在庫管理：研究ハンドブック Research Handbook on Inventory Management (Research Handbooks in Business and Management series)

Song, Jing-Sheng J. (EDT)

Edward Elgar Publishing Ltd（2023/08発売）

• 製本 Hardcover:ハードカバー版／ページ数 564 p.
• 言語 ENG
• 商品コード 9781800377097
• DDC分類 658.787

Full Description

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 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.

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