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

چکیده مقاله

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 optimal
contractor 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 were
identified. 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 facilities
accounted for the maximum weight, respectively. In fuzzy method, work experience and
based on the crisp weight of machinery and facilities, they accounted for the maximum
weight.
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.
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