Industrial Innovations

Industrial Innovations

Development of a Green Supplier Selection Model with the Aim of Optimizing the Selection Criteria and Considering Incremental Discounts

Document Type : Original Article

Authors
1 Department of industrial engineering, Faculty of Engineering, Kharazmi University, Tehran, Iran.
2 Department of industrial engineering, Faculty of Engineering, Arak university, Arak, Iran
3 Department of industrial engineering, Faculty of Engineering, Kurdistan university, Sanandaj, Iran.
Abstract
Today, sustainable development has been proposed as an alternative to industrial development, and the environmental consequences and lack of resources on the planet have become the main concern of societies. Industry managers, especially in advanced countries, are looking for ways to increase the performance of their organization while protecting the environment. In this regard, paying attention to the green supply chain has received a lot of attention. One of the solutions to this problem, which has recently attracted the attention of industries and researchers, is choosing a green supplier. That is, purchasing units in companies should pay attention to green criteria in their purchasing process from suppliers throughout the supply chain. The concept of green supplier is to provide materials that consume less resources and energy and are non-toxic and do not destroy the environment. The aim of this paper is to develop a bi-objective model based on traditional and green supplier selection criteria and the simultaneous integration of the fuzzy AHP method, multi-objective optimization along with the use of the incremental discount concept. In this research, an integrated model that combines price-related decisions and traditional criteria with green criteria for selecting a green supplier has been presented. Finally, the performance of the model has been investigated and analyzed using a real example in the Lingo software and by the LP metric method. After solving the mentioned bi-objective model, the value of the first objective function is equal to 3.547628 and the value of the second objective function is equal to 1060513.
Keywords

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  • Receive Date 29 November 2023
  • Revise Date 28 February 2024
  • Accept Date 03 March 2024