Proposed Methodology for Dynamic Schedule Compression

Despite aggressive efforts of project managers to maintain a project schedule or to recover from a lapsed schedule, delays and cost overruns have become routine phenomenon at many construction projects. This research proposes a proactive schedule compression method to reduce the expected project completion time by removing latent lazy time caused by constraints that impose non-value-added effects on project. An additional objective of this research is to develop a systematic environmental model, the dynamic schedule compression model (DSCM), to improve performance against latency and complexities of design and construction projects in schedule compression. Developing and implementing the DSCM model will result in the following research outcomes: optimizing schedule compression concepts and methods to minimize waste and maximize project performance; detecting and eliminating latent lazy time that project has potentially; managing latency caused by schedule compression; understanding of schedule compression frameworks; and developing system dynamics-based schedule compression model.