2018
DOI: 10.22260/isarc2018/0141
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Multiskilled Human Resource Problem in Off-Site Construction

Abstract: Using multiskilled manpower refers to the ability of dynamically reallocate labour from one stage of production process to another one in response to bottlenecks configuration. This paper investigates improvements in tangible performance measures which can be achieved by incorporating multiskilled workforce in off-site construction. To this end, scheduling in off-site construction analysed in flowshop environment with multiskilled human resource in which operations processing time depends on the amount of huma… Show more

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Cited by 4 publications
(2 citation statements)
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References 26 publications
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“…In order to improve their experience, cross-training needs to be conducted. It is an appropriate way of dealing with off-site construction projects (Nasirian et al, 2018). However, manufacturers need to provide training courses for workers, which adds to labour costs.…”
Section: Project Process -Costmentioning
confidence: 99%
“…In order to improve their experience, cross-training needs to be conducted. It is an appropriate way of dealing with off-site construction projects (Nasirian et al, 2018). However, manufacturers need to provide training courses for workers, which adds to labour costs.…”
Section: Project Process -Costmentioning
confidence: 99%
“…Construction planning is the most crucial, knowledgeintensive, ill-structured, and challenging phase in the project development cycle due to the complicated, interactive, and dynamic nature of construction processes [26,27]. DES provides support to construction planning by predicting the future state of a real construction system following the creation of a computer model of the real system based on real life statistics and operations [28]. Simulation models for typical construction systems have been delivered as electronic realistic prototypes for engineers to experiment on, which eventually will lead to productive, efficient, and economical field operations.…”
Section: Discrete Events Simulation (Des)mentioning
confidence: 99%