A multi-product capacitated inventory-location model with risk pooling

Noura A. Al Dhaheri, Ali Diabat

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In this paper, a novel formulation for the capacitated warehouse inventory-location model with risk pooling for multiple products is proposed. A single plant ships different types of products to retailers via a network of warehouses. The locations and inventory policies of the warehouses are chosen so as to minimize the sum of fixed facility location, transportation, and inventory carrying costs. The warehouses retain safety stock so as to maintain appropriate service levels in the face of uncertain demand at the retailers for multiple products.

Original languageEnglish (US)
Title of host publicationIEEM2010 - IEEE International Conference on Industrial Engineering and Engineering Management
Pages1159-1164
Number of pages6
DOIs
StatePublished - 2010
EventIEEE International Conference on Industrial Engineering and Engineering Management, IEEM2010 - Macao, China
Duration: Dec 7 2010Dec 10 2010

Publication series

NameIEEM2010 - IEEE International Conference on Industrial Engineering and Engineering Management

Other

OtherIEEE International Conference on Industrial Engineering and Engineering Management, IEEM2010
CountryChina
CityMacao
Period12/7/1012/10/10

Keywords

  • Integer programming
  • Location-inventory
  • Multiple products
  • Supply chain optimization

ASJC Scopus subject areas

  • Industrial and Manufacturing Engineering

Fingerprint Dive into the research topics of 'A multi-product capacitated inventory-location model with risk pooling'. Together they form a unique fingerprint.

  • Cite this

    Al Dhaheri, N. A., & Diabat, A. (2010). A multi-product capacitated inventory-location model with risk pooling. In IEEM2010 - IEEE International Conference on Industrial Engineering and Engineering Management (pp. 1159-1164). [5674330] (IEEM2010 - IEEE International Conference on Industrial Engineering and Engineering Management). https://doi.org/10.1109/IEEM.2010.5674330