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.
| Original language | English |
|---|---|
| Pages (from-to) | 1-9 |
| Number of pages | 9 |
| Journal | Automation in Construction |
| Volume | 95 |
| DOIs | |
| Publication status | Published - 1 Nov 2018 |
Keywords
- 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
Cite this
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Optimization modeling of multi-skilled resources in prefabrication : Theorizing cost analysis of process integration in off-site construction. / Arashpour, Mehrdad; Kamat, Vineet; Bai, Yu; Wakefield, Ron; Abbasi, Babak.
In: Automation in Construction, Vol. 95, 01.11.2018, p. 1-9.Research output: Contribution to journal › Article › Research › peer-review
TY - JOUR
T1 - Optimization modeling of multi-skilled resources in prefabrication
T2 - Theorizing cost analysis of process integration in off-site construction
AU - Arashpour, Mehrdad
AU - Kamat, Vineet
AU - Bai, Yu
AU - Wakefield, Ron
AU - Abbasi, Babak
PY - 2018/11/1
Y1 - 2018/11/1
N2 - 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.
AB - 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.
KW - Agile workforce
KW - Cost modeling
KW - Cross-training resources
KW - Integer and linear programming
KW - Performance measures
KW - Prefabricated building elements
KW - Project management
KW - Resource planning theory
KW - Skill-chaining
KW - Workflow variance
UR - http://www.scopus.com/inward/record.url?scp=85050980752&partnerID=8YFLogxK
U2 - 10.1016/j.autcon.2018.07.027
DO - 10.1016/j.autcon.2018.07.027
M3 - Article
VL - 95
SP - 1
EP - 9
JO - Automation in Construction
JF - Automation in Construction
SN - 0926-5805
ER -