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

Fouad Maliki, Mehdi Souier, Mohammed Dahane and Fouad Ben Abdelaziz ()
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Fouad Maliki: Manufacturing Engineering Laboratory of Tlemcen (MELT)
Mehdi Souier: Manufacturing Engineering Laboratory of Tlemcen (MELT)
Mohammed Dahane: Université de Lorraine
Fouad Ben Abdelaziz: NEOMA Business School

Annals of Operations Research, 2025, vol. 346, issue 2, No 27, 1445-1470

Abstract: 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.

Keywords: Facility planning and design; Multi-objective programming; Disruptions; Environmental sustainability (search for similar items in EconPapers)
Date: 2025
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DOI: 10.1007/s10479-022-04945-4

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