Designing a Biodiesel Supply Chain Network by Considering Environmental FactorsUnder Uncertainty Conditions and solving it with the MOPSO algorithm
Subject Areas : Sustainable Development
gholamreza jandaghi
1
(Professor., Department of Management and Accounting, College of Farabi, University of Tehran, Qom, Iran *(Correspondence Author))
mohammad reza fathi
2
(Associate Professor., Department of Management and Accounting, College of Farabi, University of Tehran, Qom, Iran)
mohammad hasan maleki
3
(Associate Professor, Department of Management, University of Qom, Qom, Iran.)
Meysam Molavi
4
(Phd of Industrial Management, Department of Management and Accounting, College of Farabi, University of Tehran, Qom, Iran.)
Keywords: Meta-Heuristic Algorithm, Fuzzy Multi-objective Programming, Supply Chain Network Design, Biodiesel,
Abstract :
Background and Objective: Increasing concerns about energy and greenhouse gas emissions from fossil fuel consumption have encouraged many researchers to be involved in developing sources of renewable energies. Biodiesel derived from biomass can play a crucial role in this context. The main objective of this paper is to present a mathematical programming model for the biomass supply chain. Material and Methodology: Researcher through library research and preparing a questionnaire to estimate parameters and data associated with the uncertainty of parameters and then through interviews, expert opinions about the limits and changes to the decision-making parameters have collected. Then a fuzzy multi-objective mixed integer programming model is presented that model to minimize costs, minimize environmental impact and minimize the time of delivery of product in Biodiesel Supply Chain. Findings: After running the model, increasing objective function is to minimize the total cost, minimize environmental impact and minimizing the time the product reaches the customer contact temperature limits for different values were obtained. Discussion and Conclusion: In this study, the proposed mathematical programming model is solved with the MOPSO algorithm. The results indicate the location and capacity of the facility, the amount of biodegradable and glycerin production, and the amount of extracted Jatropha oil and refined waste oils.
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