A Supplier Evaluation Approach for Designing an Optimal Supply Chain Network: A Novel Mathematical DEA Model
محورهای موضوعی : فصلنامه ریاضیJavad Mohammad Ghasemi 1 , S. Esmaeil Najafi 2 , Mohammad Reza Nabatchian 3 , Mohammad Fallah 4
1 - Department of industrial engineering, Central tehran Branch, Islamic Azad University, Tehran, Iran
2 - Department of Industrial Engineering, Science and Research Branch of the Islamic Azad University
3 - Department of industrial engineering, Central tehran Branch, Islamic Azad University, Tehran, Iran
4 - Department of Industrial Engineering, Central Tehran Branch, Islamic Azad University, Tehran, Iran
کلید واژه: Supplier evaluation, optimal supply chain, best efficient supplier, data envelopment analysis (DEA), mathematical model.,
چکیده مقاله :
The supplier evaluation process is a systematic approach used by organizations to determine and choose the best vendors to construct an optimal supply chain network. In other words, in supply chain management, identifying the suitable suppliers can play a key role in the success of the supply chain networks. To this end, different researchers have developed various approaches to evaluate and select the best suppliers. The current study provides a novel mathematical data envelopment analysis (DEA) approach to evaluate the suppliers and select the best efficient supplier among the set of efficient suppliers. The proposed approach solves only one mixed integer DEA model to determine the best efficient supplier. The approach not only determines the best efficient supplier, but also finds and ranks all efficient suppliers. Moreover, the presented model considers the decision maker preferences about the relative importance of supplier evaluation factors. We provide a real-life numerical example to illustrate and show the applicability and efficacy of the new approach.
The supplier evaluation process is a systematic approach used by organizations to determine and choose the best vendors to construct an optimal supply chain network. In other words, in supply chain management, identifying the suitable suppliers can play a key role in the success of the supply chain networks. To this end, different researchers have developed various approaches to evaluate and select the best suppliers. The current study provides a novel mathematical data envelopment analysis (DEA) approach to evaluate the suppliers and select the best efficient supplier among the set of efficient suppliers. The proposed approach solves only one mixed integer DEA model to determine the best efficient supplier. The approach not only determines the best efficient supplier, but also finds and ranks all efficient suppliers. Moreover, the presented model considers the decision maker preferences about the relative importance of supplier evaluation factors. We provide a real-life numerical example to illustrate and show the applicability and efficacy of the new approach.
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