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    Key Last Planner System Metrics to Assess Project Performance in High-Rise Building and Industrial Construction Projects

    Source: Journal of Construction Engineering and Management:;2021:;Volume ( 148 ):;issue: 001::page 04021179
    Author:
    Daniel Pérez
    ,
    Camilo Lagos
    ,
    Luis Fernando Alarcón
    DOI: 10.1061/(ASCE)CO.1943-7862.0002209
    Publisher: ASCE
    Abstract: The Last Planner System (LPS) establishes short cycles of planning and control, comprising LP, the make-ready process, short-term planning commitments, identifying reasons for noncompletion, and implementing corrective actions. Most LPS research has covered longitudinal case studies, but quantitative transversal research is needed to determine the impact of key LPS processes in performance. The researchers aimed to determine the relationships between LPS components and project performance. Twenty three metrics were established to evaluate six components and 253 possible correlations between them. The authors assessed information from 255 projects and found 131 projects, in five categories, with sufficient information to construct the metrics. Two categories had sufficient sample sizes, which produced a sample of 71 high-rise building (HR) and 28 industrial construction (IC) projects. Each sample was assessed separately to test the correlations, and the project categories were compared to determine statistically significant differences. Then, the projects were classified according to their schedule performance outcome, using a clustering algorithm to find differences between high- and low-performance projects. Statistically significant correlations between the six components were found in both samples, six metrics presented statistically significant differences between high and low performance in HR projects and one in IC projects.
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      Key Last Planner System Metrics to Assess Project Performance in High-Rise Building and Industrial Construction Projects

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4283012
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    contributor authorDaniel Pérez
    contributor authorCamilo Lagos
    contributor authorLuis Fernando Alarcón
    date accessioned2022-05-07T20:52:12Z
    date available2022-05-07T20:52:12Z
    date issued2021-10-22
    identifier other(ASCE)CO.1943-7862.0002209.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4283012
    description abstractThe Last Planner System (LPS) establishes short cycles of planning and control, comprising LP, the make-ready process, short-term planning commitments, identifying reasons for noncompletion, and implementing corrective actions. Most LPS research has covered longitudinal case studies, but quantitative transversal research is needed to determine the impact of key LPS processes in performance. The researchers aimed to determine the relationships between LPS components and project performance. Twenty three metrics were established to evaluate six components and 253 possible correlations between them. The authors assessed information from 255 projects and found 131 projects, in five categories, with sufficient information to construct the metrics. Two categories had sufficient sample sizes, which produced a sample of 71 high-rise building (HR) and 28 industrial construction (IC) projects. Each sample was assessed separately to test the correlations, and the project categories were compared to determine statistically significant differences. Then, the projects were classified according to their schedule performance outcome, using a clustering algorithm to find differences between high- and low-performance projects. Statistically significant correlations between the six components were found in both samples, six metrics presented statistically significant differences between high and low performance in HR projects and one in IC projects.
    publisherASCE
    titleKey Last Planner System Metrics to Assess Project Performance in High-Rise Building and Industrial Construction Projects
    typeJournal Paper
    journal volume148
    journal issue1
    journal titleJournal of Construction Engineering and Management
    identifier doi10.1061/(ASCE)CO.1943-7862.0002209
    journal fristpage04021179
    journal lastpage04021179-14
    page14
    treeJournal of Construction Engineering and Management:;2021:;Volume ( 148 ):;issue: 001
    contenttypeFulltext
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