A Bi-objective Model for Mineral Supply Chain Network Design Considering Social Responsibility and solving by a Novel Fuzzy Multi-choice Goal Programming method

Hajisoltani, Fatemeh; Seifbarghy, Mehdi; PISHVA, Davar

doi:10.22068/ijiepr.34.1.1

Volume 34, Issue 1 (IJIEPR 2023) IJIEPR 2023, 34(1): 1-20 | Back to browse issues page

‎ 10.22068/ijiepr.34.1.1

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Hajisoltani F, Seifbarghy M, PISHVA D. A Bi-objective Model for Mineral Supply Chain Network Design Considering Social Responsibility and solving by a Novel Fuzzy Multi-choice Goal Programming method. IJIEPR 2023; 34 (1) :1-20
URL: http://ijiepr.iust.ac.ir/article-1-1597-en.html

A Bi-objective Model for Mineral Supply Chain Network Design Considering Social Responsibility and solving by a Novel Fuzzy Multi-choice Goal Programming method

Fatemeh Hajisoltani¹

, Mehdi Seifbarghy²

, Davar PISHVA

1- Department of Industrial Engineering, Faculty of Engineering, Alzahra University, Iran
2- Department of Industrial Engineering, Faculty of Engineering, at Alzahra University of Iran
3- Ritsumeikan Asia Pacific University (APU) Japan , dpishva@apu.ac.jp

Abstract: (2245 Views)

The main objective of this research is effective planning as well as greener production and distribution of mineral products in supply chain network. Through a case study in cement industry, it considers the design of the mining supply chain network including several factories with a number of production lines and multiple distribution centers. It leaves part of the transportation operation to contractor companies so as to enable the core company to better focus on its products’ quality and also create job opportunities to local people. It employs a multi-period and multi-product mixed integer linear programming model to both maximize the profit of the factory as well as minimize its carbon dioxide gas emissions which are released during cement production and transportation process. Due to the uncertainty of its cost parameters, fuzzy logic has been used for the modeling and solved via a novel fuzzy multi-choice goal programming approach. Sensitivity analysis has also been done on some key parameters. Comparing results of the model with those from the single-objective models, shows that the model has good efficiency and can be used by managers of mining industries such as cement. Although leaving part of the transportation operations to contractor companies increases the number of vehicles used by the contractor companies, its associated decrease in the number of required factory vehicles, improves both objectives of the model. This should be considered by the managers since on top of profit maximization, it can help them build an eco-friendly image. Mining industries generally generate significant amount of pollutions and companies that pay attention to different dimensions of their social responsibilities can remain stable in the competitive market.

Keywords: Supply Chain Design, Greener Production, Social Responsibility, Carbon Dioxide Emission, Multi-choice Goal Programming, Outsourcing.

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Type of Study: Research | Subject: Optimization Techniques
Received: 2022/09/14 | Accepted: 2022/11/2 | Published: 2023/03/10