TY - CONF TI - Graphical Analysis on Non-Conformances of Construction Production Processes: Ongoing Research and Case Study C1 - Santiago, Chile C3 - 14th Annual Conference of the International Group for Lean Construction SP - 393 EP - 405 PY - 2006 AU - Wu, Jianfeng AU - Soibelman, Lucio AD - PhD Student and Research Assistant, Civil and Env. Engineering, Carnegie Mellon University, 5000 Forbes Avenue, Pittsburgh, PA 15213, USA, Phone +1 412/268-6126, jianfen1@andrew.cmu.edu AD - Associate Professor, Civil and Env. Engineering., Carnegie Mellon University, 5000 Forbes Avenue, Pittsburgh, PA 15213, USA, Phone +1 412/268-2952, FAX +1 412/268-7813, lucio@andrew.cmu.edu AB - The Last Plannerâ„¢ system of production control, based on lean construction principles, has been broadly and successfully implemented in several projects over the past years. Its focus on work plan realization is useful in helping project management teams identify main problems that constrain the timely completion of individual activities, and decrease possible variability. However, potential problems in designs of production processes, which also contribute to risks and variability during their implementations, have been seldom studied and could be only learned and used by human planners in a subjective and implicit manner. In this paper, a research approach is detailed to address this problem by creating a generic and concise data representation for networks of construction production processes in support of graphical analysis and pattern recognition. As a part of this ongoing research, a case study is presented with preliminary results, which were obtained by applying the research approach on a Last Plannerâ„¢ database of production control from a large capital facility project. Networks of production processes were analyzed by comparing type descriptions of the original plans and their actual performance. Interesting and statistically valid patterns were recognized in this study, such as correlations between the topology of a work plan and its probability of having non-completions during implementation. Such objective and explicit patterns could help project managers better understand potential problems in original designs of construction processes, and make informed decisions to decrease corresponding variability and increase reliability in planning and control. KW - Graphical analysis KW - production processes KW - pattern recognition KW - knowledge discovery PB - T2 - 14th Annual Conference of the International Group for Lean Construction DA - 2006/01/01 CY - Santiago, Chile L1 - http://iglc.net/Papers/Details/451/pdf L2 - http://iglc.net/Papers/Details/451 N1 - Export Date: 28 March 2024 DB - IGLC.net DP - IGLC LA - English ER -