Emphasizing a quantitative approach, Supply Chain Engineering: Models and Applications provides state-of-the-art mathematical models, concepts, and solution methods important in the design, control, operation, and management of global supply chains. The text provides an understanding of how companies plan, source, make, and deliver their products to create and/or maintain a global competitive advantage. It emphasizes application of operations research models and methods to optimize the various components of an integrated supply chain. The authors have carefully constructed the book so that it is not so "micro" in its focus that the perspective on the larger business problem is lost, nor is it so "macro" in its treatment of that business context that it fails to develop students appreciation for, and skills to solve, the tactical problems that must be addressed in effectively managing flows of goods in supply chains. Building students knowledge of the first principles of supply chain engineering, the book covers the traditional issues in operations, logistics, and supply chain management-forecasting demand, managing inventories, managing transportation, and locating facilities.
It also includes a number of new optimization tools such as risk pooling, for addressing these problems, based on recent research. In addition, the authors treatment of managing customer-supplier relations supplies a fresh perspective that draws on recent research using multiple criteria optimization methods. Moreover, the chapter on managing risks in supply chains presents important problems that extend beyond the traditional treatment of supply chain management. Building a bridge between theory and practice, the authors pull all of these themes together in the culminating chapter that solidifies students understanding of managing global supply chains.
Introduction to Supply Chain Engineering Understanding Supply Chains Flows in Supply Chains Meaning of Supply Chain Engineering Supply Chain Decisions Enablers and Drivers of Supply Chain Performance Assessing and Managing Supply Chain Performance Relationship between Supply Chain and Financial Metrics Importance of Supply Chain Management Organization of the Textbook Summary and Further Readings Exercises References Planning Production in Supply Chains Role of Demand Forecasting in Supply Chain Management Forecasting Process Qualitative Forecasting Methods Quantitative Forecasting Methods Incorporating Seasonality in Forecasting Incorporating Trend in Forecasting Incorporating Seasonality and Trend in Forecasting Forecasting for Multiple Periods Forecasting Errors Monitoring Forecast Accuracy Forecasting Software Forecasting in Practice Production Planning Process Aggregate Planning Problem Linear Programming Model for Aggregate Planning Nonlinear Programming Model for Aggregate Planning Aggregate Planning as a Transportation Problem Aggregate Planning Strategies: A Comparison Summary and Further Readings Replenishment (CPFR) Exercises References Inventory Management Methods and Models Decision Framework for Inventory Management Some Preliminary Modeling Issues Single-Item, Single-Period Problem: The Newsvendor Single-Item, Multi-Period Problems Multi-Item Inventory Models Multi-Echelon Inventory Systems Conclusions Further Readings A Appendix: The Bullwhip Effect References Exercises References Transportation Decisions in Supply Chain Management Introduction Motor Carrier Freight: Truckload Mode Accounting for Goods in transit Stepping Back: Freight Transportation Overview More General Models of Freight Rates Building A Rate Model: LTL Service A More General Rate Model for LTL Service Beyond Truck Transport: Rail and Air Cargo Conclusion Further Readings Exercises References Location and Distribution Decisions in Supply Chains Modeling with Binary Variables Supply Chain Network Optimization Risk Pooling or Inventory Consolidation Continuous Location Models Real-World Applications Summary and Further Readings Exercises References Supplier Selection Models and Methods Supplier Selection Problem Supplier Selection Methods Multi-Criteria Ranking Methods for Supplier Selection Multi-Objective Supplier Allocation Model Summary and Further Readings Exercises References Managing Risks in Supply Chain Supply Chain Risk Real World Risk Events and Their Impacts Sources of Supply Chain Risks Risk Identification Risk Assessment Risk Management Best Industry Practices in Risk Management Risk Quantification Models Value-at-Risk (VaR) Models Miss-the-Target (MtT) Risk Models Risk Measures Combining VaR and MtT Type Risks Risk Detectability and Risk Recovery Multiple Criteria Optimization Models for Supplier Selection Incorporating Risk Summary and Further Readings Exercises Acknowledgments References Global Supply Chain Management History of Globalization Impacts of Globalization Global Sourcing International Logistics Designing a Resilient Global Supply Chain: A Case Study Summary and Further Readings Exercises Questions References Appendix A: Multiple Criteria Decision Making: An Overview Index