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    Optimum Assembly Planning for Modular Construction Components

    Source: Journal of Computing in Civil Engineering:;2017:;Volume ( 031 ):;issue: 001
    Author:
    Christopher Rausch
    ,
    Mohammad Nahangi
    ,
    Melanie Perreault
    ,
    Carl T. Haas
    ,
    Jeffrey West
    DOI: 10.1061/(ASCE)CP.1943-5487.0000605
    Publisher: American Society of Civil Engineers
    Abstract: Geometric variability often creates challenges for component aggregation in the assembly of interchangeable components in modular construction. Despite complete interchangeability-based design, geometric variability resulting from production processes creates variances between the as-built states of identical components. This inevitable occurrence of discrepancies between design and fabrication creates challenges for component aggregation on site and causes rework during assembly and erection. This paper presents a framework for optimally planning the order and arrangement of components such that the impacts of geometric variability, and the rework it can cause are minimized. The proposed framework compares the critical interface points of components in order to optimize the assembly plan in two distinct approaches: (1) minimization of the overall assembly geometric deviation, and (2) avoidance of rework caused by component aggregation. The proposed framework can be carried out for serial-parallel assemblies and for volumetric assemblies utilizing the as-built state in the form of three-dimensional (3D) point cloud data. The results of the two case studies in this paper demonstrate that not only can the assembly plan of interchangeable components be optimized to reduce the impacts of geometric variability, but geometric deviations can also be quantified, which is of vital importance for proper construction planning.
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      Optimum Assembly Planning for Modular Construction Components

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    contributor authorChristopher Rausch
    contributor authorMohammad Nahangi
    contributor authorMelanie Perreault
    contributor authorCarl T. Haas
    contributor authorJeffrey West
    date accessioned2017-12-30T13:05:42Z
    date available2017-12-30T13:05:42Z
    date issued2017
    identifier other%28ASCE%29CP.1943-5487.0000605.pdf
    identifier urihttp://138.201.223.254:8080/yetl1/handle/yetl/4245522
    description abstractGeometric variability often creates challenges for component aggregation in the assembly of interchangeable components in modular construction. Despite complete interchangeability-based design, geometric variability resulting from production processes creates variances between the as-built states of identical components. This inevitable occurrence of discrepancies between design and fabrication creates challenges for component aggregation on site and causes rework during assembly and erection. This paper presents a framework for optimally planning the order and arrangement of components such that the impacts of geometric variability, and the rework it can cause are minimized. The proposed framework compares the critical interface points of components in order to optimize the assembly plan in two distinct approaches: (1) minimization of the overall assembly geometric deviation, and (2) avoidance of rework caused by component aggregation. The proposed framework can be carried out for serial-parallel assemblies and for volumetric assemblies utilizing the as-built state in the form of three-dimensional (3D) point cloud data. The results of the two case studies in this paper demonstrate that not only can the assembly plan of interchangeable components be optimized to reduce the impacts of geometric variability, but geometric deviations can also be quantified, which is of vital importance for proper construction planning.
    publisherAmerican Society of Civil Engineers
    titleOptimum Assembly Planning for Modular Construction Components
    typeJournal Paper
    journal volume31
    journal issue1
    journal titleJournal of Computing in Civil Engineering
    identifier doi10.1061/(ASCE)CP.1943-5487.0000605
    page04016039
    treeJournal of Computing in Civil Engineering:;2017:;Volume ( 031 ):;issue: 001
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
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