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Research Handbook on Inventory Management
This comprehensive Handbook provides an overview of state-of-the-art research on quantitative models for inventory management. Despite over half a century’s progress, inventory management remains a challenge, as evidenced by the recent Covid-19 pandemic. With an expanse of world-renowned inventory scholars from major international research universities, this Handbook explores key areas including mathematical modelling, the interplay of inventory decisions and other business decisions and the unique challenges posed to multiple industries.
More Information
Critical Acclaim
Contributors
Contents
More Information
This comprehensive Research Handbook provides an overview of state-of-the-art research on quantitative models for inventory management. Despite over half a century’s progress, inventory management remains a challenge, as evidenced by the recent Covid-19 pandemic. With an expanse of world-renowned inventory scholars from major international research universities, this Research Handbook explores key areas including mathematical modelling, the interplay of inventory decisions and other business decisions and the unique challenges posed to multiple industries.
Organized into three distinct sections, chapters summarize the key developments in quantitative inventory research over the past two decades. Mapping out the fundamental theories and methodologies of inventory management, the Research Handbook examines interfaces and explores interdisciplinary topics in response to technological advancement and globalization. It concludes with an analysis of context-specific models, discussing tailored modelling and analytical solutions of inventory systems in the fast-changing industries of healthcare, spare parts logistics, retailing, and online retailing.
An important reference tool, this Research Handbook will be essential to scholars and researchers invested in the fields of business and operations and supply chain management. Its insightful coverage of the practicalities of current research will be indispensable for practitioners and regulators within these fields.
Organized into three distinct sections, chapters summarize the key developments in quantitative inventory research over the past two decades. Mapping out the fundamental theories and methodologies of inventory management, the Research Handbook examines interfaces and explores interdisciplinary topics in response to technological advancement and globalization. It concludes with an analysis of context-specific models, discussing tailored modelling and analytical solutions of inventory systems in the fast-changing industries of healthcare, spare parts logistics, retailing, and online retailing.
An important reference tool, this Research Handbook will be essential to scholars and researchers invested in the fields of business and operations and supply chain management. Its insightful coverage of the practicalities of current research will be indispensable for practitioners and regulators within these fields.
Critical Acclaim
‘This Research Handbook is a fabulous and timely addition to the literature on inventory theory. Jeannette Song has curated a comprehensive set of chapters that cover the theoretical developments for all relevant inventory models, from the origins of inventory theory up to today. The Research Handbook should be an invaluable resource for the research community, especially for the doctoral students who will write the next chapters.’
– Stephen Graves, Massachusetts Institute of Technology, US
‘This Research Handbook is a most comprehensive treatment of inventory management. It has great breadth, showing the multiple dimensions in which inventory models have developed and advanced in different areas. It also has depth, as it provides the theoretical foundations, leading to the most current advances by leading researchers. I highly recommend this book.’
– Hau Lee, Stanford University, US
‘This book provides a clear, comprehensive, up-to-date guide to the research literature on inventory management. The authors are all distinguished scholars and all very active in this dynamic field. Many of the chapters offer pointers to promising research directions as well as summaries of past achievements. The book should be of great value to practicing scholars and students.’
– Paul Zipkin, Duke University, US
– Stephen Graves, Massachusetts Institute of Technology, US
‘This Research Handbook is a most comprehensive treatment of inventory management. It has great breadth, showing the multiple dimensions in which inventory models have developed and advanced in different areas. It also has depth, as it provides the theoretical foundations, leading to the most current advances by leading researchers. I highly recommend this book.’
– Hau Lee, Stanford University, US
‘This book provides a clear, comprehensive, up-to-date guide to the research literature on inventory management. The authors are all distinguished scholars and all very active in this dynamic field. Many of the chapters offer pointers to promising research directions as well as summaries of past achievements. The book should be of great value to practicing scholars and students.’
