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Facility layout planning. An extended literature review

期刊

INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
卷 59, 期 12, 页码 3777-3816

出版社

TAYLOR & FRANCIS LTD
DOI: 10.1080/00207543.2021.1897176

关键词

Facility design; facility layout; facility planning; materials handling; modelling

资金

  1. European Union H2020 Program [958205]
  2. Spanish Ministry of Science, Innovation and Universities [RTI2018-101344-B-I00]

向作者/读者索取更多资源

Facility layout planning involves the arrangement of industrial production system elements in physical space, with significant impact on operation costs, efficiency, and productivity. The research mainly uses mathematical optimization models to generate layout alternatives, with metaheuristics being the most common solution algorithms.
Facility layout planning (FLP) involves a set of design problems related to the arrangement of the elements that shape industrial production systems in a physical space. The fact that they are considered one of the most important design decisions as part of business operation strategies, and their proven repercussion on production systems' operation costs, efficiency and productivity, mean that this theme has been widely addressed in science. In this context, the present article offers a scientific literature review about FLP from the operations management perspective. The 232 reviewed articles were classified as a large taxonomy based on type of problem, approach and planning stage and characteristics of production facilities by configuring the material handling system and methods to generate and assess layout alternatives. We stress that the generation of layout alternatives was done mainly using mathematical optimisation models, specifically discrete quadratic programming models for similar sized departments, or continuous linear and non-linear mixed integer programming models for different sized departments. Other approaches followed to generate layout alternatives were expert's knowledge and specialised software packages. Generally speaking, the most frequent solution algorithms were metaheuristics.

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