Research handbook on inventory management

Material type: 図書

Author: edited by Jing-Sheng Jeannette Song, R. David Thomas Professor of Business Administration and Professor of Operations Management, The Fuqua School of Business, Duke University, USA

Publisher: Edward Elgar Publishing

Publication date: [2023]

Material Format: Paper

Capacity, size, etc.: 26 cm

NDC: -

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Note (General)：: Includes bibliographical references and indexSummary:"This comprehensive Handbook provides an overview of state-of-the-art research on quantitative mo...

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Paper

Material Type: 図書
ISBN: 9781800377097
Title: Research handbook on inventory management
Author/Editor: edited by Jing-Sheng Jeannette Song, R. David Thomas Professor of Business Administration and Professor of Operations Management, The Fuqua School of Business, Duke University, USA
Author Heading: Song, Jing-Sheng
Publication, Distribution, etc.: Edward Elgar Publishing
Publication Date: [2023]
Publication Date (W3CDTF): 2023
Size: 26 cm
Place of Publication (Country Code): uk
Text Language Code: en
Subject Heading: Inventory control
LCC: TS160
Target Audience: 一般
Note (General): Includes bibliographical references and index
Summary:"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. 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 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 i
Related Material (URI): https://ci.nii.ac.jp/ncid/BD04469578#entity
https://lccn.loc.gov/2023939803
Data Provider (Database): 国立情報学研究所 : CiNii Research
Original Data Provider (Database): CiNii Books
https://ci.nii.ac.jp/books
NCID: https://ci.nii.ac.jp/ncid/BD04469578 : BD04469578
LC Control Number: 2023939803
https://lccn.loc.gov/2023939803