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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
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.
0926-5805
226-241
Anvari, Bani
f94e2ccb-1d88-4980-8d29-f4281995d072
Angeloudis, P.
3841bf5c-36d2-4d1e-ac24-e1f6db760e02
Ochieng, W.Y.
c3e146c9-8f8d-4297-8f64-0c9a4a1236e8
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, 226-241. (doi:10.1016/j.autcon.2016.08.007).

Record type: 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.

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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

Identifiers

Local EPrints ID: 402891
URI: https://eprints.soton.ac.uk/id/eprint/402891
ISSN: 0926-5805
PURE UUID: 09b9ae6f-422c-45ec-9bc9-4086352095d4
ORCID for Bani Anvari: ORCID iD orcid.org/0000-0001-7916-7636

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Date deposited: 18 Nov 2016 09:19
Last modified: 15 Aug 2019 00:27

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Contributors

Author: Bani Anvari ORCID iD
Author: P. Angeloudis
Author: W.Y. Ochieng

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