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作者 Shenoy, Dinesh, author
書名 Problems & solutions in inventory management / by Dinesh Shenoy, Roberto Rosas
出版項 Cham : Springer International Publishing : Imprint: Springer, 2018
國際標準書號 9783319656960 (electronic bk.)
9783319656953 (paper)
國際標準號碼 10.1007/978-3-319-65696-0 doi
book jacket
說明 1 online resource (xiii, 283 pages) : illustrations (some color), digital ; 24 cm
text txt rdacontent
computer c rdamedia
online resource cr rdacarrier
text file PDF rda
附註 Part - I : Basics of Inventory Management -- Chapter 1. Introduction to Inventory Management -- Chapter 2. Inventory Control Systems - Design Factors -- Part - II: Single-Item Inventory Models -- Chapter 3. Deterministic Inventory Models -- Chapter 4. Dynamic Inventory Control Models -- Chapter 5. Lot-sizing Heuristics -- Chapter 6. Stochastic Inventory Models -- Part - III: Multi-item Inventory Models -- Chapter 7. Multi-item Inventory Models Subject to Constraints -- Chapter 8. Selective Inventory Control Models -- Part - IV: Advanced Inventory Models -- Chapter 9. Inventory Models for Perishable Items and Style Goods -- Chapter 10- Inventory Models for Maintenance and Repairable Items -- Chapter 11. Multiechelon Inventory Models
This book presents a compilation of over 200 numerical problems and solutions that students can use to learn, practice and master the Inventory Control and Management concepts. Intended as a companion to any of the standard textbooks in Inventory Control and Management and written in simple language, it illustrates very clearly the steps students need to follow in order to solve a given problem. It also explains which solution methodologies can be used under which circumstances. Offering an ideal one-stop resource for mid-level engineering and business students who have taken Inventory Management or a related subject as an elective, this book is the only one students will ever need to prepare and gain confidence for their examinations in this subject
Host Item Springer eBooks
主題 Inventory control
Engineering
Engineering Economics, Organization, Logistics, Marketing
Operations Management
Mathematical Modeling and Industrial Mathematics
Operating Procedures, Materials Treatment
Operations Research, Management Science
Alt Author Rosas, Roberto, author
SpringerLink (Online service)
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