IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v16y2024i11p4336-d1398787.html
   My bibliography  Save this article

Multi-Objective Optimization for Food Availability under Economic and Environmental Risk Constraints

Author

Listed:
  • Bashar Hassna

    (College of Science and Engineering, Hamad Bin Khalifa University, Doha P.O. Box 34110, Qatar)

  • Sarah Namany

    (College of Science and Engineering, Hamad Bin Khalifa University, Doha P.O. Box 34110, Qatar)

  • Mohammad Alherbawi

    (College of Science and Engineering, Hamad Bin Khalifa University, Doha P.O. Box 34110, Qatar)

  • Adel Elomri

    (College of Science and Engineering, Hamad Bin Khalifa University, Doha P.O. Box 34110, Qatar)

  • Tareq Al-Ansari

    (College of Science and Engineering, Hamad Bin Khalifa University, Doha P.O. Box 34110, Qatar)

Abstract

Food security remains a critical global challenge, increasingly threatened by the adverse effects of climate change on agricultural productivity and food supply chains. Ensuring the stability, availability, and accessibility of food resources necessitates innovative strategies to assess and mitigate climate-related risks. This study presents a comprehensive analysis of the impact of climate change on global food systems, focusing on the risk assessment and optimization of food supply chains from the perspective of importers. Deploying the Analytical Hierarchy Process (AHP), this study evaluates climate change risks associated with seven different suppliers for three key crops, considering a range of factors, including surface temperature, arable land, water stress, and adaptation policies. Utilizing these assessments, a multi-objective optimization model is developed and solved using MATLAB (R2018a)’s Genetic Algorithm, aiming to identify optimal suppliers to meet Qatar’s food demand, with consideration of the economic, environmental, and risk factors. The findings underscore the importance of a comprehensive approach in managing food supply chains and offer insights to enhance the resilience and sustainability of global food systems amid climate uncertainties. This study contributes to the literature by applying AHP and multi-objective optimization in climate risk management within food systems, providing valuable perspectives for policymakers and stakeholders in the agricultural sector. Furthermore, the multi-objective optimization model analyzed three crop networks, yielding total costs of USD 16 million, USD 6 million, and USD 10 million for tomatoes, onions, and cucumbers, respectively, with associated CO 2 eq emissions and risk percentages. The findings reveal concentrated global vegetable markets, with major importers accounting for over 60% of imports, though the leading importers differ across crops, highlighting regional demand and production disparities, potentially impacting food security and supply chain resilience.

