Effects of the Last Planner System on Social Networks among Construction Trade Crews

Priven, Vitaliy; Sacks, Rafael

doi:10.1061/(asce)co.1943-7862.0000975

Cited by 63 publications

(46 citation statements)

References 20 publications

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“…SNA techniques and software references are becoming increasingly user friendly and more frequently used (Abraham et al 2009). In the construction industry, specific uses of SNA have been published in the past several years (Alarcon et al 2013;Chinowsky et al 2008Chinowsky et al , 2011Priven and Sacks 2015) SNA is considered an appropriate tool for analysing organizations involved in construction projects based on a relational, contextual and holistic approach (Zheng et al 2016).…”

Section: Social Network Analysismentioning

confidence: 99%

Influence of Organizational Characteristics on Construction Project Performance Using Corporate Social Networks

2018

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This exploratory research examines the relationship between project performance and organizational characteristics in construction companies. Nine Chilean construction firms were involved in this study. Key performance indicators (KPIs) were introduced to periodically capture the project performance of 41 projects in these companies. Furthermore, their organizational characteristics were evaluated using social network analysis metrics. A correlation analysis revealed the relationships among four metrics from six social networks and nine KPIs.Significant correlations were found between the density, average degree, diameter and average path length of social networks and the medians and standard deviations of KPIs. The results confirm that a relation exists between high connectivity and short communication paths within the social networks of a construction company and high KPIs of construction project performance. Additionally, high inverse correlations were observed, suggesting that connectivity may be a consequence of poor project results, such as for the accident KPI. The results indicate that high connectivity and closeness inside corporate social networks are not necessarily related to good performance in construction projects. Thus, corporate social networks do not possess an ideal condition that enables optimal company performance in all areas.

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Section: Social Network Analysismentioning

confidence: 99%

Influence of Organizational Characteristics on Construction Project Performance Using Corporate Social Networks

2018

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“…In the architecture, engineering and construction (AEC) industry, the importance of information flow and workflow is well understood (Alarcón et al 2013). Specifically, in construction execution, information flow in projects that use the Last Planner® System is crucial during weekly work planning (WWP) meetings because communication improves project coordination and thus its workflow (Priven and Sacks 2015).…”

Section: Introductionmentioning

confidence: 99%

Exploring the Relationship Among Planning Reliability (PPC), Linguistic Action Indicators and Social Network Metrics

Retamal

Salazar

Herrera

et al. 2020

Proc. 28th Annual Conference of the International Group for Lean Construction (IGLC)

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Research has demonstrated the importance of information flow and workflow in the architecture, engineering and construction (AEC) industry. Through the correct application of the Last Planner® System, the coordination of a project and therefore its workflow has been improved. However, there is still a productivity gap that must be addressed through proper commitment management and good communication. Therefore, the objective of this article is to explore the relationship among planning reliabilityusing percentage plan completed (PPC) measures-linguistic action perspective (LAP) indicators and social network analysis (SNA) metrics in four construction projects that use the Last Planner® System in Chile and Colombia. A future line of research will be to analyze this relationship in conjunction with the main reliability indicators of construction projects through the application of PPC, LAP and SNA in more case studies.

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“…In this colocated space, the emphasis is provided on "behaviours and actions of the team" and "collaborative behaviour and the work they are producing" (LCI 2015). Owing to popularity of Big Room, it has been discussed widely in the lean community, in aspects like purpose, design, benefits, facilitation, visual control, social network and language action (Majava et al 2019;Priven and Sacks 2015;Viana et al 2017). These studies often mention the need for a collective measure for assessing effectiveness of Big Room meetings.…”

Section: Introductionmentioning

confidence: 99%

Quantitative Framework for Measuring Effectiveness of Big Room

Joshi¹,

Jayarajan²,

Vaidyanathan³

et al. 2020

Proc. 28th Annual Conference of the International Group for Lean Construction (IGLC)

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Benefits derived from the conduct of Big Room are well established. At present, the lean practitioners have been focusing on tapping the potential of this technique by systematizing the processes associated with implementation of Big Room. But there has been no quantifiable metrics to measure the same. In this context, this paper reports a study undertaken to develop and implement Big Room Effectiveness Index (BREI) that assesses effectiveness of Big Room. This research study adopted action research approach in the context of an Indian real estate developer. A core group within this developer was formed to steer the initiative of BREI. Based on literature review and interactions within core group, 10 measures for assessing effectiveness of Big Room were identified, which are grouped under four categories: collaboration, look-ahead planning, knowledge building and tools used, and continuous improvement. The framework was codified with some flexibility to provide inputs like parameter weightages and rating of these parameters. The developed BREI was implemented in an ongoing real estate project. The BREI was plotted on a monthly basis and it provided valuable input to participants involved in the Big Room meetings and suggested areas of improvements.

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Effects of the Last Planner System on Social Networks among Construction Trade Crews

Cited by 63 publications

References 20 publications

Influence of Organizational Characteristics on Construction Project Performance Using Corporate Social Networks

Influence of Organizational Characteristics on Construction Project Performance Using Corporate Social Networks

Exploring the Relationship Among Planning Reliability (PPC), Linguistic Action Indicators and Social Network Metrics

Quantitative Framework for Measuring Effectiveness of Big Room

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