Optimal Selection Contractors Using Crisp and Fuzzy Multi- Attribute Decision Making (Case Study: Kermanshah Gas Company)

  • سال انتشار: 1394
  • محل انتشار: کنفرانس بین المللی پژوهشهای نوین در مدیریت و مهندسی صنایع
  • کد COI اختصاصی: ICMNGCONF01_018
  • زبان مقاله: انگلیسی
  • تعداد مشاهده: 717
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نویسندگان

Farhad Vafaei

Affiliation: Department of Management, University of Kurdistan , Sanandaj, Iran.

Somayeh Mohammadi Farzami

Affiliation: Department of Management, Kermanshah Branch, Islamic Azad University, Kermanshah,Iran

چکیده

The appropriate selection of contractors is one of the fundamental challenges encountered by the organizations which their main executive activity takes place in the framework of contractual agreements. So selecting an inefficient contractor leads to significant damages to quality, expense and duration of executing projects. The present paper presents a comprehensive model in Kermanshah Gas Company which is able to select an optimalcontractor to execute project considering the effective quantitative and qualitative factors in the evaluation of contractors. Firstly, a decision making group was formed and the most effective criteria (including work experience, financial situation, etc.) for selecting contractor using questionnaire wereidentified. Then, taking advantage of the opinion of experts which include five members of the technical committee, the weight of criteria was determined in a fuzzy and crisp way; which based on fuzzy weight and crisp weight, work experience, and machinery and facilitiesaccounted for the maximum weight, respectively. In fuzzy method, work experience and based on the crisp weight of machinery and facilities, they accounted for the maximumweight Then four contractors participating in tender were ranked using ELECTRE, TOPSIS and FTOPSIS methods, which Nil AbMostahkamGharb Company ranked first at TOPSIS and FTOPSISmethod, and GharbKousha Architectures Co. ranked first at ELECTRE method. In the end, after performing Friedman test for detecting concordance using ranks mean technique, the final ranking of contract companies was obtained

کلیدواژه ها

Contractors Evaluation and Ranking; Fuzzy Multi-Attribute Decision Making Techniques; Kermanshah Gas Company; Linguistic Variables

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