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West Virginia University

Ant colony heuristics for the dynamic facility layout problem

Abstract

dc:description.abstract

As global economic competition and cooperation become more and more drastic, the enterprise's facility layout needs to be more flexible to adapt to the rapidly changing environment. Therefore, attention should be given to the dynamical nature of the facility layout. In other words, the flow of materials between departments changes during the planning horizon (multiple periods) and should be considered. This problem is known as the dynamic facility layout problem (DFLP).;This research proposes three heuristics based on the ant colony optimization (ACO) heuristic to solve the DFLP. The performance of the heuristics was evaluated using two data sets taken from the literature. Results obtained show that the proposed heuristics are effective for the dynamic facility layout problem.

Degree

thesis:*
Name thesis:degree_name
MS
Level thesis:degree_level
Thesis
Discipline thesis:degree_discipline
Industrial and Managements Systems Engineering
Year dc:date.available
2002

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Shang, Jin
Contributors dc:contributor
  • Alan R. McKendall, Jr.

Subjects

dc:subject × 2

Identifiers

dc:identifier.*
OAI identifier oai:identifier
oai:researchrepository.wvu.edu:etd-2263

Chain of custody

source
Harvested from
West Virginia University
Base URL
researchrepository.wvu.edu/do/oai/
Last updated
2026-07-24
Source record
OAI-PMH GetRecord
citation

Shang, Jin. Ant colony heuristics for the dynamic facility layout problem. Thesis thesis, 2002. https://doi.org/10.33915/etd.1260