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    Fuzzy Linear and Repetitive Scheduling for Construction Projects

    Source: Journal of Construction Engineering and Management:;2021:;Volume ( 147 ):;issue: 003::page 04021002-1
    Author:
    Clara Mariana Katsuragawa
    ,
    Gunnar Lucko
    ,
    Shabtai Isaac
    ,
    Yi Su
    DOI: 10.1061/(ASCE)CO.1943-7862.0001996
    Publisher: ASCE
    Abstract: Unavoidable risks that cause uncertainty within activity durations should be modeled to gain realism in scheduling. While approaches exist for one-dimensional network schedules, two-dimensional linear and repetitive schedules that track both work and time lack such a method. Fuzzy logic can express variability by modeling optimistic, realistic, and pessimistic cases, which, in this study, form a cone of expected activity durations. Previous studies attempted to apply it to linear and repetitive schedules but suffered from inconsistencies that rendered their results incorrect. Therefore, this research proposes a new fuzzy scheduling method. Its contribution is threefold. First, it models linear or segmental activities as continuous yet flexible fuzzy cones. Second, it explicitly expresses continuous buffers in both the time and work/space dimensions to compose an efficient schedule from such inputs. Third, it identifies their full or partial fuzzy criticality and fuzzy float so that managers can split their attention accordingly. It is illustrated by a validation example, which also explains prior inconsistencies. The industry thus gains a new method that considers uncertainty to generate stable and efficient schedules.
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      Fuzzy Linear and Repetitive Scheduling for Construction Projects

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4270969
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    contributor authorClara Mariana Katsuragawa
    contributor authorGunnar Lucko
    contributor authorShabtai Isaac
    contributor authorYi Su
    date accessioned2022-02-01T00:08:02Z
    date available2022-02-01T00:08:02Z
    date issued3/1/2021
    identifier other%28ASCE%29CO.1943-7862.0001996.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4270969
    description abstractUnavoidable risks that cause uncertainty within activity durations should be modeled to gain realism in scheduling. While approaches exist for one-dimensional network schedules, two-dimensional linear and repetitive schedules that track both work and time lack such a method. Fuzzy logic can express variability by modeling optimistic, realistic, and pessimistic cases, which, in this study, form a cone of expected activity durations. Previous studies attempted to apply it to linear and repetitive schedules but suffered from inconsistencies that rendered their results incorrect. Therefore, this research proposes a new fuzzy scheduling method. Its contribution is threefold. First, it models linear or segmental activities as continuous yet flexible fuzzy cones. Second, it explicitly expresses continuous buffers in both the time and work/space dimensions to compose an efficient schedule from such inputs. Third, it identifies their full or partial fuzzy criticality and fuzzy float so that managers can split their attention accordingly. It is illustrated by a validation example, which also explains prior inconsistencies. The industry thus gains a new method that considers uncertainty to generate stable and efficient schedules.
    publisherASCE
    titleFuzzy Linear and Repetitive Scheduling for Construction Projects
    typeJournal Paper
    journal volume147
    journal issue3
    journal titleJournal of Construction Engineering and Management
    identifier doi10.1061/(ASCE)CO.1943-7862.0001996
    journal fristpage04021002-1
    journal lastpage04021002-13
    page13
    treeJournal of Construction Engineering and Management:;2021:;Volume ( 147 ):;issue: 003
    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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