Overview
- Presents realistic and thought-provoking numerical problems that will motivate mid-level undergraduate students to pursue further studies and research in Inventory Management
- Provides solutions to more than 200 numerical problems that students can use to grasp and learn inventory management
- Presents 10 case studies in traditional and modern/current inventory management techniques
- Summarizes inventory management in a form that graduating students can apply to their workplace
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Table of contents (11 chapters)
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Basics of Inventory Management
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Single-Item Inventory Models
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Multi-item Inventory Models
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Advanced Inventory Models
Keywords
- Numerical problems and solutions in Inventory Control
- Inventory Control Practice Problems and solutions
- Inventory control textbook
- Solutions to Operations Management problems
- EOQ models and solutions
- Quantity Discounts models
- Production Planning Models
- Dependent Demand problems
- Engineering Economics
About this book
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.Reviews
Authors and Affiliations
About the authors
Prof. Dr. Dinesh Shenoy is a Professor of Industrial Engineering at Tecnológico de Monterrey (ITESM), Mexico. He teaches Inventory Management and allied courses in Operations Management to senior undergraduate students. He is best known for his contributions to the field of Spare Parts Management and is the author of Maintenance Resources Management: Adapting MRP (Taylor & Francis, 1998). Dinesh received his doctoral degree from Indian Institute of Technology, Kharagpur, India, in 1995. Between 1995 and 2009, Dinesh worked with large multinational organizations such as ANZ Bank (Melbourne), Thomson Financial in Bangalore and Barclays Capital (Singapore) and relieved in leadership roles in Operations and Technology. He was also a visiting faculty member at Narsee Monjee University between 2010 and 2016.
Prof. Dr. Roberto Rosas is the Head of Engineering and Sciences Department at Tecnológico de Monterrey (ITESM), León, Mexico. He teaches Production Managementand allied courses in Operations Management and Manufacturing to undergraduate students. His relevant experience is in the field of Design of Manufacturing Systems, Simulation of Manufacturing Systems, Theory of Constraints, Enterprise Resource Planning, Lean Manufacturing, Six Sigma and Operations Management. Prof. Rosas received his master’s degree from Tecnológico de Monterrey, Monterrey, Mexico, in 2003. Between 2001 and 2007, Rosas worked in industries such as Leather and Footwear, Engineering Services. During the last seven years, he has worked in education and has developed several projects as Consultant in industry related to his expertise.
Bibliographic Information
Book Title: Problems & Solutions in Inventory Management
Authors: Dinesh Shenoy, Roberto Rosas
DOI: https://doi.org/10.1007/978-3-319-65696-0
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer International Publishing AG 2018
Hardcover ISBN: 978-3-319-65695-3Published: 13 October 2017
Softcover ISBN: 978-3-319-88082-2Published: 31 August 2018
eBook ISBN: 978-3-319-65696-0Published: 05 October 2017
Edition Number: 1
Number of Pages: XIII, 283
Number of Illustrations: 43 b/w illustrations, 6 illustrations in colour
Topics: Engineering Economics, Organization, Logistics, Marketing, Operations Management, Mathematical Modeling and Industrial Mathematics, Manufacturing, Machines, Tools, Processes, Operations Research, Management Science