Facility Location and Supply Chain Risk Analytics

Iris Heckmann (), Stefan Nickel () and Francisco Saldanha-da-Gama ()
Additional contact information
Iris Heckmann: Innovative Technologies Lab
Stefan Nickel: Karlsruhe Institute of Technology (KIT)
Francisco Saldanha-da-Gama: Faculdade de Ciências, Universidade de Lisboa

A chapter in Uncertainty in Facility Location Problems, 2023, pp 155-181 from Springer

Abstract: Abstract In this chapter, location analysis is put at the core of what is coined as supply chain risk analytics. This is accomplished by devising a hierarchy for the core elements underlying a new definition introduced for supply chain risk. The ultimate purpose of this analysis is to obtain risk-aware decisions for supply network design that adequately overcome the information gap. The above elements and concepts are operationalized through a capacitated facility location problem with an objective that has firm- and customer-oriented features and that includes demand uncertainty. This leads to a risk-aware optimization model, which is introduced for supply chain network design problems fulfilling gaps identified in contemporary research. Additionally, the value of considering risk-aware solutions is discussed in the context of supply chain management. Above all, this chapter closes a gap existing in the literature, namely, a missing clear objective and quantifiable definition of risk in supply chain management. Both researchers and practitioners can benefit from the contents of this chapter.

Keywords: Supply chain risk; Risk-aware locations; Two-stage stochastic location model (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_7

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

DOI: 10.1007/978-3-031-32338-6_7

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 ().