Site management of work-in-process buffers to enhance project performance using the reliable commitment model: Case study

Gonzlez, V; Alarcn, L F; Maturana, S and Bustamante, J A (2011) Site management of work-in-process buffers to enhance project performance using the reliable commitment model: Case study. Journal of Construction Engineering and Management, 137(9), pp. 707-715. ISSN 0733-9364

Abstract

Buffers have been commonly used as a production strategy to protect construction processes from the negative impact of variability. Construction practitioners and researchers have proposed several buffering approaches for different production situations and contexts. However, these solutions have been impractical for managing buffers. To overcome this, this study proposes a new site methodology for managing work-in-process (WIP) buffer in repetitive projects, on the basis of the reliable commitment model (RCM). RCM is a decision-making tool based on lean principles, which uses statistical models to develop more reliable work plans at the operational level. RCM helps to manage WIP buffer in work plans by using site information and planning reliability indicators that result in improved project performance, such as labor productivity and process progress. A repetitive building project was used as a case study. The main finding was that labor productivity, process progress, and waiting times improved when using larger WIP buffers than those typically used among crews. This shows the potential of RCM as a practical tool to manage WIP buffer sizes and to promote the use of lean production strategies at the operational level.

Item Type: Article
Uncontrolled Keywords: buffers; labor productivity; lean production; reliable commitment model; repetitive building projects; work-in-process
Index terms: methodology, decision-making, construction process, strategy, commitment, lean production, construction practitioner, site management, project performance, buffer, labour productivity, statistical model, variability, production strategy, repetitive project, case study
Subjects: statistical analysis, building construction, decision analysis, professional development, project management theory and practice, financial risk, production management, research methods, management, manufacturing engineering, data science, construction operations, psychology, data collection methods
Topics: Risk Management, Engineering Principles, Information Management, Research Practice, Project Management, Business Strategy, Cost Management, Site Management, Organizational Design
Descriptive scope: 5 PCTEA

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