TY - CONF TI - Rational Commitment Model: Improving Planning Reliability and Project Performance C1 - Taipei, Taiwan C3 - 17th Annual Conference of the International Group for Lean Construction SP - 207 EP - 218 PY - 2009 AU - Gonzalez, Vicente AU - Alarcon, Luis Fernando AU - Maturana, Sergio AU - Mundaca, Fernando AU - Bustamante, Jose Antonio AD - Postdoctoral Fellow, Escuela de Ingeniería, Pontificia Universidad Católica de Chile, Santiago, Chile. Lecturer, Escuela de Ingeniería de la Construcción, Universidad de Valparaíso, Chile. E-Mail: vagonzag@uc.cl AD - Professor of Civil Engineering, Escuela de Ingeniería, Pontificia Universidad Católica de Chile, Santiago, Chile. E-Mail: lalarcon@ing.puc.cl AD - Professor of Industrial Engineering, School of Engineering, Pontificia Universidad Católica de Chile, Santiago, Chile. E-Mail: smaturan@ing.puc.cl AD - Well Engineer, Integrated Project Management - Schlumberger. E-Mail: mundaca@slb.com AD - Planning and Development Engineer, Socovesa, Santiago, Chile. E-Mail: jabustamante@socovesa.cl ED - Cuperus, Ype ED - Hirota, Ercilia Hitomi AB - Reliability of planning commitments at operational level is one of the key factors to improve project performance. The Last Planner System (LPSTM) is a tool designed to improve planning reliability in construction industry, however, the improvements in planning reliability are often limited due to the fact that the decision-making processes in construction, including those related to planning commitments, are mainly based on experience and intuition. The Rational Commitment Model (RCM) presented in this paper is a tool that helps to overcome this situation by introducing decision-making aids based on analysis of field data, which allows developing more reliable planning commitments using statistical models. RCM allows forecasting planning commitments for short term-periods using field production data such as labor available, buffer size, and planned progress. Several case studies have demonstrated the RCM forecasting capabilities and its practical use to improve reliability of planning commitments and project performance. The RCM also contributes to solve the well-known workloadcapacity problem and provides useful insight into lean production performance issues. KW - Lean Production KW - Rational Commitment Model KW - Planning Reliability KW - Statistical Models. PB - T2 - 17th Annual Conference of the International Group for Lean Construction DA - 2009/07/15 CY - Taipei, Taiwan L1 - http://iglc.net/Papers/Details/639/pdf L2 - http://iglc.net/Papers/Details/639 N1 - Export Date: 28 March 2024 DB - IGLC.net DP - IGLC LA - English ER -