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    Integrated Offsite Logistics Scheduling Approach for High-Rise Modular Building Projects

    Source: Journal of Construction Engineering and Management:;2022:;Volume ( 148 ):;issue: 006::page 04022032
    Author:
    Yi Yang
    ,
    Mi Pan
    ,
    Wei Pan
    DOI: 10.1061/(ASCE)CO.1943-7862.0002280
    Publisher: ASCE
    Abstract: By 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.
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      Integrated Offsite Logistics Scheduling Approach for High-Rise Modular Building Projects

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4283086
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    • Journal of Construction Engineering and Management

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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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