A multi-objective GA-based optimisation for holistic Manufacturing, transportation and Assembly of precast construction
A multi-objective GA-based optimisation for holistic Manufacturing, transportation and Assembly of precast construction
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.
226-241
Anvari, Bani
f94e2ccb-1d88-4980-8d29-f4281995d072
Angeloudis, P.
3841bf5c-36d2-4d1e-ac24-e1f6db760e02
Ochieng, W.Y.
c3e146c9-8f8d-4297-8f64-0c9a4a1236e8
November 2016
Anvari, Bani
f94e2ccb-1d88-4980-8d29-f4281995d072
Angeloudis, P.
3841bf5c-36d2-4d1e-ac24-e1f6db760e02
Ochieng, W.Y.
c3e146c9-8f8d-4297-8f64-0c9a4a1236e8
Anvari, Bani, Angeloudis, P. and Ochieng, W.Y.
(2016)
A multi-objective GA-based optimisation for holistic Manufacturing, transportation and Assembly of precast construction.
Automation in Construction, 71, part 2, .
(doi:10.1016/j.autcon.2016.08.007).
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.
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Accepted/In Press date: 12 August 2016
e-pub ahead of print date: 21 August 2016
Published date: November 2016
Organisations:
Transportation Group
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Local EPrints ID: 402891
URI: http://eprints.soton.ac.uk/id/eprint/402891
ISSN: 0926-5805
PURE UUID: 09b9ae6f-422c-45ec-9bc9-4086352095d4
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Date deposited: 18 Nov 2016 09:19
Last modified: 15 Mar 2024 03:28
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Author:
P. Angeloudis
Author:
W.Y. Ochieng
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