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Prioritising indicators in improving supply chain performance using fuzzy AHP: insights from the case example of four Indian manufacturing companies

  • Published:2017-05-16 Issue:6-8 Volume:28 Page:552-573
  • ISSN:0953-7287
  • Container-title:Production Planning & Control
  • language:en
  • Short-container-title:Production Planning & Control

Author:

Govindan Kannan1,Mangla Sachin Kumar2,Luthra Sunil3

Affiliation:

1. Department of Technology and Innovation, Center for Sustainable Engineering Operations Management, University of Southern Denmark, Odense, Denmark

2. Department of Mechanical Engineering, Graphic Era University, Dehradun, India

3. Department of Mechanical Engineering, Government Engineering College, Nilokheri, India

Publisher

Informa UK Limited

Subject

Industrial and Manufacturing Engineering,Management Science and Operations Research,Strategy and Management,Computer Science Applications

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2. Set up a supply chain observatory through the comparison of multi-criteria parsimonious methods;Benchmarking: An International Journal;2024-02-23

3. Supply Chain Performance Measurement: Current Challenges and Opportunities;The Palgrave Handbook of Supply Chain Management;2024

4. The three Ps of supply chain resilience stages: a latent class analysis approach;Supply Chain Forum: An International Journal;2023-11-21

5. Supply Chain Performance Measurement: Current Challenges and Opportunities;The Palgrave Handbook of Supply Chain Management;2023-11-09
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