Imperial College London
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Professor Washington Yotto Ochieng, EBS, FREng

Faculty of Engineering, Department of Civil and Environmental Engineering

Head of Department of Civil and Environmental Engineering
 
 
 
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Contact

 

+44 (0)20 7594 6104w.ochieng Website

 
 
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Assistant

 

Ms Maya Mistry +44 (0)20 7594 6100

 
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Location

 

441/442Skempton BuildingSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{Anvari:2016:10.1016/j.autcon.2016.08.007,
author = {Anvari, B and Angeloudis, P and Ochieng, WY},
doi = {10.1016/j.autcon.2016.08.007},
journal = {Automation in Construction},
pages = {226--241},
title = {A multi-objective GA-based optimisation for holistic Manufacturing, transportation and Assembly of precast construction},
url = {http://dx.doi.org/10.1016/j.autcon.2016.08.007},
volume = {71},
year = {2016}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - 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.
AU  - Anvari,B
AU  - Angeloudis,P
AU  - Ochieng,WY
DO  - 10.1016/j.autcon.2016.08.007
EP  - 241
PY  - 2016///
SN  - 0926-5805
SP  - 226
TI  - A multi-objective GA-based optimisation for holistic Manufacturing, transportation and Assembly of precast construction
T2  - Automation in Construction
UR  - http://dx.doi.org/10.1016/j.autcon.2016.08.007
UR  - https://www.sciencedirect.com/science/article/pii/S0926580516301558?via%3Dihub
UR  - http://hdl.handle.net/10044/1/39254
VL  - 71
ER  -
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