘visualise’ the concepts and methods covered; chapter case studies; and end-of-chapter review questions and assignment tasks. Providing both management expertise and technical skills, which are essential to decision-makers in the supply chain, this textbook should be essential reading for advanced undergraduate and postgraduate students of supply chain analytics, supply chain leadership, and supply chain and operations management. Its practice-based and applied approach also makes it valuable for operating supply chain practitioners and those studying for professional qualifications. Online resources include chapter-by-chapter PowerPoint slides, tutorial exercises, written assignments and a test bank of exam questions.
An incredible volume of data is generated at a very high speed within the supply chain and it is necessary to understand, use and effectively apply the knowledge learned from analyzing data using intelligent business models. However, practitioners and students in the field of supply chain management face a number of challenges when dealing with business models and mathematical modelling. Supply Chain Analytics and Modelling presents a range of business analytics models used within the supply chain to help readers develop knowledge on a variety of topics to overcome common issues. Supply Chain Analytics and Modelling covers areas including supply chain planning, single and multi-objective optimization, demand forecasting, product allocations, end-to-end supply chain simulation, vehicle routing and scheduling models. Learning is supported by case studies of specialist software packages for each example. Readers will also be provided with a critical view on how supply chain management performance measurement systems have been developed and supported by reliable and accurate data available in the supply chain. Online resources including lecturer slides are available.
This book addresses the challenges companies face when different customer value propositions require them to pursue a differentiated supply chain strategy. It provides practical insights on how to achieve successful supply chain segmentation and presents the benefits this can yield for companies on the basis of best-in-class industry case studies from Gardena, Philips Luminaire, Siemens Healthcare and Volvo Construction Equipment. Drawing on these examples, it provides recommendations and solutions on how to define supply chain segmentation, and how to set up and implement a transformation program. Furthermore, it presents an in-depth discussion of the current theoretical background of supply chain segmentation and introduces the current trends and available frameworks. Offering readers specific, pragmatic guidance on the main challenges and opportunities and proposing ways to effectively measure efficiency and performance, the book concludes with the do’s, don’ts and most important aspects to keep in mind when considering an end-to-end segmentation.
All too often, entrepreneurs start small businesses unaware of their need for a supply chain network. And, large companies are acquired and their product lines merged with little regard for supply chain network integration and rationalization. Written for practitioners by a practitioner with 40 years of experience, Supply Chain Construction: The Ba
The second edition of this popular textbook presents a balanced overview of the principles of supply chain management. Going beyond the usual supply chain text, Principles of Supply Chain Management not only details the individual components of the supply chain, but also illustrates how the pieces must come together. To show the logic behind why su
Today's supply chains are becoming more complex and interconnected. As a result, traditional optimization engines struggle to cope with the increasing demands for real-time order fulfillment and inventory management. With the expansion and diversification of supply chain networks, these engines require additional support to handle the growing complexity effectively. This poses a significant challenge for supply chain professionals who must find efficient and cost-effective solutions to streamline their operations and promptly meet customer demands. Quantum Computing and Supply Chain Management: A New Era of Optimization offers a transformative solution to these challenges. By harnessing the power of quantum computing, this book explores how supply chain planners can overcome the limitations of traditional optimization engines. Quantum computing's ability to process vast amounts of data from IoT sensors in real time can revolutionize inventory management, resource allocation, and logistics within the supply chain. It provides a theoretical framework and practical examples to illustrate how quantum algorithms can enhance transparency, optimize dynamic inventory allocation, and improve supply chain resilience.
Master a complete, five-step roadmap for leveraging Big Data and analytics to gain unprecedented competitive advantage from your supply chain. Using Big Data, pioneers such as Amazon, UPS, and Wal-Mart are gaining unprecedented mastery over their supply chains. They are achieving greater visibility into inventory levels, order fulfillment rates, material and product delivery… using predictive data analytics to match supply with demand; leveraging new planning strengths to optimize their sales channel strategies; optimizing supply chain strategy and competitive priorities; even launching powerful new ventures. Despite these opportunities, many supply chain operations are gaining limited or no value from Big Data. In Big Data Driven Supply Chain Management, Nada Sanders presents a systematic five-step framework for using Big Data in supply chains. You'll learn best practices for segmenting and analyzing customers, defining competitive priorities for each segment, aligning functions behind strategy, dissolving organizational boundaries to sense demand and make better decisions, and choose the right metrics to support all of this. Using these techniques, you can overcome the widespread obstacles to making the most of Big Data in your supply chain — and earn big profits from the data you're already generating. For all executives, managers, and analysts interested in using Big Data technologies to improve supply chain performance.
