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    A Constrained Planning Method: Considering Storage Space Limitations and Soft Logic for Cruise Cabin Assembly Scheduling

    Source: Journal of Construction Engineering and Management:;2025:;Volume ( 151 ):;issue: 008::page 04025102-1
    Author:
    Jinghua Li
    ,
    Wenhao Huang
    ,
    Dening Song
    ,
    Lei Zhou
    ,
    Boxin Yang
    DOI: 10.1061/JCEMD4.COENG-16431
    Publisher: American Society of Civil Engineers
    Abstract: The scheduling issues of repetitive projects such as high-rise buildings and houses have always focused on the research of project duration, costs, and personnel, while the temporary storage and transportation issues at construction sites are often overlooked. The cruise cabin assembly project exemplifies a repetitive project characterized by limited construction space. In such projects, when the process is amenable to soft logic, the construction sequences of subprocesses across all units can be modified without restriction, and various processes may be conducted concurrently, provided that the requisite resource conditions are satisfied. This paper introduces a flexible repetitive scheduling model, designated as CP-SLCRSOM, which incorporates storage space limitations and soft logic into the time-cost trade-off of the cruise cabin assembly project. This model, while thoroughly considering critical resource constraints such as material storage capacity and workforce allocation, facilitates the parallel execution of processes across different units and employs constraint programming to identify optimal or feasible solutions. The model’s efficacy is substantiated through case studies and comparisons with solutions derived from mixed-integer linear programming models.
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      A Constrained Planning Method: Considering Storage Space Limitations and Soft Logic for Cruise Cabin Assembly Scheduling

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4307306
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    contributor authorJinghua Li
    contributor authorWenhao Huang
    contributor authorDening Song
    contributor authorLei Zhou
    contributor authorBoxin Yang
    date accessioned2025-08-17T22:41:37Z
    date available2025-08-17T22:41:37Z
    date copyright8/1/2025 12:00:00 AM
    date issued2025
    identifier otherJCEMD4.COENG-16431.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4307306
    description abstractThe scheduling issues of repetitive projects such as high-rise buildings and houses have always focused on the research of project duration, costs, and personnel, while the temporary storage and transportation issues at construction sites are often overlooked. The cruise cabin assembly project exemplifies a repetitive project characterized by limited construction space. In such projects, when the process is amenable to soft logic, the construction sequences of subprocesses across all units can be modified without restriction, and various processes may be conducted concurrently, provided that the requisite resource conditions are satisfied. This paper introduces a flexible repetitive scheduling model, designated as CP-SLCRSOM, which incorporates storage space limitations and soft logic into the time-cost trade-off of the cruise cabin assembly project. This model, while thoroughly considering critical resource constraints such as material storage capacity and workforce allocation, facilitates the parallel execution of processes across different units and employs constraint programming to identify optimal or feasible solutions. The model’s efficacy is substantiated through case studies and comparisons with solutions derived from mixed-integer linear programming models.
    publisherAmerican Society of Civil Engineers
    titleA Constrained Planning Method: Considering Storage Space Limitations and Soft Logic for Cruise Cabin Assembly Scheduling
    typeJournal Article
    journal volume151
    journal issue8
    journal titleJournal of Construction Engineering and Management
    identifier doi10.1061/JCEMD4.COENG-16431
    journal fristpage04025102-1
    journal lastpage04025102-14
    page14
    treeJournal of Construction Engineering and Management:;2025:;Volume ( 151 ):;issue: 008
    contenttypeFulltext
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