Supply Chain Management Models: Forward, Reverse, Uncertain, and Intelligent Foundations with Case Studies - Hardcover

Fazlollahtabar, Hamed

Hardcover

ISBN 10: 1138570176 ISBN 13: 9781138570177

Publisher: CRC Press, 2017

Synopsis

Supply Chain Management (SCM) is a wide field in which several specialties are included. In general, operations and production management players use SCM to organize the problems and analyze the solution approaches. Due to these points, a reference which can encompass a range of problems and their modelling approaches is required. This book will contain three general sections of forward, reverse, intelligent, and uncertain problems. While the book provides different problems in the three commonly used categories in SCM, it is very helpful for the readers to find out, or adapt their own application studies to the ones given in the book and employ the corresponding modeliing approach.

About this title

About the Author

Hamed Fazlollahtabar had graduated in BSc and MSc of Industrial Engineering at Mazandaran University of Science and Technology, Babol, Iran at 2008 and 2010, respectively. He received his PhD of Industrial and Systems Engineering at Iran University of Science and Technology, Tehran, Iran at 2015. He has recently completed the postdoctoral research fellowship at Sharif University of Technology, Tehran, Iran, in the area of Reliability Engineering for Complex Systems. He is in the editorial board of several journals and technical committee of conferences. His research interests are supply chain planning, robot path planning, reliability engineering, and manufacturing systems. He has published over 200 research papers in international book chapters, journals, and conferences. Also, he published five books in which three of them are internationally distributed to the academicians.

Edition details

• Publisher: CRC Press
• Publication date: 2017
• Language: English
• ISBN 10: 1138570176
• ISBN 13: 9781138570177
• Binding: Hardcover
• Edition number: 1
• Number of pages: 400