A platform for research: civil engineering, architecture and urbanism
Optimization of process integration and multi-skilled resource utilization in off-site construction
Abstract Traditional approaches in construction project management assign each process to a trade contractor with an individual specialisation, and trades with the greatest work content (bottlenecks) have a significant influence on the progress rate of projects. A system with integrated processes, however, is able to function dynamically in response to variability in product demand and labour resources. This investigation aims to compare and contrast cross-training strategies that are applicable to off-site construction in order to create multi-skilled resources. To this end, the optimal number of additional skills was formulated as a constrained optimization problem. Then, production data from two prefabricated production facilities in Melbourne and Brisbane, Australia were used to construct a total of 1080 simulation experiments. Tangible performance metrics of systems were used to compare process integration strategies and use of multi-skilled resources. Findings show that choosing optimal process integration architecture depends on the level of capacity imbalance and processing time variability. This investigation optimises the decision making on process integration in off-site construction networks.
Highlights Construction processes are highly fragmented. Process integration can improve tangible performance measures. Process integration was modelled as an optimization problem. Direct capacity shifting to bottlenecks addresses capacity imbalance optimally. Indirect capacity shifting to bottlenecks addresses processes variability optimally.
Optimization of process integration and multi-skilled resource utilization in off-site construction
Abstract Traditional approaches in construction project management assign each process to a trade contractor with an individual specialisation, and trades with the greatest work content (bottlenecks) have a significant influence on the progress rate of projects. A system with integrated processes, however, is able to function dynamically in response to variability in product demand and labour resources. This investigation aims to compare and contrast cross-training strategies that are applicable to off-site construction in order to create multi-skilled resources. To this end, the optimal number of additional skills was formulated as a constrained optimization problem. Then, production data from two prefabricated production facilities in Melbourne and Brisbane, Australia were used to construct a total of 1080 simulation experiments. Tangible performance metrics of systems were used to compare process integration strategies and use of multi-skilled resources. Findings show that choosing optimal process integration architecture depends on the level of capacity imbalance and processing time variability. This investigation optimises the decision making on process integration in off-site construction networks.
Highlights Construction processes are highly fragmented. Process integration can improve tangible performance measures. Process integration was modelled as an optimization problem. Direct capacity shifting to bottlenecks addresses capacity imbalance optimally. Indirect capacity shifting to bottlenecks addresses processes variability optimally.
Optimization of process integration and multi-skilled resource utilization in off-site construction
Arashpour, Mehrdad (author) / Wakefield, Ron (author) / Blismas, Nick (author) / Minas, James (author)
Automation in Construction ; 50 ; 72-80
2014-12-11
9 pages
Article (Journal)
Electronic Resource
English
Optimization of process integration and multi-skilled resource utilization in off-site construction
British Library Online Contents | 2015
|Optimization of process integration and multi-skilled resource utilization in off-site construction
Online Contents | 2015
|Augmented heuristic algorithm for multi-skilled resource scheduling
Online Contents | 2011
|