Overview
- First handbook devoted to EOQ Problems
- Will be the standard reference in the field
- Covers both deterministic and stochastic models?
Part of the book series: International Series in Operations Research & Management Science (ISOR, volume 197)
Access this book
Tax calculation will be finalised at checkout
Other ways to access
Table of contents (12 chapters)
-
Front Matter
-
Introduction and Review
-
Front Matter
-
-
Single-Echelon Problems
-
Front Matter
-
-
Multi-Echelon Problems
-
Front Matter
-
-
Back Matter
Keywords
About this book
The Economic Order Quantity (EOQ) inventory model first appeared in 1913, and in its centennial, it is still one of the most important inventory models. Despite the abundance of both classical and new research results, there was (until now) no comprehensive reference source that provides the state-of-the-art findings on both theoretical and applied research on the EOQ and its related models. This edited handbook puts together all these interesting works and the respective insights into an edited volume.
The handbook contains papers which explore both the deterministic and the stochastic EOQ-model based problems and applications. It is organized into three parts: Part I presents three papers that provide an introduction and review of various EOQ related models. Part II includes four technical analyses on single-echelon EOQ-model based inventory problems. Part III consists of five papers on applications of the EOQ model for multi-echelon supply chain inventory analysis.
Editors and Affiliations
Bibliographic Information
Book Title: Handbook of EOQ Inventory Problems
Book Subtitle: Stochastic and Deterministic Models and Applications
Editors: Tsan-Ming Choi
Series Title: International Series in Operations Research & Management Science
DOI: https://doi.org/10.1007/978-1-4614-7639-9
Publisher: Springer New York, NY
eBook Packages: Business and Economics, Business and Management (R0)
Copyright Information: Springer Science+Business Media New York 2014
Hardcover ISBN: 978-1-4614-7638-2Published: 17 August 2013
Softcover ISBN: 978-1-4899-9354-0Published: 22 August 2015
eBook ISBN: 978-1-4614-7639-9Published: 17 August 2013
Series ISSN: 0884-8289
Series E-ISSN: 2214-7934
Edition Number: 1
Number of Pages: X, 281
Topics: Operations Research/Decision Theory, Operations Research, Management Science