Designing A Sustainable Waste Chain Network for Banana Farm Under Uncertainty: A Case Study
محورهای موضوعی : Supply chain management and logisticsMahla Zhian Vamarzani 1 , Fardin Rezaei Zeynali 2 , AmirReza Tajally 3 , Mohammad Parvin 4
1 - School of Industrial Engineering, Rouzbahan University, Mazandaran, Iran
2 - School of Industrial Engineering, College of Engineering, University of Tehran, Tehran, Iran
3 - School of Industrial Engineering, College of Engineering, University of Tehran
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, the results of the sensitivity analysis show that the total profit has decreased by increasing the capacity of facilities while the environmental impacts have decreased. Moreover, the achieved results indicate that increasing the rate of recyclable waste has a positive impact on the total profits and social impacts while has a negative impact on Z2.
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, the results of the sensitivity analysis show that the total profit has decreased by increasing the capacity of facilities while the environmental impacts have decreased. Moreover, the achieved results indicate that increasing the rate of recyclable waste has a positive impact on the total profits and social impacts while has a negative impact on Z2.
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