A multi-period multi-season multi-objective mathematical model for guaranteeing the viability of supply chains under fluctuations: a healthcare closed-loop supply chain application
Zahra Hussaini (),
Arash Nemati () and
Mohammad Mahdi Paydar ()
Additional contact information
Zahra Hussaini: Babol Noshirvani University of Technology
Arash Nemati: Babol Noshirvani University of Technology
Mohammad Mahdi Paydar: Babol Noshirvani University of Technology
Annals of Operations Research, 2025, vol. 346, issue 2, No 14, 1063-1108
Abstract:
Abstract Fluctuations in supply chains’ input, such as demand, purchasing, transportation, and production costs, could negatively affect the supply chain’s efficiency and responsiveness. Several fluctuations lead to several types of shorter time intervals per period, resulting in high complexity in supply chain planning. This paper defines each time interval with the stable value of a parameter as a Season and considers different numbers of seasons from different lengths for each parameter per period. It proposes a multi-period multi-season multi-objective mixed-integer mathematical model to formulate several viability strategies under fluctuations in a closed-loop supply chain (CLSC) planning. In addition, a framework of viable healthcare supplier selection is proposed, involving several criteria, such as sustainability, resiliency, and Industry 4.0 adaptation, and using the fuzzy analytical hierarchy process. The proposed model is solved in a healthcare case study of face mask production using the optimality grade method and CPLEX solver. The results showed the need for forty-eight seasonal suppliers’ layoffs, seven production lines’ seasonal layoffs, several seasonal capacity regulations, and different levels of seasonal storage to reach a viable CLSC. In addition, the seasonal price and production cost forecasting should be as accurate as possible due to their significant share in the total costs. Also, sensitivity analysis showed the considerable role of seasonal demand variation on the layoff strategy of viability.
Keywords: Healthcare closed-loop supply chain; Multi-period multi-season multi-objective mathematical model; Optimality grade method; Fluctuation seasons; Temporary layoff; Viability (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:
Downloads: (external link)
http://link.springer.com/10.1007/s10479-023-05783-8 Abstract (text/html)
Access to the full text of the articles in this series is restricted.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:annopr:v:346:y:2025:i:2:d:10.1007_s10479-023-05783-8
Ordering information: This journal article can be ordered from
http://www.springer.com/journal/10479
DOI: 10.1007/s10479-023-05783-8
Access Statistics for this article
Annals of Operations Research is currently edited by Endre Boros
More articles in Annals of Operations Research from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().