نوع مقاله : مقاله پژوهشی

نویسندگان

1 استادیار گروه مهندسی صنایع، دانشکده فنی و مهندسی، دانشگاه قم، قم، ایران

2 دانشیار گروه مهندسی صنایع، دانشکده فنی و مهندسی، دانشگاه قم ،قم، ایران

3 دانشجوی دکتری مدیریت صنعتی ، دانشکده مدیریت و اقتصاد، دانشگاه آزاد اسلامی واحد علوم و تحقیقات، تهران، ایران

4 دانشجوی دکتری مهندسی صنایع ، دانشکده مهندسی صنایع ، دانشگاه علم و صنعت ، تهران ، ایران

چکیده

مدیریت دانش یکی از عوامل موثر در ارتقای عملکرد زنجیره تامین سازمان است که این عامل می تواند با استفاده از چارچوب هایی همچون مدل تعالی EFQM در راستای کسب مزیت رقابتی بهتر تقویت گردد. در این پژوهش، ابتدا توانمندسازهای مدیریت دانش بر اساس معیارهای توانمندساز EFQM دسته بندی می گردد و سپس، به منظور برآورد دقیق وزن (اهمیت) هر توانمندساز مدیریت دانش با استفاده از روش ANP فازی، روابط علت – معلولی میان معیارهای توانمندساز EFQM با استفاده از روش دیمتل فازی ارزیابی می گردد. همچنین، به منظور برآورد میزان اهمیت هر توانمندساز مدیریت دانش در تسهیم دانش میان افراد زنجیره از روش AHP استفاده می گردد. به منظور بهینه سازی مدیریت دانش و اتخاذ یک استراتژی مدیریت دانش در هرقسمت از زنجیره تامین و انتخاب افراد ذی صلاح جهت بهینه سازی نشر دانش در بخش تحقیق و توسعه از برنامه ریزی چند هدفه مختلط استفاده می گردد. نتایج این مدل نشان می دهد که هر بخش از زنجیره تامین باید بر توسعه برخی توانمندسازها تمرکز نموده و هر کدام استراتژی مشخصی را اتخاذ می نمایند. همچین این نتایج بر اثرگذاری توانمندسازها و توسعه آن‌ها در زمینه انتخاب افراد ذی صلاح تاکید دارد.

کلیدواژه‌ها

عنوان مقاله [English]

A The Evaluation of Knowledge Management in Supply Chain Using EFQM Framework, Fuzzy Multi-Attribute Decision Making and Multi-Objective Programming

نویسندگان [English]

  • S.jamal’aldin Hosseini 1
  • Jalal Rezaeenour 2
  • mohammad masoumi 3
  • Amir Hosein Akbari 4

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

چکیده [English]

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.

کلیدواژه‌ها [English]

  • Keywords: Knowledge Management
  • Supply Chain
  • EFQM
  • Fuzzy MultiAttribute Decision Making (FMADM)
  • multi-objective programming
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