Capacity Allocation Mechanisms and Coordination in Supply Chain Under Demand Competition PDF Download

Author: Jianbin Li
Publisher: Springer Nature
ISBN: 9811965773
Category : Business & Economics
Languages : en
Pages : 258

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Book Description
This book aims at providing cases with inspiring findings for global researchers in capacity allocation and reservation. Capacity allocation mechanisms are introduced in the book, as well as the measures to build models and the ways to achieve supply chain coordination. In addition, it illustrates the capacity reservation contract and quantity flexible contract with comparisons and some numerical studies. The book is divided into 7 chapters. Chapter 1 introduces the background and the latest development of the research. Chapter 2 introduces how to manage downstream competition through capacity allocation in symmetric market, including proportional mechanism and lexicographic mechanism. Demand competition is introduced in Chapter 3 as well as the uniform allocation mechanism and the comparisons among three different mechanisms. In Chapter 4, we give information about demand competition with fixed factor allocation, and the comparison with other allocations. Chapter 5 provides the optimal strategies under fixed allocation with multiple retailers and the impacts of fixed proportions. Chapter 6 illustrates how to achieve supply chain coordination through capacity reservation contract and its comparison with the quantity flexibility contract, and in Chapter 7 we describe outsourcing decisions and order policies in different systems with some numerical studies. We sincerely hope that this book can provide some useful suggestions and inspirations for scholars around the world who have the same interests in this field.

Author: Tsan-Ming Choi
Publisher: Springer Science & Business Media
ISBN: 3642192572
Category : Business & Economics
Languages : en
Pages : 651

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Book Description
Channel coordination is a core subject of supply chain management. Over the past decade, much research effort has been devoted to exploring the detailed mechanisms for achieving supply chain coordination under uncertainty, generating many fruitful analytical and empirical results. Despite the abundance of research results, there is an absence of a comprehensive reference source that provides state-of-the-art findings on both theoretical and applied research on the subject. In addition, with the advance of knowledge and technologies, many new topics on supply chain coordination under uncertainty have appeared in recent years. This handbook extensively examines supply chain coordination challenges with a focal point on discovering innovative measures that can help tackle the existing and emerging challenges. The book is organized into five parts, which include chapters on innovative analytical models for coordination, channel power and bargaining, technological advancements and applications, empirical analysis, cases studies and review. This handbook provides new empirical and analytical results with precious insights, which will not only help supply chain agents to understand more about the latest measures for supply chain coordination under uncertainty, but also help practitioners and researchers to know how to improve supply chain performance based on innovative methods.

Author: Martin Albrecht
Publisher: Springer Science & Business Media
ISBN: 3642028330
Category : Business & Economics
Languages : en
Pages : 227

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Book Description
Integrated supply chain planning is well understood by theory and widely applied in practice – however, only with respect to intra-organisational supply chains. In inter-organisational supply chains, an additional, yet unresolved problem arises: due to confidentiality reasons, decentralized parties keep their local data private, which prevents an integrated planning. Local planning procedures such as upstream planning, which are usually applied then, result in suboptimal solutions for the supply chain as a whole. In this work, new mechanisms for inter-organizational, collaborative supply chain planning are presented. These mechanisms are able to identify the systemwide optimum for several classes of supply chain planning problems. They can be applied by two or more self-interested parties and do not require a trusted third party. Extensive computational tests for randomly generated and real-word data suggest a favorable performance of these mechanisms.

Author: Zhi-Long Chen
Publisher: Springer Nature
ISBN: 3030903745
Category : Business & Economics
Languages : en
Pages : 699

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Book Description
Supply chain scheduling is a relatively new research area with less than 20 years of history. It is an intersection of two traditional areas: supply chain management and scheduling. In this book, the authors provide a comprehensive coverage of supply chain scheduling. The book covers applications, solution algorithms for solving related problems, evaluation of supply chain conflicts, and models for encouraging cooperation between decision makers. Supply chain scheduling studies detailed scheduling issues within supply chains, as motivated by a variety of applications in the real world. Topics covered by the book include: Coordinated decision making in centralized supply chains, including integrated production and distribution scheduling, joint scheduling and product pricing, and coordinated subcontracting and scheduling. Coordination and competition issues in decentralized supply chains, including conflict and cooperation within scheduling decisions made by different parties in supply chains, and both cooperative and non-cooperative supply chain scheduling games. The book describes a variety of representative problems within each of these topics. The authors define these problems mathematically, describe corresponding applications, and introduce solution methods for solving each problem to improve supply chain performance.