This book presents a big-picture overview of the entire Shingo improvement process. It fully discusses the needs and benefits of the Shingo process, and what is required if you seek to execute the Shingo Model in your enterprise and focuses on creating an enduring organization-wide continuous improvement process. It gives the reader a discussion of the entire Shingo experience while most existing books on the model are course-specific. There are numerous discussions, conference talks, and webinars of why the Shingo process is beneficial, and what types of improvements can be achieved, but the crucial material has not been assembled in one concise book, giving the executive, manager, or supervisor an overview and understanding of what the Shingo experience entails. The main purpose of this book. It is for the executives who want to understand their role in supporting and leading middle management with its implementation. Many executives from developing countries all over the world are seeking a concise definition of what the Shingo model is, and this book functions as the perfect primer. Even those who have attended and implemented the lessons from the Shingo Institute's courses would find this book a benefit as it serves perfectly as backup and reference material. In addition, this book helps anyone who has started their journey with the Shingo model and may be confused about what to do and expect -- It gives them a vision of what the continuing journey will look like. The Shingo process is being taught at numerous universities and this book could indeed serve as the appropriate textbook or supplemental reading. Essentially, this book teaches an innovative and extremely successful approach to continuous improvement, referred to as the Shingo process. It is based on a set of universally accepted principles that are endorsed by improvement leaders such as Covey and companies such as Toyota. This book is not a detailed review or a replacement of the Shingo workshops. It is an overview of the entire Shingo process, starting with a discussion of the challenges that many of todays enterprises are experiencing. The author, in his role as a PhD in economics, has studied industries and has worked closely with many of them attempting to understand their weaknesses. This book builds upon an understanding of these weaknesses. The book discusses how the over-all Shingo methodology fits into these organizations and highlights the benefits. The next step is then to discuss what requirements are necessary for an organization to get ready for a Shingo transformation. What are the steps that the organization needs to go through, and when will it know that it is ready to begin? The book briefly reviews the Shingo Insights and Principles and explains how the Shingo courses should be best utilized to facilitate the desired transformation. It suggests some alternative plans for over-all implementation based on the current state of the enterprise. It explains why there is no “one way” for successful implementation and how the implementation sequence needs to be customized. It also discusses the length of time needed for success and how this differs depending on the current enterprise environment. Lastly the book explains how the implementation and Shingo training is never finished. It is an on-going process and success is defined by internal improvements, not by some arbitrary external benchmark. The book is intended to be educational, thought provoking, entertaining in its stories and examples, and a guideline towards the development of a plan for continuous improvement. This book is filled with stories and examples, showing successful and not so successful implementations. The stories are used to highlight many of the pitfalls that have arisen and may arise for you and which can be avoided if the reader is aware of them and knows how to watch for them.
A facility-wide improvement initiative is expensive in terms of both time and money. Perhaps the most disappointing thing about them is that they often end up as temporary measures that may produce early results but are unsustainable in the long run. The unseen cost is that after they see such initiatives come and go, employees begin to see them as futile, temporary annoyances rather than the permanent improvements they are meant to be. The Shingo ModelTM begins with culture informed by operational excellence principles that lead to an understanding of what aligns systems and tools and can set any organization on a path toward enterprise excellence with sustainable continuous improvement. The Shingo Model is not an additional program or another initiative to implement. Instead, it introduces Shingo Guiding Principles on which to anchor current initiatives. Ultimately, the Shingo Model informs a new way of thinking that creates the capability to consistently deliver ideal results to all stakeholders. This is enterprise excellence – the level of excellence achieved by Shingo Prize recipients. In Discover Excellence: An Overview of the Shingo Model and Its Guiding Principles, readers will learn the basics of the Shingo Model, discover the Three Insights of Enterprise ExcellenceTM, and explore how the Shingo Guiding Principles inform the kind of ideal behaviors that lead to sustainable results. This book is the introduction to the Shingo Model and prepares the reader for a deeper dive into the Shingo Guiding Principles.