During recent years, determining appropriate strategy in the supply chain has become an important strategic issue. However, the nature of these decisions usually is complex and unstructured. To determine the best supply chain strategy, many quantitative and qualitative attributes such as cost, responsiveness and flexibility can be taken into account. In order to approximate the human subjective evaluation process, it would be desirable to apply a fuzzy MADM model. In this paper a fuzzy multi-attribute decision making (FMADM) model is developed to deal with strategy selection problem in a supply chain. A case study is used to validate the proposed model and the corresponding results show the power of the proposed model in handling subjective data in multi-attribute decision making process.
Razmi, J., Seifoory, M., & Pishvaee, M. S. (2011). A Fuzzy Multi-Attribute Decision Making
Model for Selecting the Best Supply Chain Strategy:
Lean, Agile or Leagile. Advances in Industrial Engineering, 45(Special Issue), 127-142.
MLA
Jafar Razmi; Maryam Seifoory; Mir Saman Pishvaee. "A Fuzzy Multi-Attribute Decision Making
Model for Selecting the Best Supply Chain Strategy:
Lean, Agile or Leagile". Advances in Industrial Engineering, 45, Special Issue, 2011, 127-142.
HARVARD
Razmi, J., Seifoory, M., Pishvaee, M. S. (2011). 'A Fuzzy Multi-Attribute Decision Making
Model for Selecting the Best Supply Chain Strategy:
Lean, Agile or Leagile', Advances in Industrial Engineering, 45(Special Issue), pp. 127-142.
VANCOUVER
Razmi, J., Seifoory, M., Pishvaee, M. S. A Fuzzy Multi-Attribute Decision Making
Model for Selecting the Best Supply Chain Strategy:
Lean, Agile or Leagile. Advances in Industrial Engineering, 2011; 45(Special Issue): 127-142.
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