Introduction and basic building blocks. Adding costs to two echelon supply chains. Advanced modeling and expanding to multiple echelons. How to get industrial streng results. Case study wrap up.

Winner of the 2016 Coup de Coeur prize at the Plumes des Achats & Supply Chain, Paris. Focusing on the design of robust value-creating supply chain networks (SCN) and key strategic issues related to the number; location, capacity and mission of supply chain facilities (plants, distribution centers) – as well as the network structure required to provide flexibility and resilience in an uncertain world – this book presents an innovative methodology for SCN reengineering that can be used to significantly improve the bottom line of supply chain dependent businesses. Providing readers with the tools needed to analyze and model value creation activities, Designing Value-Creating Supply Chain Networks examines the risks faced by modern supply chains, and shows how to develop plausible future scenarios to evaluate potential SCN designs. The design methods proposed are based on a visual representation formalism that facilitates the analysis and modeling of SCN design problems, book chapters incorporate several example problems and exercises which can be solved with Excel tools (Analysis tools and Solver) or with commercial statistical and optimization software.

This book is aimed at an important and under-served niche within the supply chain market: strategic supply chain design. Almost all supply chain professionals need to know about this discipline. No current book covers the theory and practice in a way that ensures readers will be successful with this discipline in the field. Strategic network design is about selecting the right number, location, and size of warehouses, plants, and production lines. It is about determining the territories of your facilities, what product should be made where, and how product should flow through the supply chain. It is about developing a good model of your supply chain so you can make good operational decisions. Network design is important because a good design helps a firm execute its strategy. To do it right, it requires analytics and optimization. And, when firms do it right, they can reduce supply chain costs by 5-15% which can translate into tens of millions of dollars of savings for the firm. The book brings together our experience in completing 100s of these projects, our teaching of this material, and our understanding of the science that drives these studies. The book is ideal for supply chain managers, analysts, and consultants who must do these studies, for people who work for a company or organization with a supply chain and want to understand the design and strategy better, and for professors who want to bring a practical and intellectually interesting material to the classroom. Our goal is to help you deeply understand this topic. We covers the topics with realistic case studies, discussions of practical consideration, and a mix of the science. This helps you understand the topic, understand how it applies to you, and build your intuition. We hope you enjoy the book!

Closed Loop Supply Chains and its management have become mandatory for firms to stay competitive and profitable. This book provides insights for designing supply chain networks by understanding and incorporating key return parameters into the network design, which will affect profitability. The book discusses how customer categories and their acceptance behavior is incorporated into the network design. It will also show how to analyze the interaction of parameters on supply chain network design and profitability, offers modeling framework for incorporating uncertainties in the return product parameters, and how to design a robust network. Invaluable for managers in designing a sustainable, robust, and profitable supply chain network and ideal for managers, practitioners, and researchers in the area of supply chain network design and optimization.

This easy guide introduces the modern field of supply chain and logistics management, explains why it is central to business success, shows how its pieces fit together, and presents best practices you can use wherever you work. Myerson explains key concepts, tools, and applications in clear, simple language, with intuitive examples that make sense to any student or professional.

Supply Chain Design and Management introduces the concept of a sharing mechanism that will ensure the sustainability of a supply chain by fair distribution of costs and benefits. This book provides a holistic view of the supply chain from product development, purchasing, manufacturing, distribution and storage, to retailing. The presentation of the enabling technologies in supply chain management will help companies better understand their options.§ Provides a step-by-step framework for designing supply chains at the strategic level§ Written for those who deal with the supply chains on a day-to-day basis as well as those new to the field§ Provides a synthesis of best practices for managing supply chains at the tactical level§ Provides a review of the state-of-the-art in enabling information technologies and business applications§ Explains the concepts with examples from the industry and simple mathematical formulations§ Is accessible to graduate students for an excellent understanding of how supply chains work and can join the industry armed with the knowledge of the workings of supply chains

When it comes to optimization techniques, in some cases, the available information from real models may not be enough to construct either a probability distribution or a membership function for problem solving. In such cases, there are various theories that can be used to quantify the uncertain aspects. Optimization Techniques for Problem Solving in Uncertainty is a scholarly reference resource that looks at uncertain aspects involved in different disciplines and applications. Featuring coverage on a wide range of topics including uncertain preference, fuzzy multilevel programming, and metaheuristic applications, this book is geared towards engineers, managers, researchers, and post-graduate students seeking emerging research in the field of optimization.