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contributor authorYi Yang
contributor authorMi Pan
contributor authorWei Pan
date accessioned2022-05-07T20:56:00Z
date available2022-05-07T20:56:00Z
date issued2022-03-30
identifier other(ASCE)CO.1943-7862.0002280.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4283086
description abstractBy maximizing offsite work and minimizing onsite activities, modular construction has become increasingly popular in high-rise, high-density cities. For successfully delivering high-rise modular buildings, a key issue is the effective scheduling of offsite logistics, consisting of module manufacturing, transportation, and storage. This paper proposes an integrated offsite logistics scheduling approach for high-rise modular building projects that addresses project-specific constraints and uncertainties, based on the stochastic Petri net (SPN) method. The proposed approach supports multi-criteria decision-making, that considers completion time, total cost, storage capacity utilization, and production process stability under what-if scenarios. Its efficacy and novelty for offsite logistics scheduling were demonstrated through a real-life project case study. The results indicate the need to (1) strengthen suppliers’ demand responsiveness by shortening module production time; (2) enhance manufacturing flexibility by increasing factory storage utilization; (3) improve supply chain synchronization; and (4) capitalize on the government’s role in offsite logistics enhancement. The findings methodologically innovate offsite logistics scheduling, and practically support contractors and module suppliers in successfully delivering high-rise modular building projects in high-density cities.
publisherASCE
titleIntegrated Offsite Logistics Scheduling Approach for High-Rise Modular Building Projects
typeJournal Paper
journal volume148
journal issue6
journal titleJournal of Construction Engineering and Management
identifier doi10.1061/(ASCE)CO.1943-7862.0002280
journal fristpage04022032
journal lastpage04022032-16
page16
treeJournal of Construction Engineering and Management:;2022:;Volume ( 148 ):;issue: 006
contenttypeFulltext


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