دانلود کتاب زمانبندی زنجیره تامین

The topic of this book is decision-making at the interface of supply chain management and production scheduling. These are both very active research areas with profound practical impact through diverse applications. An essential component of such decision processes is coordination. In this book, coordination is studied in two different environments. We first study the coordination of multiple operational functions by a single centralized decision maker. This work generalizes the classical scheduling environment that typically addresses a single operation. We also study the coordination of the decisions of multiple decentralized decision makers who are self-interested but may be either cooperative or noncooperative. This work translates classical supply chain research into more detailed operational planning. The study of these topics within the book ranges broadly through the research areas of classical scheduling, combinatorial optimization, computational complexity, algorithm design, heuristic performance analysis, and cooperative and noncooperative game theory. The book begins with two introductory chapters. Chapter 1 provides historical background on the research areas that support this work and identifies numerous applications that fall within our scope. Chapter 2 provides a concise overview of essential concepts and mathematical tools that are applied in the main body of the book. The remainder of the book has two parts. Part I consists of Chaps. 3 through 6 on centralized supply chain scheduling problems, that is, those with a single decision maker who controls multiple operational functions. Chapter 3 studies offline versions of various integrated production and outbound distribution scheduling problems, whereas Chap. 4 is focused on online versions of such problems. Chapter 5 considers problems in which product pricing and production scheduling decisions are made together. Chapter 6 discusses situations where subcontracting and scheduling decisions are made jointly in order to optimize the overall system performance. In each chapter, we present solution algorithms and heuristics, analyze their performance, and evaluate the benefit of joint optimization. Part II of this book consists of Chaps. 7 through 9. These chapters study decentralized problems, that is, those with multiple entirely or predominantly self interested players, in supply chain scheduling. Chapter 7 uses optimization models to study the cost of conflict that arises from unequal supply chain power and the benefit that results when players coordinate their schedules. Chapter 8 uses cooperative games to study the stability of coalitions between supply chain members and various schemes for compensating them using the gains from cooperation. Chapter 9 uses noncooperative games to study equilibrium solutions, their system performance, and possible ways to enhance that performance including by incentivizing the truthful reporting of private information. Our motivation for writing this book arises in part from our consistent research interest in scheduling and related problems over more than 20 years. A second motivating factor is the influence of supply chain management which focuses on the coordination issue mentioned above, but typically does not relate it to the level of detailed scheduling decisions. We believe that the integration of these two research areas has both theoretical interest and practical value. In addition, because many scheduling problems have a simple structure that offers easily obtained insights, we have observed that such problems are used in numerous works to develop results within cooperative and noncooperative game theory. Those works naturally fall within the scope of our book. Our writing process for the book has been an evolutionary one. It began with a broad concept of a supply chain, which includes, for example, a traditional vertical supply chain such as a supplier and a manufacturer, where a single decision maker coordinates multiple operational functions, and a horizontal supply chain such as multiple suppliers competing for the capacity of a manufacturer, where there are multiple decision makers at the same level. Additional generality was provided by the flexibility to model decision makers as either jobs that require scheduling or machines that schedule the jobs. The focus on intensified competition, which has been a major motivation for the development of supply chain management, has also motivated the many supply chain scheduling applications we discuss.We have been inspired by the growing variety of applications enabled by e-commerce that can be modeled as supply chain scheduling problems.