On Risk Management of Multistage Multiscale FLP Under Uncertainty

Laureano F. Escudero () and Juan F. Monge ()
Additional contact information
Laureano F. Escudero: Universidad Rey Juan Carlos, URJC
Juan F. Monge: Universidad Miguel Hernández, UMH

A chapter in Uncertainty in Facility Location Problems, 2023, pp 355-390 from Springer

Abstract: Abstract A tight mixed integer linear programming modeling framework is presented for the multistage multiscale facility location multiproduct allocation network expansion planning under uncertainty. Two types of decisions are considered, namely, the strategic and the operational ones. The strategic decisions are the selection of facility locations in a network as well as the related capacity dimensioning and expansion along a time horizon. A comprehensive literature overview on the problem is performed. Two types of uncertain parameters are considered, namely, strategic and operational ones, to be represented in multistage and two-stage scenario trees, resp. By using the special structure of the facility location problem, the coherent time-consistent risk-averse measure to consider is the expected conditional second-order stochastic dominance. Given the intrinsic problem’s difficulty and the huge instances’ dimensions, it is unrealistic to seek an optimal solution. A specialization of the matheuristic algorithm SFR3 is presented to obtain a (hopefully good) feasible solution in reasonable time as well as a lower bound to assess the solution quality. The performance of the overall approach is computationally validated by considering a dynamic supply network design problem with 100 raw material, 50 products, 30 candidate facilities (10 plants and 20 distribution centers), 31 strategic scenario nodes in the time horizon, and 4 operational ones per stage.

Keywords: Facility location; Multistage multiscale stochastic mixed integer linear programming; Strategic and operational uncertainties; Coherent time-consistent risk-averse measures; Matheuristics (search for similar items in EconPapers)
Date: 2023
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

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:isochp:978-3-031-32338-6_14

Ordering information: This item can be ordered from
http://www.springer.com/9783031323386

DOI: 10.1007/978-3-031-32338-6_14

Access Statistics for this chapter

More chapters in International Series in Operations Research & Management Science from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().