Document Type : Research Paper

Authors

1 Assistance professor, faculty of Industrial engineering, university of Qom, Qom, Iran

2 Head of ICT Center, University of Qom, Dean of Department of Industrial Engineering, University of Qom

3 MSc of Industrial Engineering, Faculty of Technology and Engineering, University of Qom, Qom, Iran

4 MSc of Information Technology Engineering, Faculty of Technology and Engineering, University of ،Tehran, Tehran, Iran

Abstract

One Knowledge Management (KM) as one of the Supply Chain performance
improvement factors can be strengthened through frameworks like EFQM Excellence
Model in order to achieve competitive advantage. First, the KM enablers in SC are
classified based on EFQM enabler criteria. Then, the importance of each KM enabler is
evaluated by fuzzy DEMATEL-ANP. In addition, Analytical Hierarchy Process (AHP) is
applied to evaluate the importance of each KM enabler in knowledge sharing among
supply chain people. In the research, the multi-objective mixed integer programming is
used to optimize knowledge management and select KM strategy in each part of SC.
Likewise, it is approved to select suitable members of SC for Research and Development
(R&D) unit of SC. Results show that each part of SC should focus on developing some
KM enablers, and selection of a suitable strategy. These results also emphasis the
effectiveness of each KM enabler and their development in selecting of suitable members
for R&D unit of SC.

Keywords

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