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

Fazlollahtabar, Hamed

 
9781138570177: Supply Chain Management Models: Forward, Reverse, Uncertain, and Intelligent Foundations with Case Studies

Inhaltsangabe

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.

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Über die Autorin bzw. den Autor

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.

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Weitere beliebte Ausgaben desselben Titels

9780367892463: Supply Chain Management Models: Forward, Reverse, Uncertain, and Intelligent Foundations With Case Studies

Vorgestellte Ausgabe

ISBN 10:  0367892464 ISBN 13:  9780367892463
Verlag: Routledge, 2019
Softcover