Key Last Planner System Metrics to Assess Project Performance in High-Rise Building and Industrial Construction ProjectsSource: Journal of Construction Engineering and Management:;2021:;Volume ( 148 ):;issue: 001::page 04021179DOI: 10.1061/(ASCE)CO.1943-7862.0002209Publisher: 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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| contributor author | Daniel Pérez | |
| contributor author | Camilo Lagos | |
| contributor author | Luis Fernando Alarcón | |
| date accessioned | 2022-05-07T20:52:12Z | |
| date available | 2022-05-07T20:52:12Z | |
| date issued | 2021-10-22 | |
| identifier other | (ASCE)CO.1943-7862.0002209.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4283012 | |
| description 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. | |
| publisher | ASCE | |
| title | Key Last Planner System Metrics to Assess Project Performance in High-Rise Building and Industrial Construction Projects | |
| type | Journal Paper | |
| journal volume | 148 | |
| journal issue | 1 | |
| journal title | Journal of Construction Engineering and Management | |
| identifier doi | 10.1061/(ASCE)CO.1943-7862.0002209 | |
| journal fristpage | 04021179 | |
| journal lastpage | 04021179-14 | |
| page | 14 | |
| tree | Journal of Construction Engineering and Management:;2021:;Volume ( 148 ):;issue: 001 | |
| contenttype | Fulltext |