Harnessing LPS Metrics for Smarter Resource Allocation and Project Control through Gamification

Question: What is the significance of Last Planner System® (LPS®) metrics in capacity planning and project outcomes? Purpose: This study highlights the vital role of LPS metrics in optimizing resource allocation for improved capacity planning, lookahead scheduling, and waste reduction. Additionally, it showcases the efficacy of simulation-based serious games as an engaging and instructive pedagogical method. Research Method: Simulation-based serious game developed using a discrete-event simulation engine and a user-friendly interface. Findings: This study delineates the differences between individuals exposed to LPS metrics during capacity planning and those without such exposure, and the differences between individuals with and without prior LPS knowledge. Limitations: It’s essential to acknowledge that simulating real project conditions in a game necessitates certain assumptions. Implications: This game can evolve into a valuable educational tool for assessing users’ capacity planning and metric analysis competencies. Multiple versions could also be developed to assess diverse skills vital to project planning and control. Value for practitioners: This paper not only highlights the importance of LPS metrics in capacity and lookahead planning, but also sheds light on the availability of educational and evaluative games. Such games can be embraced by organizations to enhance their current educational and training practices. Keywords: LPS® metrics, capacity planning, resource allocation, serious games Paper type: Full Paper

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Publication Details

Journal
Lean Construction Journal
Published
2024-10-20
DOI
https://doi.org/10.60164/wxshl6tcv
Citations
4
Primary Topic
BIM and Construction Integration
Type
article
Field-Weighted Citation Impact
1.06
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article

Harnessing LPS Metrics for Smarter Resource Allocation and Project Control through Gamification

Lynn Shehab, Zeina Malaeb, Farook Hamzeh
4 citations
Lean Construction Journal
BIM and Construction Integration
1.06
article

Harnessing LPS Metrics for Smarter Resource Allocation and Project Control through Gamification

Lynn Shehab, Zeina Malaeb, Farook Hamzeh
article en
4 citations

Abstract

Question: What is the significance of Last Planner System® (LPS®) metrics in capacity planning and project outcomes? Purpose: This study highlights the vital role of LPS metrics in optimizing resource allocation for improved capacity planning, lookahead scheduling, and waste reduction. Additionally, it showcases the efficacy of simulation-based serious games as an engaging and instructive pedagogical method. Research Method: Simulation-based serious game developed using a discrete-event simulation engine and a user-friendly interface. Findings: This study delineates the differences between individuals exposed to LPS metrics during capacity planning and those without such exposure, and the differences between individuals with and without prior LPS knowledge. Limitations: It’s essential to acknowledge that simulating real project conditions in a game necessitates certain assumptions. Implications: This game can evolve into a valuable educational tool for assessing users’ capacity planning and metric analysis competencies. Multiple versions could also be developed to assess diverse skills vital to project planning and control. Value for practitioners: This paper not only highlights the importance of LPS metrics in capacity and lookahead planning, but also sheds light on the availability of educational and evaluative games. Such games can be embraced by organizations to enhance their current educational and training practices. Keywords: LPS® metrics, capacity planning, resource allocation, serious games Paper type: Full Paper

Lean Construction JournalVol. 2024
Openalex Percentile: Top 24%
BIM and Construction Integration
1.06
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Harnessing LPS Metrics for Smarter Resource Allocation and Project Control through Gamification — Lynn Shehab, Zeina Malaeb, et al. · Lean Construction Journal (2024) | TGRS Research Map | TGRS