A methodology for scheduling overlapped design activities based on dependency information |
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| Affiliation: | 1. FIM Research Center, University of Augsburg, Universitaetsstrasse 12, 86159 Augsburg, Germany;2. FIM Research Center, University of Bayreuth, Wittelsbacherring 10, 95444 Bayreuth, Germany;1. Faculty of Economics and Business Administration, Ghent University, Tweekerkenstraat 2, Ghent 9000, Belgium;2. Operations and Technology Management Centre, Vlerick Business School, Reep 1, Ghent 9000, Belgium;3. UCL School of Management, University College London, 1 Canada Square, London E14 5AA, UK;1. Department of Quantitative Methods, University of Pannonia, Egyetem str. 10. Hungary;2. Department of Mathematics, University of Pannonia, Egyetem str. 10. Hungary;1. Department of Quantitative Methods, University of Pannonia, Hungary;2. Department of Mathematics, University of Pannonia, Hungary;1. School of Management, Xi''an Jiaotong University, Xi''an 710049, China;2. School of Management, Northwestern Polytechnical University, Xi''an 710072, China;3. Department of Industrial and Systems Engineering, National University of Singapore, 117576, Singapore |
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| Abstract: | The practice of overlapping activities is becoming a requirement for fast-tracking complex construction projects. The amount, timing, and nature of the information exchanged between pairs of activities determine the degree to which pairs of activities may be overlapped. This paper presents a four-step process for scheduling the design phase of fast-tracked construction projects while taking into consideration information exchange among project activities. The process starts with capturing and quantifying this exchange of dependency information. A contemporary scheduling tool, the dependency structure matrix (DSM), aids in generating the shortest (overlapped) schedule based on dependencies among the different design disciplines. An algorithm is designed to calculate the shortest possible schedule for the design phase of a construction project. The developed scheduling algorithm is unique as it includes information exchange alongside task durations. The algorithm is validated in the context of a real-world case study, a fast-tracked multi-billion dollar educational facility project in the Arabian Peninsula. |
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