Multi-echelon Distribution Network Optimization Considering Dual-Source Replenishment Under Interruption Risk

Xin Li () and Xiaochun Lu ()
Additional contact information
Xin Li: Beijing Jiaotong University
Xiaochun Lu: Beijing Jiaotong University

A chapter in LISS 2023, 2024, pp 452-466 from Springer

Abstract: Abstract This paper studies the regional warehouse location-inventory problem under the influence of interruption risk on the three-level distribution network of central warehouse, regional warehouse and store, considering that a store can be replenished by a central warehouse or a regional warehouse. A nonlinear 0–1 integer programming model is constructed, and the model is transformed into a linear 0–1 integer programming problem by using the piecewise linear approximation method. The location decision and inventory decision are realized by using the precise algorithm. The case study shows that considering dual-source replenishment under the risk of interruption can reduce the cost of regional warehouse construction, while considering the risk of interruption can reduce the possible emergency costs in the future.

Keywords: multi-echelon distribution network optimization; dual-source replenishment; interruption risk; location-inventory problem (search for similar items in EconPapers)
Date: 2024
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:lnopch:978-981-97-4045-1_35

Ordering information: This item can be ordered from
http://www.springer.com/9789819740451

DOI: 10.1007/978-981-97-4045-1_35

Access Statistics for this chapter

More chapters in Lecture Notes in Operations Research from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().