Author: Sridhar Tayur
Publisher: Springer Science & Business Media
ISBN: 1461549493
Category : Business & Economics
Languages : en
Pages : 851

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Book Description
Quantitative models and computer-based tools are essential for making decisions in today's business environment. These tools are of particular importance in the rapidly growing area of supply chain management. This volume is a unified effort to provide a systematic summary of the large variety of new issues being considered, the new set of models being developed, the new techniques for analysis, and the computational methods that have become available recently. The volume's objective is to provide a self-contained, sophisticated research summary - a snapshot at this point of time - in the area of Quantitative Models for Supply Chain Management. While there are some multi-disciplinary aspects of supply chain management not covered here, the Editors and their contributors have captured many important developments in this rapidly expanding field. The 26 chapters can be divided into six categories. Basic Concepts and Technical Material (Chapters 1-6). The chapters in this category focus on introducing basic concepts, providing mathematical background and validating algorithmic tools to solve operational problems in supply chains. Supply Contracts (Chapters 7-10). In this category, the primary focus is on design and evaluation of supply contracts between independent agents in the supply chain. Value of Information (Chapters 11-13). The chapters in this category explicitly model the effect of information on decision-making and on supply chain performance. Managing Product Variety (Chapters 16-19). The chapters in this category analyze the effects of product variety and the different strategies to manage it. International Operations (Chapters 20-22). The three chapters in this category provide an overview of research in the emerging area of International Operations. Conceptual Issues and New Challenges (Chapters 23-27). These chapters outline a variety of frameworks that can be explored and used in future research efforts. This volume can serve as a graduate text, as a reference for researchers and as a guide for further development of this field.

Author: Yanni Ping
Publisher:
ISBN:
Category : Business logistics
Languages : en
Pages : 144

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Book Description
A decentralized supply chain is a network consists of multiple decision makers including the original equipment manufacturer (OEM), the upstream suppliers, retailers and downstream customers. Each of these entities has different information and incentive towards profit and cost priorities. The structure of decentralized supply chains are prevalent today with two growing trends of the manufacturers' outsourcing practices and the retailers' application of novel selling strategies. This dissertation is inspired and has been conducted in two themes under these two trends accordingly, with one focused on the Original Equipment Manufacturers' (OEM) outsourcing decision making problems and the other on the retailer's pricing and inventory decision making problems when they are applying newly-emerged selling strategies such as Group Buying selling. Many OEMs are constantly facing issues with limited production capacity and unsatisfied demand from downstream customers. We first explore how the external suppliers' quality affects the OEM's outsourcing strategy as well as its down-stream demand. A quality-driven demand function is formulated and imbedded into a finite-horizon model on supplier selection and order allocation decisions. We study a two-period model and find it is optimal for the OEM to select suppliers according to their per unit effective procurement cost in the second period, which is defined as the sum of purchase cost and quality cost, and identify the unimodality of the second period value function. In the numerical example, We find the OEM sometimes is better off by not meeting all the demand, even when the supply pool has enough capacity since the benefit of fulfilling all demand could be offset by the future demand decrease caused by products outsourced from low quality suppliers in the current period. Due to the complexity of the first period problem, We characterize the optimal policy under some special cases when certain conditions are met. We also study the multiple period problem using numerical examples to develop a Demand-Driven Policy and to offer some managerial insights on the outsourcing strategy. The notion of "long term capability" of outsourcing attracts many researcher's attention recently. Under the similar structure of a decentralized supply chain, We consider a one-OEM-one-supplier case, where the OEM outsources finished products to a contract manufacturer (CM), and the CM, by adopting existing technology, achieves quality improvement through learning-by-doing. Besides the role of upstream partner, the CM also acts like a downstream competitor. We study the OEM's outsourcing strategy dynamically from both cases when quality competition exists and does not exist by constructing a two-period model and explore the interplay of learning, quality and the OEM's outsourcing strategy. We identify the condition under which pure outsourcing, partial outsourcing or non-outsourcing outplays the others, where pure outsourcing, partial-outsourcing and non-outsourcing strategies refers to the practice when the OEM outsources all, partial or none of its demand to the CM. Under no quality competition where the CM's quality improvement does not affect the OEM's future demand, we find that the OEM would still be better off by applying partial outsourcing strategy when CM's learning triggers future quality improvement. Even when the wholesale price charged by the CM is higher than its own production cost, the OEM still has the incentive to partial outsourcing as a tradeoff for more future demand. When quality competition exists, the CM charges a price lower than the OEM's in-house production cost to trigger the OEM to still outsource during the first period. If the CM's learning rate is fixed, the OEM would tend to switch from pure-outsourcing to partial outsourcing when the competition between these two parties is more fierce. We also conduct numerical studies to provide more managerial insights for practitioners who are looking for outsourcing strategy in consideration of CM's learning effect. The above two chapters address the OEM's outsourcing decision making problems which focused on the OEM-CM relationship from the upstream part of a decentralized chain. To draw a more complete picture about how different parties within a supply chain are working and coordinating with each other, we extend our viewpoints from the upstream towards the downstream part of the decentralized chain. In recent years, along with intensified competition and growing level of customer involvements, organization's operational decision is more interacted with their marketing strategy. Therefore, in the third chapter, we study the retailer's inventory decision and the supplier's contract design problem under the effect of the retailer's marketing strategy to sell through a group buying mechanism. Under group buying strategy, a retailer offers buyers price discount based on buyers' aggregate purchase quantity. We study the supply chain coordination issue with a supplier and a retailer that uses group mechanisms when selling to customers. It has been demonstrated that a buyback contract can coordinate the supply chain under group buying. We also investigate how its contract terms is affected by the quantity threshold above which group buying deal is activated.

