Key last planner system metrics to assess project performance in high-rise building and industrial construction projects

Pérez, D; Lagos, C and Fernando Alarcón, L (2022) Key last planner system metrics to assess project performance in high-rise building and industrial construction projects. Journal of Construction Engineering and Management, 148(1): 04021179, ISSN 0733-9364

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.

Item Type: Article
Index terms: industrial construction, schedule performance, high-rise building, case study, last planner system, sample size, clustering, commitment, project performance
Subjects: data collection methods, building construction, project controls, construction type, data science, psychology, project management theory and practice, research design and methodology
Topics: Organizational Design, Construction Technology, Project Management, Time Control, Engineering Principles, Research Practice, Digital Applications
Descriptive scope: 4 PCEA

N.B. Descriptive scope is a count of how many of the five facets of empirical research are indicated by the words used in title, abstract and keywords. It is not intended as a judgement on the research; merely a count of the kind of word we would expect to indicate Phenomenon, Concepts, Theoretical framing, Empirical techniques, Analytical techniques. If all five are present, then a code of “5 PCTEA” will indicate this. If you feel the coding for this record is questionable, we welcome discussion around the terms we matched or the way we categorized them. The facet you would expect may not be coded, or a facet may be coded inappropriately. This can also bear on a larger question, of which facets should be treated as defining in construction management research. Please get in touch, and we will look at it. More details here