A decomposition approach to a stochastic model for supply-and-return network design

Ovidiu Listes

Published 2002 in Unknown venue

ABSTRACT

This paper presents a generic stochastic model for the design of networks comprising both supply and return channels, organized in a closed loop system. Such situations are typical for manufacturing/re-manufacturing type of systems in reverse logistics. The model accounts for a number of alternative scenarios, which may be constructed based on critical levels of design parameters such as demand or returns. We propose a decomposition approach for this model based on the branch and cut procedure known as the integer L-shaped method. Computational results show a consistent performance efficiency of the method for the addressed location problem. The stochastic solutions obtained in a numerical setting generate a significant improvement in terms of average performance over the individual scenario solutions. A solution methodology as presented here can contribute to overcoming notorious challenges of stochastic network design models, such as increased problem sizes and computational difficulty.

PUBLICATION RECORD

  • Publication year

    2002

  • Venue

    Unknown venue

  • Publication date

    2002-12-04

  • Fields of study

    Business, Engineering

  • Identifiers

    No identifiers available.

  • External record

    Open on Semantic Scholar

  • Source metadata

    Semantic Scholar

CITATION MAP

EXTRACTION MAP

CLAIMS

  • No claims are published for this paper.

CONCEPTS

  • No concepts are published for this paper.

CITED BY

Showing 1-17 of 17 citing papers · Page 1 of 1