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    Method to Assess the Match between Clients’ Input and Decoupling Points in Customized Building Projects

    Source: Journal of Construction Engineering and Management:;2018:;Volume ( 144 ):;issue: 005
    Author:
    Rocha Cecilia Gravina da;Anzanello Michel José;Gerchman Marcos
    DOI: 10.1061/(ASCE)CO.1943-7862.0001453
    Publisher: American Society of Civil Engineers
    Abstract: Clients’ input (i.e., design drawings and specifications containing clients’ desired changes) is a key resource for task completion often missing in customized building projects, leading to waste such as additional movement, increase in work in progress, rework, stoppages, and delays. Such waste can be potentially reduced by postponing the moment in which such input is first needed [i.e., the decoupling point (DP)]. This paper proposes a simulation-based method to quantify the probability of having clients’ input according to production plans using the line-of-balance technique. The method is applied to two sets of plans to assess the effect of four variables (cycle time, batch size, work structure, and construction start time) on such probabilities. Work structure and construction start time were found to be the main variables affecting such probabilities. Nonetheless, preliminary results (considering a uniform probability distribution for clients’ input) indicate a minimal probability of having clients’ input according to production plans even for the most favorable plan (late construction start, DP in the last work package, short cycle time, and large batch size). This means that altering these variables is not sufficient to ensure the availability of clients’ input and other approaches are needed to support a good flow.
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      Method to Assess the Match between Clients’ Input and Decoupling Points in Customized Building Projects

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    https://yetl.yabesh.ir/yetl1/handle/yetl/4250317
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    contributor authorRocha Cecilia Gravina da;Anzanello Michel José;Gerchman Marcos
    date accessioned2019-02-26T07:55:34Z
    date available2019-02-26T07:55:34Z
    date issued2018
    identifier other%28ASCE%29CO.1943-7862.0001453.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4250317
    description abstractClients’ input (i.e., design drawings and specifications containing clients’ desired changes) is a key resource for task completion often missing in customized building projects, leading to waste such as additional movement, increase in work in progress, rework, stoppages, and delays. Such waste can be potentially reduced by postponing the moment in which such input is first needed [i.e., the decoupling point (DP)]. This paper proposes a simulation-based method to quantify the probability of having clients’ input according to production plans using the line-of-balance technique. The method is applied to two sets of plans to assess the effect of four variables (cycle time, batch size, work structure, and construction start time) on such probabilities. Work structure and construction start time were found to be the main variables affecting such probabilities. Nonetheless, preliminary results (considering a uniform probability distribution for clients’ input) indicate a minimal probability of having clients’ input according to production plans even for the most favorable plan (late construction start, DP in the last work package, short cycle time, and large batch size). This means that altering these variables is not sufficient to ensure the availability of clients’ input and other approaches are needed to support a good flow.
    publisherAmerican Society of Civil Engineers
    titleMethod to Assess the Match between Clients’ Input and Decoupling Points in Customized Building Projects
    typeJournal Paper
    journal volume144
    journal issue5
    journal titleJournal of Construction Engineering and Management
    identifier doi10.1061/(ASCE)CO.1943-7862.0001453
    page4018018
    treeJournal of Construction Engineering and Management:;2018:;Volume ( 144 ):;issue: 005
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
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