Author: Karl G Kempf
Publisher: Springer Science & Business Media
ISBN: 1441981918
Category : Business & Economics
Languages : en
Pages : 592

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Book Description
In two volumes, Planning Production and Inventories in the Extended Enterprise: A State of the Art Handbook examines production planning across the extended enterprise against a backdrop of important gaps between theory and practice. The early chapters describe the multifaceted nature of production planning problems and reveal many of the core complexities. The middle chapters describe recent research on theoretical techniques to manage these complexities. Accounts of production planning system currently in use in various industries are included in the later chapters. Throughout the two volumes there are suggestions on promising directions for future work focused on closing the gaps. Included in Volume 1 are papers on the Historical Foundations of Manufacturing Planning and Control; Advanced Planning and Scheduling Systems; Sustainable Product Development and Manufacturing; Uncertainty and Production Planning; Demand Forecasting; Production Capacity; Data in Production and Supply Chain Planning; Financial Uncertainty in SC Models; Field Based Research in Production Control; Collaborative SCM; Sequencing and Coordination in Outsourcing and Subcontracting Operations; Inventory Management; Pricing, Variety and Inventory Decisions for Substitutable Items; Perishable and Aging Inventories; Optimization Models of Production Planning Problems; Aggregate Modeling of Manufacturing Systems; Robust Stability Analysis of Decentralized Supply Chains; Simulation in Production Planning; and Simulation-Optimization in Support of Tactical and Strategic Enterprise Decisions. Included in Volume 2 are papers on Workload and Lead-Time Considerations under Uncertainty; Production Planning and Scheduling; Production Planning Effects on Dynamic Behavior of A Simple Supply Chain; Supply and Demand in Assemble-to-Order Supply Chains; Quantitative Risk Assessment in Supply Chains; A Practical Multi-Echelon Inventory Model with Semiconductor Application; Supplier Managed Inventory for Custom Items with Long Lead Times; Decentralized Supply Chain Formation; A Cooperative Game Approach to Procurement Network Formation; Flexible SC Contracts with Options; Build-to-Order Meets Global Sourcing for the Auto Industry; Practical Modeling in Automotive Production; Discrete Event Simulation Models; Diagnosing and Tuning a Statistical Forecasting System; Enterprise-Wide SC Planning in Semiconductor and Package Operations; Production Planning in Plastics; SC Execution Using Predictive Control; Production Scheduling in The Pharmaceutical Industry; Computerized Scheduling for Continuous Casting in Steelmaking; and Multi-Model Production Planning and Scheduling in an Industrial Environment.