Suggested Citation

  • Bashar Hassna & Sarah Namany & Mohammad Alherbawi & Adel Elomri & Tareq Al-Ansari, 2024. "Multi-Objective Optimization for Food Availability under Economic and Environmental Risk Constraints," Sustainability, MDPI, vol. 16(11), pages 1-18, May.
    • Handle: RePEc:gam:jsusta:v:16:y:2024:i:11:p:4336-:d:1398787
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/16/11/4336/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/16/11/4336/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Cucagna, Maria Emilia & Goldsmith, Peter D., 2018. "Value Adding in the Agri-Food Value Chain," International Food and Agribusiness Management Review, International Food and Agribusiness Management Association, vol. 21(3), February.
    2. Mabhaudhi, T. & Nhamo, Luxon & Mpandeli, S. & Nhemachena, Charles & Senzanje, A. & Sobratee, N. & Chivenge, P. P. & Slotow, R. & Naidoo, D. & Liphadzi, S. & Modi, A. T., 2019. "The water–energy–food nexus as a tool to transform rural livelihoods and well-being in southern Africa," Papers published in Journals (Open Access), International Water Management Institute, pages 16(16):1-20.
    3. Vaidya, Omkarprasad S. & Kumar, Sushil, 2006. "Analytic hierarchy process: An overview of applications," European Journal of Operational Research, Elsevier, vol. 169(1), pages 1-29, February.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Jochen Wulf, 2020. "Development of an AHP hierarchy for managing omnichannel capabilities: a design science research approach," Business Research, Springer;German Academic Association for Business Research, vol. 13(1), pages 39-68, April.
    2. Rami Al Sidawi & Teo Urushadze & Angelika Ploeger, 2020. "Changes in Dairy Products Value Chain in Georgia," Sustainability, MDPI, vol. 12(15), pages 1-29, July.
    3. Nina Almasifar & Tülay Özdemir Canbolat & Milad Akhavan & Roberto Alonso González-Lezcano, 2021. "Proposing a New Methodology for Monument Conservation “SCOPE MANAGEMENT” by the Use of an Analytic Hierarchy Process Project Management Institute System and the ICOMOS Burra Charter," Sustainability, MDPI, vol. 13(23), pages 1-13, November.
    4. Jitendar Kumar Khatri & Bhimaraya Metri, 2016. "SWOT-AHP Approach for Sustainable Manufacturing Strategy Selection: A Case of Indian SME," Global Business Review, International Management Institute, vol. 17(5), pages 1211-1226, October.
    5. Sushil, 2019. "Efficient interpretive ranking process incorporating implicit and transitive dominance relationships," Annals of Operations Research, Springer, vol. 283(1), pages 1489-1516, December.
    6. Wang, Ying-Ming & Elhag, Taha M.S., 2007. "A goal programming method for obtaining interval weights from an interval comparison matrix," European Journal of Operational Research, Elsevier, vol. 177(1), pages 458-471, February.
    7. Madjid Tavana & Mariya Sodenkamp & Leena Suhl, 2010. "A soft multi-criteria decision analysis model with application to the European Union enlargement," Annals of Operations Research, Springer, vol. 181(1), pages 393-421, December.
    8. Lim, Chulmin & Rowsell, Joe & Kim, Seongcheol, 2023. "Exploring the killer domains to create new value: A Comparative case study of Canadian and Korean telcos," 32nd European Regional ITS Conference, Madrid 2023: Realising the digital decade in the European Union – Easier said than done? 277998, International Telecommunications Society (ITS).
    9. Ho, William, 2008. "Integrated analytic hierarchy process and its applications - A literature review," European Journal of Operational Research, Elsevier, vol. 186(1), pages 211-228, April.
    10. Chao Liu & Qichen Liao & Wenyan Gao & Shuxian Li & Peng Jiang & Ding Li, 2024. "Intellectual Capital Evaluation Index Based on a Hybrid Multi-Criteria Decision-Making Technique," Mathematics, MDPI, vol. 12(9), pages 1-29, April.
    11. Wenshuai Wu & Gang Kou, 2016. "A group consensus model for evaluating real estate investment alternatives," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 2(1), pages 1-10, December.
    12. Naidoo, Dhesigen & Nhamo, Luxon & Mpandeli, Sylvester & Sobratee, Nafisa & Senzanje, Aidan & Liphadzi, Stanley & Slotow, Rob & Jacobson, Michael & Modi, Albert T. & Mabhaudhi, Tafadzwanashe, 2021. "Operationalising the water-energy-food nexus through the theory of change," Renewable and Sustainable Energy Reviews, Elsevier, vol. 149(C).
    13. Karasakal, Esra & Aker, Pınar, 2017. "A multicriteria sorting approach based on data envelopment analysis for R&D project selection problem," Omega, Elsevier, vol. 73(C), pages 79-92.
    14. Lucie Lidinska & Josef Jablonsky, 2018. "AHP model for performance evaluation of employees in a Czech management consulting company," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 26(1), pages 239-258, March.
    15. Rubio-Aliaga, Alvaro & García-Cascales, M. Socorro & Sánchez-Lozano, Juan Miguel & Molina-Garcia, Angel, 2021. "MCDM-based multidimensional approach for selection of optimal groundwater pumping systems: Design and case example," Renewable Energy, Elsevier, vol. 163(C), pages 213-224.
    16. Saeed Nosratabadi & Gergo Pinter & Amir Mosavi & Sandor Semperger, 2020. "Sustainable Banking; Evaluation of the European Business Models," Papers 2003.13423, arXiv.org.
    17. Zhu, Bin & Xu, Zeshui, 2014. "Stochastic preference analysis in numerical preference relations," European Journal of Operational Research, Elsevier, vol. 237(2), pages 628-633.
    18. Joel O. Botai & Christina M. Botai & Katlego P. Ncongwane & Sylvester Mpandeli & Luxon Nhamo & Muthoni Masinde & Abiodun M. Adeola & Michael G. Mengistu & Henerica Tazvinga & Miriam D. Murambadoro & S, 2021. "A Review of the Water–Energy–Food Nexus Research in Africa," Sustainability, MDPI, vol. 13(4), pages 1-26, February.
    19. Wang, Ying-Ming & Luo, Ying & Hua, Zhongsheng, 2008. "On the extent analysis method for fuzzy AHP and its applications," European Journal of Operational Research, Elsevier, vol. 186(2), pages 735-747, April.
    20. Jing Xu & Ren Zhang & Yangjun Wang & Hengqian Yan & Quanhong Liu & Yutong Guo & Yongcun Ren, 2022. "A New Framework for Assessment of Offshore Wind Farm Location," Energies, MDPI, vol. 15(18), pages 1-17, September.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:16:y:2024:i:11:p:4336-:d:1398787. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.