Solving multi-objective supplier selection model using a compensatory approach

Soroush Avakh Darestani, Maryam Azizi, Samaneh Qavami

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)


Supply chain management (SCM) is one of the most important competitive strategies employed by the modern enterprises. The main aim of SCM is to integrate different suppliers to gratify market demand. Meanwhile, supplier selection and evaluation play an important role in establishing an efficient supply chain. Supplier selection as an essential component of SCM is usually a multi-criteria decision problem in which actual business contexts may be solved in the absence of precise information. Three objective functions are minimization of costs, maximization of presented units as well as maximization of on time delivery, respectively. In order to solve the problem, a compensatory fuzzy model was proposed to satisfy the decision-makers aspirations for fuzzy goals. The proposed approach could be efficiently applied to obtain non-dominated solutions. A numerical example was given to demonstrate how the approach was employed. So, for solving the problem, Lingo software was used.
Original languageEnglish
Pages (from-to)387-395
Number of pages9
JournalJournal of Industrial and Production Engineering
Issue number6
Early online date24 Aug 2015
Publication statusPublished - 2015
Externally publishedYes


  • compensatory operator
  • mathematical programming
  • multi-criteria decision
  • supplier selection
  • supply chain


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