Author: Valérie Botta-Genoulaz
Publisher: John Wiley & Sons
ISBN: 1118616804
Category : Business & Economics
Languages : en
Pages : 297

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Book Description
This book examines the opportunities for, and the effects and benefits of, collaborative working practices and their impact on supply chain performance. The book is organized into three main parts; first part focuses on modeling the supply chain using conceptual frameworks to describe the relationship between collaboration and performance. The second part examines the issues around information systems alignment, and ensuring the management and coordination of interactions with suppliers and customers. The final part of the book focuses on the various different formalized approaches (including simulation, game theory, experimental economics, Petri nets and object-oriented design techniques) that may be taken to analyze the impact of any given collaboration process, coordination mechanism, or decision-making behavior on supply chain performance.

Author: Tsan-Ming Choi
Publisher: Springer
ISBN: 3319535188
Category : Business & Economics
Languages : en
Pages : 281

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Book Description
This book focuses on optimal control and systems engineering in the big data era. It examines the scientific innovations in optimization, control and resilience management that can be applied to further success. In both business operations and engineering applications, there are huge amounts of data that can overwhelm computing resources of large-scale systems. This “big data” provides new opportunities to improve decision making and addresses risk for individuals as well in organizations. While utilizing data smartly can enhance decision making, how to use and incorporate data into the decision making framework remains a challenging topic. Ultimately the chapters in this book present new models and frameworks to help overcome this obstacle. Optimization and Control for Systems in the Big-Data Era: Theory and Applications is divided into five parts. Part I offers reviews on optimization and control theories, and Part II examines the optimization and control applications. Part III provides novel insights and new findings in the area of financial optimization analysis. The chapters in Part IV deal with operations analysis, covering flow-shop operations and quick response systems. The book concludes with final remarks and a look to the future of big data related optimization and control problems.

Author: Yahya Pezeshki
Publisher:
ISBN:
Category :
Languages : en
Pages : 0

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Book Description
In decentralized Supply Chains, each member decides based on his own interests. Conflict of interests results in suboptimal decisions and poor performance for entire supply chains, as well seriously harms credibly information sharing across them. In this thesis, coordination of decisions in supply chains in the context of Capacity Procurement problem are studied in different situations in form of three models. In first model, a dyadic supply chain with stochastic demand and exogenous price is investigated by taking various costs into account. PARD and RCRS contracts are designed and proposed in order for coordination of decisions respectively in full and partial information updating situations. It is mathematically shown that coordination is achieved by using each contract in its corresponding situation. In second model, endogenous price is assumed. That is, demand is modeled as sum of a decreasing linear function of price and a stochastic parameter. The model is first examined in a dyadic structure, and RSRP contract is proposed for coordinating of price, production time and production rate decisions. It is proved that coordination is achieved by RSRP contract in the dyadic structure. The application of RSRP contract is then extended to be employed in a divergent supply chain with multiple retailers, and shown that the supply chain performs considerably better than the same supply chain with a wholesale contract. In third model, a divergent supply chain comprising a supplier and multiple retailers is studied where retailers face stochastic and price-dependent demand. Since main decision makers in supply chain interactions are human, paying attention to human decision making process and their biases from theoretical predictions are important in designing coordination mechanisms. One of the non-pecuniary factors which cause deviations in human-decisions is Trust. In this model, the retailers have more accurate demand forecast information due to their proximity to market. In order to secure availability of products during the selling season, the retailers have incentives to inflate their private forecast information. A coordination mechanism is proposed, which consists of an optimization model, a scoring system and a rewarding-punishing system, in order to coordinate the supply chain. Using simulation approach, performance of the mechanism is then compared to those of two other mechanisms, namely Without Trust an Asymmetric mechanism. According to the results, employing the mechanism in situations with any demand variability is advised. More accurately, in situations with high demand variability, the mechanism achieves a proper profit improvement and moderate capability for identifying deceptive agents, while in situations with low demand variability, the mechanism shows insignificant profit improvement and considerable ability in identifying deceptive agents.