Supplier Selection (eBook, PDF) - Mukherjee, Krishnendu
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The purpose of this book is to present a comprehensive review of the latest research and development trends at the international level for modeling and optimization of the supplier selection process for different industrial sectors. It is targeted to serve two audiences: the MBA and PhD student interested in procurement, and the practitioner who wishes to gain a deeper understanding of procurement analysis with multi-criteria based decision tools to avoid upstream risks to get better supply chain visibility. The book is expected to serve as a ready reference for supplier selection criteria and…mehr

Produktbeschreibung
The purpose of this book is to present a comprehensive review of the latest research and development trends at the international level for modeling and optimization of the supplier selection process for different industrial sectors. It is targeted to serve two audiences: the MBA and PhD student interested in procurement, and the practitioner who wishes to gain a deeper understanding of procurement analysis with multi-criteria based decision tools to avoid upstream risks to get better supply chain visibility. The book is expected to serve as a ready reference for supplier selection criteria and various multi-criteria based supplier's evaluation methods for forward, reverse and mass customized supply chain. This book encompasses several criteria, methods for supplier selection in a systematic way based on extensive literature review from 1998 to 2012. It provides several case studies and some useful links which can serve as a starting point for interested researchers. In the appendix several computer code written in MatLab and VB.NET is also included for the interested reader. Lucid explosion of various techniques used to select and evaluate suppliers is one of the unique characteristic of this book. Moreover, this book gives in depth analysis of selection and evaluation of suppliers for traditional supply chain, closed loop supply chain, supply chain for customized product, green supply chain, sustainable supply chain and also depicts methods for supply base reduction and selection of large number of suppliers.


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  • Produktdetails
  • Verlag: Springer-Verlag GmbH
  • Seitenzahl: 128
  • Erscheinungstermin: 5. April 2017
  • Englisch
  • ISBN-13: 9788132237006
  • Artikelnr.: 53034904
Autorenporträt
Krishnendu Mukherjee is an operations research scientist with the Operations Research Machine Learning & Analytics Experts (ORMAE), where he has been dealing with several projects for multi-national companies in India and abroad. He did his Bachelor of Engineering in Mechanical from Jadavpur University and Master of Engineering from BITS Pilani. He also worked as invited reviewer of IJPE, EJOR, JORS, IJAHP etc. In 2004, he got opportunity to design and develop innovative carpet backing machine at IICT, Bhadohi, as one of the core team member. In 2014, he received US copy right for developing computer code to facilitate selection and evaluation of n-number of suppliers in fuzzy environment. In 2015, he introduced new concept of postponement strategy to prevent upstream supply chain risk. He has published 15 papers in international journals/conferences. His areas of research include multi-criteria decision analysis, fuzzy set theory, mixed integer programming, linear programming, constrained programming, non-linear programming, optimization, supply chain management, sustainability, procurement analysis, vehicle routing, airlines scheduling, tankers scheduling etc. He has also completed his PhD work including the preparation of final draft of PhD thesis at Jadavpur University. This book encompasses extended work of his PhD thesis. He previously worked with National Institute of Technology Silchar (former REC); Ministry of Manpower, Oman; Indian Institute of Carpet Technology, Ministry of Textile, Govt. of India; Heritage Institute of Technology, Kolkata; MAHE, Dubai etc.

Inhaltsangabe
Chapter 1. Overview.- Chapter 2. Modeling and Optimization of Traditional Supplier Selection.- Chapter 3. Mass Customization.- Chapter 4. Modeling and Optimization of Strategic Sustainable Sourcing.- Chapter 5. A Note on Limitation of FAHP.- Appendix. A MCDA Tools and Meta-Heuristic Techniques: Sample Codes.