– Paul Zipkin, Duke University, US
Contributors
Contributors: Alexandar Angelus,Turgay Ayer, Rob Basten, Marco Bijvank, Xiuli Chao, Boxiao Chen, Xin Chen, Wang Chi Cheung, Andrew Davis, Levi DeValve, Xin Geng, Xiting Gong, Peng Hu, Zhenyu Hu, Woonghee Tim Huh, Ganesh Janakiraman, Bharadwaj Kadiyala, Roman Kapuscinski, Hau L. Lee, Qing Li, Stefan Minner, Alp Muharremoglu, Özalp Özer, Rodney P. Parker, Anna-Lena Sachs, Kevin H. Shang, Zuo-Jun (Max) Shen, Cong Shi, David Simchi-Levi, Jing-Sheng (Jeannette) Song, Jordan Tong, Geert-Jan van Houtum, Jan Albert Van Mieghem, Michael R. Wagner, Mengxin Wang, Yehua Wei, Chelsea C. White, Linwei Xin, Nan Yang, Peiwen Yu, Can Zhang, Huanan Zhang, Sean X. Zhou
Contents
Contents:
Preface
Part I: Fundamentals -- Theory and Methodologies
1. Lost-sales inventory systems: Marco Bijvank, Woonghee Tim Huh, Ganesh Janakiraman
2. Perishable inventory systems: Qing Li, Peiwen Yu
3. Capacitated inventory systems: Roman Kapuściński, Rodney P. Parker
4. Generalizations of the Clark-Scarf model and analysis: Alexandar Angelus
5. Single-stage approximations of multiechelon inventory models: Kevin H. Shang, Jing-Sheng
Song, Sean X. Zhou
6. Single unit analysis: Alp Muharremoglu, Xin Geng, Nan Yang
7. Robust inventory management: Michael R. Wagner
8. Dual-sourcing, dual-mode dynamic stochastic inventory models: Linwei Xin, Jan A. Van Mieghem
9. Assemble-to-order systems: Levi DeValve, Jing-Sheng Song, Yehua Wei
10. Inventory models with returns and remanufacturing: Xiting Gong, Sean X. Zhou
11. Approximation algorithms for stochastic inventory systems: Cong Shi
Part II: Interfaces
12. Information and Incentives in Inventory Management: Bharadwaj Kadiyala, Hau Lee, Özalp Özer
13. Joint pricing and inventory decisions: Xin Chen, Peng Hu, Zhenyu Hu
14. Statistical learning in inventory management: Wang Chi Cheung , David Simchi-Levi
15. Online learning in inventory and pricing optimization: Xiuli Chao, Boxiao Chen, Huanan Zhang
16. Inventory models with financing flows: Kevin H. Shang, Jing-Sheng Song
17. Behavioral inventory management: Andrew M. Davis, Jordan D. Tong
Part III: Context Specific Models and Methods
18. Healthcare inventory management: Turgay Ayer, Chelsea C. White III, Can Zhang
19. Spare parts inventory planning: Rob Basten, Geert-Jan van Houtum
20. Retail inventory systems: Stefan Minner, Anna-Lena Sachs
21. Online retailing inventory management: Mengxin Wang, Z. Max Shen
Index
Preface
Part I: Fundamentals -- Theory and Methodologies
1. Lost-sales inventory systems: Marco Bijvank, Woonghee Tim Huh, Ganesh Janakiraman
2. Perishable inventory systems: Qing Li, Peiwen Yu
3. Capacitated inventory systems: Roman Kapuściński, Rodney P. Parker
4. Generalizations of the Clark-Scarf model and analysis: Alexandar Angelus
5. Single-stage approximations of multiechelon inventory models: Kevin H. Shang, Jing-Sheng
Song, Sean X. Zhou
6. Single unit analysis: Alp Muharremoglu, Xin Geng, Nan Yang
7. Robust inventory management: Michael R. Wagner
8. Dual-sourcing, dual-mode dynamic stochastic inventory models: Linwei Xin, Jan A. Van Mieghem
9. Assemble-to-order systems: Levi DeValve, Jing-Sheng Song, Yehua Wei
10. Inventory models with returns and remanufacturing: Xiting Gong, Sean X. Zhou
11. Approximation algorithms for stochastic inventory systems: Cong Shi
Part II: Interfaces
12. Information and Incentives in Inventory Management: Bharadwaj Kadiyala, Hau Lee, Özalp Özer
13. Joint pricing and inventory decisions: Xin Chen, Peng Hu, Zhenyu Hu
14. Statistical learning in inventory management: Wang Chi Cheung , David Simchi-Levi
15. Online learning in inventory and pricing optimization: Xiuli Chao, Boxiao Chen, Huanan Zhang
16. Inventory models with financing flows: Kevin H. Shang, Jing-Sheng Song
17. Behavioral inventory management: Andrew M. Davis, Jordan D. Tong
Part III: Context Specific Models and Methods
18. Healthcare inventory management: Turgay Ayer, Chelsea C. White III, Can Zhang
19. Spare parts inventory planning: Rob Basten, Geert-Jan van Houtum
20. Retail inventory systems: Stefan Minner, Anna-Lena Sachs
21. Online retailing inventory management: Mengxin Wang, Z. Max Shen
Index
