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Site Management of Work-in-Process Buffers to Enhance Project Performance Using the Reliable Commitment Model: Case Study
Authors:Vicente González  Luis Fernando Alarcón  Sergio Maturana  José Antonio Bustamante
Affiliation:1Lecturer, Dept. of Civil and Environmental Engineering, Univ. of Auckland, Private Bag 92019, Auckland 1142, New Zealand (corresponding author). E-mail: v.gonzalez@auckland.ac.nz
2Professor, Dept. of Construction, Engineering, and Management, Pontificia Universidad Católica de Chile, Casilla 306, Correo 22, Santiago, Chile. E-mail: lAlarcón@ing.puc.cl
3Professor, Dept. of Industrial and Systems Engineering, Pontificia Universidad Católica de Chile, Casilla 306, Correo 22, Santiago, Chile. E-mail: smaturan@ing.puc.cl
4Planning and Development Engineer, Socovesa, Santiago, Chile. E-mail: jabustamante@socovesa.cl
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.
Keywords:Construction management  Productivity  Lean construction  Case studies  Decision making  
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