SUPPLIEREVALUATION ANDSELECTION FORA CONSTRUCTIONCOMPANY

Abstract

In recent years, supply chain management has taken attentiontoboth business and academicareas. Notably, the selection of the best supplier is one of the most crucialproblemsin the supply chain.Thatis why studies on supplier selection problem increase day by day. Theaim of thisstudy to determine the best supplier selection for a construction firm. Multi-criteria decision-making methods are the best approach for solving problems, including many selection criteria.For this reason, it is proposed a two-stage multi criteria decision making model in this paper. In the first stage, Fuzzy AHP is used to find the weight of the criteria. At the second stage,the TOPSIS method is usedto rankthe cement supplier. The presented model is applied to aconstruction company from Somali. The results support the decision process of managers

Keywords

• Supplier selection
• FUZZY AHP
• TOPSIS

SUPPLIEREVALUATION ANDSELECTION FORA CONSTRUCTIONCOMPANY

Abstract

In recent years, supply chain management has taken attention to both business and academic areas. Notably, the
selection of the best supplier is one of the most crucial problems in the supply chain. That is why studies on supplier
selection problem increase day by day. The aim of this study to determine the best supplier selection for a construction
firm. Multi-criteria decision-making methods are the best approach for solving problems, including many selection
criteria. For this reason, it is proposed a two-stage multi criteria decision making model in this paper. In the first stage,
Fuzzy AHP is used to find the weight of the criteria. At the second stage, the TOPSIS method is used to rank the
cement supplier. The presented model is applied to a construction company from Somali. The results support the
decision process of managers.

Keywords

• supplier selection
• FUZZY AHP
• TOPSIS

References

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4. Chai, J., Liu, J.N.K., Ngai, E.W.T. (2013). Application of decision-making techniques in supplier selection: A systematic review of literature, Expert Systems with Applications, 40, 3872–3885.
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