Comparative solution approach with quadratic and genetic programming to multi-objective healthcare facility location problem

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Gülsün B., Miç P., Edalı M.

Sigma Journal of Engineering and Natural Sciences, vol.4, no.4, pp.63-78, 2022 (ESCI) identifier

  • Publication Type: Article / Article
  • Volume: 4 Issue: 4
  • Publication Date: 2022
  • Doi Number: 10.14744/sigma.2022.00006
  • Journal Name: Sigma Journal of Engineering and Natural Sciences
  • Journal Indexes: Emerging Sources Citation Index (ESCI), Academic Search Premier, Directory of Open Access Journals
  • Page Numbers: pp.63-78
  • Keywords: lealthcare facility layout problem, Genetic algorithm, Quadratic programming, Quadratic Assignment Problem (QAP), Multi-objective facility layout problem, Hospital layout, HOSPITAL LAYOUT, DECISIONS, ALGORITHM
  • Yıldız Technical University Affiliated: Yes

Abstract

Facility layout planning is an indispensable part of the manufacturing and service operations. In the literature, there are two main different approaches for the solution of facility layout problem: While the first one aims to minimize both total transportation and assignment costs in a quantitative way, the second one aims to maximize the closeness relationship in a more qualitative way. In this study, we use both of these approaches to model a multi-objective facility layout optimization problem depending on a Quadratic Assignment Problem (QAP) formulation.