Supply Chain Engineering: Models and Applications / Edition 1

by A. Ravi Ravindran, Donald Warsing, Jr.

Overview

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, 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.

Product Details

ISBN-13:	9781439811986
Publisher:	Taylor & Francis
Publication date:	09/27/2012
Series:	Operations Research Series
Edition description:	New Edition
Pages:	546
Product dimensions:	6.20(w) x 9.30(h) x 0.50(d)

About the Author

A. Ravi Ravindran has been a professor and former department head of industrial and manufacturing engineering at the Pennsylvania State University (1997-2017). He is an Emeritus Professor now. Formerly, he was a faculty member in the school of industrial engineering at Purdue University (1969-1982) and at the University of Oklahoma (1982-1997). At Oklahoma, he served as the Director of the school of industrial engineering for 8 years and as the Associate Provost for the university for 7 years. He received his B.S. in electrical engineering with honors from BITS, Pilani, India, and his M.S. and Ph.D. in industrial engineering and operations research from the University of California, Berkeley. His research interests are in multiple criteria decision-making, financial engineering, healthcare delivery systems, and supply chain optimization. Dr. Ravindran has published 8 books (Operations Research, Engineering Optimization, Operations Research and Management Science Handbook, Operations Research Methodologies, Operations Research Applications, Supply Chain Engineering, Multiple Criteria Decision Making in Supply Chain Management and Big Data Analytics using Multiple Criteria Decision-Making Models) and over 150 journal articles in operations research. His recent book on Supply Chain Engineering received the Institute of Industrial Engineers (IIE) Book-of-the-Year Award in 2013. He is a Fellow of IIE and a Fulbright Fellow. In 2001, he was recognized by IIE with the Albert G. Holzman Distinguished Educator Award for significant contributions to the industrial engineering profession by an educator. In 2013, he received the Outstanding Teaching Award in the college of engineering from the Penn State Engineering Alumni Society. He also received the Excellence in Teaching Award from the Logistics & Supply Chain division of IIE in 2017. He has been a consultant to AT&T, CNH America, General Motors, IBM, Kimberly Clark, General Electric, U.S. Department of Transportation, the Cellular Telecommunications Industry Association and the U.S. Air Force. He currently serves as the Operations Research series editor and the Emerging Operations Research Methodologies and Applications series editor for CRC Press/Taylor & Francis Group.

Don Warsing is an Associate Professor of Operations and Supply Chain Management at the Poole College of Management at North Carolina State University. Prior to joining NC State, he served on the faculty of the Smeal College of Business at Pennsylvania State University and also worked for IBM Corporation in roles spanning from industrial engineering to manufacturing management. Dr. Warsing's research concerns the development of tools and policies for effectively managing inventory, logistics, and business operations, and studying the ways in which various management practices contribute to improved performance outcomes. Throughout his academic career, Dr. Warsing has taught courses that cover a broad array of topics in operations and supply chain management, including process analysis, operations planning, and logistics.

Paul M. Griffin is a professor in the Department of Industrial and Manufacturing Engineering at Penn State University. His research and teaching interests are in health systems engineering, health analytics, and supply chain management. Prior to Penn State, Paul was St. Vincent Health Chair and Director of the Regenstrief Center for Healthcare Engineering at Purdue University. He was also the Joseph C. Mello Chair and professor in the School of Industrial and Systems Engineering at Georgia Tech. While at Georgia Tech, Dr. Griffin was an instructor for the Executive Master's in International Logistics (EMIL) and taught several short courses for the Supply Chain Logistics Institute. Dr. Griffin is a fellow of the American Institute for Medical and Biological Engineering and the Institute for Industrial and Systems Engineers.

Table of Contents

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

What People are Saying About This

From the Publisher

Everyone admires the supply chain efficiency that makes glitzy products like apple iPhone and iPad available everywhere or the availability of coca cola drink even in many remote tourist spots. But not many understand the “secret sauce”. This book unravels the mystery of the mathematics behind supply chain without intimidating the readers. Readers’ interest is maintained through contemporary examples and issues without sacrificing the rigor. A much-needed balanced book that has deftly managed the twin objectives of rigor and readability, breadth and depth and theory and practice admirably well.
—Prof S. Sadagopan, IIIT Bangalore, India

… a very comprehensive first-year graduate level textbook covering all aspects of global supply chain management, incorporating optimization and MCDM (multi-criteria decision making) into the process of supply chain design, decision making, and operation.
—Katta G. Murty, University of Michigan, Ann Arbor, USA

Editorial Reviews

"Everyone admires the supply chain efficiency that makes glitzy products like Apple iPhone and iPad available everywhere or the availability of Coca-Cola drink even in many remote tourist spots. But not many understand the 'secret sauce.' This book unravels the mystery of the mathematics behind supply chain without intimidating the readers. Readers’ interest is maintained through contemporary examples and issues without sacrificing the rigor. A much-needed balanced book that has deftly managed the twin objectives of rigor and readability, breadth and depth and theory and practice admirably well."
—Prof S. Sadagopan, IIIT Bangalore, India

"… a very comprehensive first-year graduate level textbook covering all aspects of global supply chain management, incorporating optimization and MCDM (multi-criteria decision making) into the process of supply chain design, decision making, and operation."
—Katta G. Murty, University of Michigan, Ann Arbor, USA

"This volume is included in curricula for industrial engineering and supply chain as well as MBA students, however it makes a good bridge for readers looking to move from simple lean or Japanese production methods based on kanban and cells, into deeper, more responsive globally integrated networks. … Exercises complete the book’s rigorous approach to proving the concepts. Risk pooling, a key logistics method, is covered thoroughly with questions that plumb the reader’s general and detailed comprehension."
—Blue Heron Journal

From the Publisher