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Razmi, Jafar, Seifoory, Maryam, Pishvaee, Mir Saman. (1390). A Fuzzy Multi-Attribute Decision Making Model for Selecting the Best Supply Chain Strategy: Lean, Agile or Leagile. , 45(Special Issue), 127-142.
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". , 45, Special Issue, 1390, 127-142.
Razmi, Jafar, Seifoory, Maryam, Pishvaee, Mir Saman. (1390). 'A Fuzzy Multi-Attribute Decision Making Model for Selecting the Best Supply Chain Strategy: Lean, Agile or Leagile', , 45(Special Issue), pp. 127-142.
Razmi, Jafar, Seifoory, Maryam, Pishvaee, Mir Saman. A Fuzzy Multi-Attribute Decision Making Model for Selecting the Best Supply Chain Strategy: Lean, Agile or Leagile. , 1390; 45(Special Issue): 127-142.

A Fuzzy Multi-Attribute Decision Making Model for Selecting the Best Supply Chain Strategy: Lean, Agile or Leagile

Advances in Industrial Engineering
مقاله 12، دوره 45، Special Issue - شماره پیاپی 626033، اسفند 2011، صفحه 127-142    اصل مقاله (163.29 K)
نویسندگان
Jafar Razmi؛ Maryam Seifoory؛ Mir Saman Pishvaee
چکیده
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.
کلیدواژه‌ها
Fuzzy multi-attribute decision making؛ Strategy selection؛ Supply Chain Management
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