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A multi-objective optimization model for a multi-period mobile facility location problem with environmental and disruption considerations

Author

Listed:
  • Fouad Maliki

    (Manufacturing Engineering Laboratory of Tlemcen (MELT)
    High School of Applied Sciences of Tlemcen)

  • Mehdi Souier

    (Manufacturing Engineering Laboratory of Tlemcen (MELT)
    High School of Management of Tlemcen)

  • Mohammed Dahane

    (Université de Lorraine)

  • Fouad Ben Abdelaziz

    (NEOMA Business School)

Abstract

The present work addresses a multi-period facility location decision during crisis—Pandemic—situation with highly uncertain demand. Our paper identifies failing distribution centres (DCs) over several periods of time and decides about relocation. Several scenarios arise: DCs can be opened, displaced from one location to another, closed or even reopened during a certain time, using mobile facility. We recommend a multi-objective non-linear mixed-integer mathematical model that identifies, for each period, the best possible location for DCs and their allocation to customers. Our model analyses the trade-off between economic costs and $$CO_2$$ C O 2 emissions generated by facilities operations. We suggest a multi-objective approach based on a Non-dominated Sorting Genetic Algorithm II (NSGA-II). Our simulations demonstrate how mobile facility should be managed to ensure a good balance between economic and environmental criteria.

Suggested Citation

  • Fouad Maliki & Mehdi Souier & Mohammed Dahane & Fouad Ben Abdelaziz, 2025. "A multi-objective optimization model for a multi-period mobile facility location problem with environmental and disruption considerations," Annals of Operations Research, Springer, vol. 346(2), pages 1445-1470, March.
    • Handle: RePEc:spr:annopr:v:346:y:2025:i:2:d:10.1007_s10479-022-04945-4
    DOI: 10.1007/s10479-022-04945-4
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