EconPapers    
Economics at your fingertips  
 

Robust facility location considering protection and backup under facility disruptions with decision-dependent uncertainty

Haitao Hu and Jiafu Tang

European Journal of Operational Research, 2025, vol. 325, issue 3, 474-486

Abstract: Designing a resilient supply chain network is crucial to mitigate the impact of disruptions on supply facilities. This paper merges the facility fortification problem into the robust facility location problem by consideration of proactive and response strategy to against supply facility disruptions and introduces a novel two-stage robust optimization (TRO) model with decision-dependent uncertainty (DDU). Within this TRO framework, facility location, protection, and backup decisions are treated as here-and-now decisions, anticipating the worst-case scenario of facility failures under disruption. Subsequent enabling backup and allocation decisions are wait-and-see decisions. Some theoretic properties on the TRO-DDU model are proposed and a decomposition method based on the nested column-and-constraint generation (NC&CG) algorithm is presented to solve the model exactly. Extensive numerical experiments are conducted to demonstrate the effectiveness of considering both protection and backup decisions and to examine their importance from the perspectives of the impact of protection budget, backup budget, total budget, disruption risk level, minimum number of facilities to open and backup cost coefficient. Also, we propose optimal budget plans for the manager based on maximizing average marginal efficiency (AME) to avoid meaningless additional budget investment. We highlight the advantages of the proposed model in random disruption scenarios compared to the one-stage robust model and one-stage model with random disruption risk. The results show how our model strategically mitigates facility disruption risks and enhances system performance.

Keywords: Facility planning and design; Facility disruption; Protection and backup; Robust optimization; Decision-dependent uncertainty (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0377221725002243
Full text for ScienceDirect subscribers only

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:eee:ejores:v:325:y:2025:i:3:p:474-486

DOI: 10.1016/j.ejor.2025.03.027

Access Statistics for this article

European Journal of Operational Research is currently edited by Roman Slowinski, Jesus Artalejo, Jean-Charles. Billaut, Robert Dyson and Lorenzo Peccati

More articles in European Journal of Operational Research from Elsevier
Bibliographic data for series maintained by Catherine Liu ().

 
Page updated 2025-05-20
Handle: RePEc:eee:ejores:v:325:y:2025:i:3:p:474-486