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Automatic work package sizing for cost-effective modular construction

delete2023-10-01
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PRE
AI
Z
Zisheng Liu
X
Xiao Li *
吴呈珂 (Chengke Wu)
J
Jun Ma
Z
Zhile Yang
Y
Yuanjun Guo
DOI:10.1016/j.autcon.2023.105003delete
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Abstract

Abstract

En 中文
The accurate determination of work package size is crucial for cost reduction and achieving efficient mass production in modular construction (MC) projects. However, effectively balancing sizing and cost poses a sig-nificant challenge due to the absence of a precise trade-off method. This paper describes an automatic work package sizing (AWPS) method in MC production to optimize work package sizing while minimizing costs. First, the multi-stakeholders-oriented MC production process is modeled to identify the tasks in MC production. Sec-ond, critical factors affecting the size of work packages are identified and analyzed. Then, a dynamic pro-gramming algorithm is developed to merge the tasks to work packages at a minimal cost. The AWPS method is validated in a case study, and the results show that the AWPS can effectively package production tasks while reducing costs by 1.28%-16.25% compared with traditional task-organizing methods.
Keywords:
Work package
Modular construction
Cost management
Dynamic programming

Journal

Automation in Construction cover
Automation in Construction
IF:
11.5
Papers:
6.2K
Citations:
4.2W

Organization

U
University of Hong Kong
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4.1W
Papers: 3.9W
Citations: 10.1W
S
shenzhen institute of advanced technology, cas
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5.6K
Papers: 4.5K
Citations: 7
C
chinese academy of sciences
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56.3W
Papers: 44.8W
Citations: 704
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