Optimization modeling of multi-skilled resources in prefabrication: Theorizing cost analysis of process integration in off-site construction

Arashpour, M, Kamat, V, Bai, Y, Wakefield, R and Abbasi, B 2018, 'Optimization modeling of multi-skilled resources in prefabrication: Theorizing cost analysis of process integration in off-site construction', Automation in Construction, vol. 95, pp. 1-9.


Document type: Journal Article
Collection: Journal Articles

Title Optimization modeling of multi-skilled resources in prefabrication: Theorizing cost analysis of process integration in off-site construction
Author(s) Arashpour, M
Kamat, V
Bai, Y
Wakefield, R
Abbasi, B
Year 2018
Journal name Automation in Construction
Volume number 95
Start page 1
End page 9
Total pages 9
Publisher Elsevier BV
Abstract In advanced manufacturing of building elements, process integration and utilization of multi-skilled resources enhance the flexibility of production networks against variations in demand and resource availability. This research study aims to incorporate the required cost and time for cross-training multi-skilled resources into resource planning computations. Towards this aim, minimizing the cost of utilizing multi-skilled resources in off-site construction is formulated using integer and probabilistic optimization models. Production data of two prefabrication networks in Brisbane and Melbourne, Australia are used to derive computational results and validate models. The main contribution of this research study is to analyze the costeffectiveness of deploying multi-skilled resources with the aim of improving production flexibility. The modeling methodology and findings are of practical use to off-site manufacturers that experience variations in production demand and resource availability.
Subject Building Construction Management and Project Planning
Keyword(s) Agile workforce
Cost modeling
Cross-training resources
Integer and linear programming
Performance measures
Prefabricated building elements
Project management
Resource planning theory
Skill-chaining
Workflow variance
DOI - identifier 10.1016/j.autcon.2018.07.027
Copyright notice © 2018 Published by Elsevier B.V.
ISSN 0926-5805
Versions
Version Filter Type
Citation counts: TR Web of Science Citation Count  Cited 4 times in Thomson Reuters Web of Science Article | Citations
Scopus Citation Count Cited 0 times in Scopus Article
Altmetric details:
Access Statistics: 27 Abstract Views  -  Detailed Statistics
Created: Thu, 21 Feb 2019, 12:10:00 EST by Catalyst Administrator
© 2014 RMIT Research Repository • Powered by Fez SoftwareContact us