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

@unpublished{Anvari:2015,
author = {Anvari, B and Angeloudis, P and Ochieng, W},
publisher = {17th British-French-German Conference on Optimization},
title = {Multi-Objective GA-based Optimisation for Manufacturing, Transportation and Assembly of Precast Construction},
year = {2015}
}
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RIS format (EndNote, RefMan)

TY  - UNPB
AB  - Precast production is an enhanced method to utilize construction schedule, cost, workforce, safety and quality. Making production schedules which satisfy multiple objectives is the most important part of precast construction planning. The Manufacturing, transportation and Assembly (MtA) sectors are often strongly linked to each other in construction projects. These sectors require a considerable amount of time, workforce and budget. In addition, the available resources for each sector have specific constraints. The difficulty is due mainly to the high number of constraints in the real-world application. It is important to evaluate the impact of consequential decisions from the manufacturing up to assembly in minimising project's time and cost while maximizing safety. Reducing the number of on-site workforce from congested construction site maximises the safety, and prefabricating components in a controlled and protected environment maximises the quality of the elements. In this paper, a Resource-constrained Complex Flexible Job Shop Scheduling (RCFJSS) optimisation approach is presented for minimising makespan and cost of precast techniques. At the same time, the number of on-site workers is minimised considering the holistic MtA system. A multi-objective Genetic Algorithm-based (GA-based) searching technique is used to provide optimal most advantageous solution in consideration of resource constraints. The output of this RCFJSS model provides an optimal allocation of resources on operations for the overall project duration, cost and on-site labour. Using this optimisation model, optimal solutions for different levels of prefabrication can be determined and compared with respect to projects horizon and budget.
AU  - Anvari,B
AU  - Angeloudis,P
AU  - Ochieng,W
PB  - 17th British-French-German Conference on Optimization
PY  - 2015///
TI  - Multi-Objective GA-based Optimisation for Manufacturing, Transportation and Assembly of Precast Construction
ER  -
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