Designing A Sustainable Waste Chain Network for Banana Farm Under Uncertainty: A Case Study
محورهای موضوعی : Supply chain management and logistics
Mahla Zhian Vamarzani
1
(School of Industrial Engineering, Rouzbahan University, Mazandaran, Iran )
Fardin Rezaei Zeynali
2
(School of Industrial Engineering, College of Engineering, University of Tehran, Tehran, Iran)
AmirReza Tajally
3
(School of Industrial Engineering, College of Engineering, University of Tehran)
Mohammad Parvin
4
(Department of Industrial and Systems Engineering, Auburn University, Auburn, AL, USA)
کلید واژه: Waste Chain Configuration, Agri-food Waste Management, Sustainability, Banana Farm, Goal Programming,
چکیده مقاله :
In recent years, due to the significant increase in global food demand, waste management in the agri-food industry has emerged as a major and complex challenge. The literature review indicates a significant gap in research, as no prior studies have investigated the waste chain configuration problem for banana farms specifically. Consequently, this study aims to address this gap by focusing on designing an efficient waste chain system for banana farms, incorporating all three pillars of sustainability—financial, social, and environmental. Waste produced in banana farms after harvesting can be repurposed in various industries, including energy production, compost manufacturing, and animal feed. Therefore, this research proposes a multi-objective mathematical model to optimize sustainability goals. Additionally, to address uncertainties in the model, the Robust Fuzzy Optimization (RFO) method is applied. Next, the study introduces a novel solution approach named stochastic Chebyshev Multi-Choice Goal Programming with Utility Function (CMCGP-UF) and tests it using a real-world case study. The results demonstrate both the effectiveness and efficiency of the developed method. Moreover, several sensitivity analyses are conducted to assess the impact of key model parameters on the research problem. Lastly, managerial insights and practical recommendations are provided for real-world application.
In recent years, due to the significant increase in global food demand, waste management in the agri-food industry has emerged as a major and complex challenge. The literature review indicates a significant gap in research, as no prior studies have investigated the waste chain configuration problem for banana farms specifically. Consequently, this study aims to address this gap by focusing on designing an efficient waste chain system for banana farms, incorporating all three pillars of sustainability—financial, social, and environmental. Waste produced in banana farms after harvesting can be repurposed in various industries, including energy production, compost manufacturing, and animal feed. Therefore, this research proposes a multi-objective mathematical model to optimize sustainability goals. Additionally, to address uncertainties in the model, the Robust Fuzzy Optimization (RFO) method is applied. Next, the study introduces a novel solution approach named stochastic Chebyshev Multi-Choice Goal Programming with Utility Function (CMCGP-UF) and tests it using a real-world case study. The results demonstrate both the effectiveness and efficiency of the developed method. Moreover, several sensitivity analyses are conducted to assess the impact of key model parameters on the research problem. Lastly, managerial insights and practical recommendations are provided for real-world application.
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