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Assessing alternative production options for eco-efficient food supply chains using multi-objective optimization

Author

Listed:
  • Aleksander Banasik

    (Wageningen University)

  • Argyris Kanellopoulos

    (Wageningen University)

  • G. D. H. Claassen

    (Wageningen University)

  • Jacqueline M. Bloemhof-Ruwaard

    (Wageningen University)

  • Jack G. A. J. Vorst

    (Wageningen University)

Abstract

Due to tremendous losses of resources in modern food supply chains, higher priority should be given to reducing food waste and environmental impacts of food production. In practice, multiple production options are available, but must be quantitatively assessed with respect to economic and environmental performances before they are adopted in food supply chains. The objective of this paper is to develop a mathematical model that can be used for such a quantitative assessment of alternative production options that are associated with different ways to deal with waste in food supply chains, i.e. prevention, recycling, and disposal of food waste. We develop a multi-objective mixed integer linear programming model to derive the set of eco-efficient solutions corresponding to production planning decisions. Environmental performance of the chain is expressed with an indicator based on exergy analysis, which has the potential to capture other commonly used indicators, such as energy consumption, fuel consumption, and waste generation, and express them in a single value. This simplifies the calculation of the eco-efficient frontier, and enables its intuitive graphical representation, which is much easier to communicate to the involved decision makers. The applicability of the developed model is demonstrated on a real-life industrial bread supply chain in the Netherlands. Results confirm the findings from literature that prevention is the best waste management strategy from environmental perspective. The advantages of using exergy as an indicator to capture the environmental performance is demonstrated by comparing the outcomes to other commonly used indicators of environmental performance. We illustrate the potential of studying food production planning decision problems in a multi-objective context, and demonstrate the applicability of the model in the assessment of alternative production options.

Suggested Citation

  • Aleksander Banasik & Argyris Kanellopoulos & G. D. H. Claassen & Jacqueline M. Bloemhof-Ruwaard & Jack G. A. J. Vorst, 2017. "Assessing alternative production options for eco-efficient food supply chains using multi-objective optimization," Annals of Operations Research, Springer, vol. 250(2), pages 341-362, March.
    • Handle: RePEc:spr:annopr:v:250:y:2017:i:2:d:10.1007_s10479-016-2199-z
    DOI: 10.1007/s10479-016-2199-z
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    Cited by:

    1. Luo, Na & Olsen, Tava & Liu, Yanping & Zhang, Abraham, 2022. "Reducing food loss and waste in supply chain operations," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 162(C).
    2. Mohebalizadehgashti, Fatemeh & Zolfagharinia, Hossein & Amin, Saman Hassanzadeh, 2020. "Designing a green meat supply chain network: A multi-objective approach," International Journal of Production Economics, Elsevier, vol. 219(C), pages 312-327.
    3. D. G. Mogale & Sri Krishna Kumar & Manoj Kumar Tiwari, 2020. "Green food supply chain design considering risk and post-harvest losses: a case study," Annals of Operations Research, Springer, vol. 295(1), pages 257-284, December.
    4. Santini, Alberto, 2021. "Optimising the assignment of swabs and reagent for PCR testing during a viral epidemic," Omega, Elsevier, vol. 102(C).
    5. Na Luo & Tava Lennon Olsen & Yanping Liu, 2021. "A Conceptual Framework to Analyze Food Loss and Waste within Food Supply Chains: An Operations Management Perspective," Sustainability, MDPI, vol. 13(2), pages 1-21, January.
    6. Harpreet Kaur & Mahima Gupta, 2024. "Designing Flexible Public Food Distribution Systems for Resilience, Equity, and Losses Under Pandemic Disruptions," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 25(4), pages 825-848, December.
    7. Jawad, Hussam & Jaber, Mohamad Y. & Nuwayhid, Rida Y., 2018. "Improving supply chain sustainability using exergy analysis," European Journal of Operational Research, Elsevier, vol. 269(1), pages 258-271.
    8. Maria Elena Latino & Marta Menegoli & Martina De Giovanni, 2021. "Evaluating the Sustainability Dimensions in the Food Supply Chain: Literature Review and Research Routes," Sustainability, MDPI, vol. 13(21), pages 1-25, October.
    9. Roozbeh Nia, Ali & Awasthi, Anjali & Bhuiyan, Nadia, 2023. "Integrate exergy costs and carbon reduction policy in order to optimize the sustainability development of coal supply chains in uncertain conditions," International Journal of Production Economics, Elsevier, vol. 257(C).

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