A Multi-Objective GA-based Optimisation for Holistic Manufacturing,transportation and Assembly of Precast Construction

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Title: A Multi-Objective GA-based Optimisation for Holistic Manufacturing,transportation and Assembly of Precast Construction
Authors: Anvari, B
Angeloudis, P
Ochieng, WY
Item Type: Journal Article
Abstract: Resource scheduling of construction proposals allows project managers to assess resource requirements, provide costs and analyse potential delays. The Manufacturing, transportation and Assembly (MtA) sectors of precast construction projects are strongly linked, but considered separately during the scheduling phase. However, it is important to evaluate the cost and time impacts of consequential decisions from manufacturing up to assembly. In this paper, a multi-objective Genetic Algorithm-based (GA-based) searching technique is proposed to solve unified MtA resource scheduling problems (which are equivalent to extended Flexible Job Shop Scheduling Problems). To the best of the authors’ knowledge, this is the first time that a GA-based optimisation approach is applied to a holistic MtA problem with the aim of minimising time and cost while maximising safety. The model is evaluated and compared to other exact and non-exact models using instances from the literature and scenarios inspired from real precast constructions.
Date of Acceptance: 12-Aug-2016
URI: http://hdl.handle.net/10044/1/39254
ISSN: 0926-5805
Publisher: Elsevier
Journal / Book Title: Automation in Construction
Copyright Statement: © 2016, Elsevier. Licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International http://creativecommons.org/licenses/by-nc-nd/4.0/
Sponsor/Funder: Engineering & Physical Science Research Council (EPSRC)
Funder's Grant Number: EP/L504683/1
Keywords: Building & Construction
09 Engineering
12 Built Environment And Design
Publication Status: Accepted
Appears in Collections:Faculty of Engineering
Civil and Environmental Engineering



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