Issues in Supply Chain Scheduling and Contracting [electronic resource] /
Ullrich, Christian Alexander.author.
Christian A. Ullrich investigates the optimization potential of integrated supply chain scheduling approaches. Considering a company-internal supply chain, the author´s first research question is whether the results of integrating machine scheduling and vehicle routing are significantly better than those of classic decomposition approaches which break down the overall problem and solve the subproblems successively. The scope is then broadened to include the machine and transportation scheduling problems of two and more companies at consecutive supply chain stages. The last part of this dissertation addresses supply chain contracting issues. Contents Integrated machine scheduling and vehicle routing Multiple-stage transportation and production scheduling R&D investment sharing contracts Target Groups Researchers and students in the field of supply chain management, operations research, scheduling, contracting, operations management Practitioners involved in SCM, logistics, operations management, software engineering The Author Dr. Christian A. Ullrich obtained his doctorate degree at Bielefeld University (chair of business administration, management accounting & operations management), Germany.
Description based upon print version of record.
""Foreword""; ""Preface""; ""Contents""; ""List of Figures""; ""List of Tables""; ""List of Abbreviations""; ""List of Symbols""; ""Chapter 1 Outline""; ""Chapter 2 Introduction to Supply Chain Management""; ""2.1 Historical background and general motivation""; ""2.2 Basic definitions""; ""2.2.1 The inter-organizational perspective""; ""2.2.2 The intra-organizational perspective""; ""Chapter 3 Supply Chain Scheduling: Integrated machine scheduling and vehicle routing""; ""3.1 Motivation""; ""3.2 Literature survey""; ""3.3 Mixed integer linear programs""; ""3.3.1 Parallel machine scheduling""
""3.3.2 Vehicle routing with time windows""""3.3.3 Integrated machine scheduling and vehicle routing""; ""3.4 Generation of test instances""; ""3.5 Heuristics""; ""3.5.1 Decomposition approaches""; ""3.5.2 Genetic algorithm approach""; ""3.6 Computational results""; ""3.6.1 Small-size instances""; ""3.6.2 Large-size instances""; ""3.7 Summary and outlook""; ""Chapter 4 Supply Chain Scheduling: Cost-cutting potential""; ""4.1 Motivation""; ""4.2 Literature survey""; ""4.3 Mixed integer linear programs""; ""4.3.1 Integrated machine and delivery scheduling""; ""4.3.2 Supply Chain Scheduling""
""4.4 Design of the numerical study""""4.4.1 The separate scheduling scenario""; ""4.4.2 The Supply Chain Scheduling scenario""; ""4.5 Generation of test instances""; ""4.6 Applying Excel to scheduling problems""; ""4.6.1 Minimizing total tardiness on parallel machines""; ""4.6.2 Integrated machine and delivery scheduling""; ""4.6.3 Supply Chain Scheduling""; ""4.7 Computational results""; ""4.7.1 Small-size instances""; ""4.7.2 Large-size instances""; ""4.8 Summary and outlook""; ""4.9 Appendix. Cost sharing mechanism""; ""Chapter 5 Supply Chain Scheduling: Makespan reduction potential""
""5.1 Motivation and literature survey""""5.2 Mixed integer linear program""; ""5.3 Design of the numerical studies""; ""5.3.1 Four-stage supply chain environment""; ""5.3.2 Two-stage supply chain environment""; ""5.4 Computational results""; ""5.4.1 Small-size instances""; ""5.4.2 Large-size instances""; ""5.5 Summary and Outlook""; ""Chapter 6 Supply Chain Contracting: R&D Investment sharing contracts""; ""6.1 Motivation""; ""6.2 Literature survey""; ""6.3 Basic model""; ""6.3.1 In-house production scenario""; ""6.3.2 External procurement scenario""
""6.3.3 Central control benchmark scenario""""6.4 R&D investment sharing contracts""; ""6.4.1 In-house production threat point""; ""6.4.2 External procurement threat point""; ""6.4.3 External procurement or discontinuing threat point""; ""6.5 Numerical robustness evaluation""; ""6.6 Summary and outlook""; ""6.7 Appendix""; ""6.7.1 Proofs""; ""6.7.2 Common contract types""; ""Chapter 7 Concluding remarks""; ""Bibliography""
Includes bibliographical references.
Christian A. Ullrich investigates the optimization potential of integrated supply chain scheduling approaches. Considering a company-internal supply chain, the author´s first research question is whether the results of integrating machine scheduling and vehicle routing are significantly better than those of classic decomposition approaches which break down the overall problem and solve the subproblems successively. The scope is then broadened to include the machine and transportation scheduling problems of two and more companies at consecutive supply chain stages. The last part of this dissertation addresses supply chain contracting issues. Contents Integrated machine scheduling and vehicle routing Multiple-stage transportation and production scheduling R&D investment sharing contracts Target Groups Researchers and students in the field of supply chain management, operations research, scheduling, contracting, operations management Practitioners involved in SCM, logistics, operations management, software engineering The Author Dr. Christian A. Ullrich obtained his doctorate degree at Bielefeld University (chair of business administration, management accounting & operations management), Germany.
Business logistics.
Production management.
Supply Chain Management.
Operations Management.