Abstract
Classical models of resource-constrained project scheduling (RCPS) problems are very often not adequate to real world problems. For this reason, the classical RCPS models have been extended to deal with multiple-category resources (Węglarz, 1980), multiple performing modes of activities (Patterson et al., 1990) and multiple project performance measures (Słowiński, 1981, 1989). Another realistic aspect of project scheduling is uncertainty of activity time parameters. Many stochastic approaches to solving RCPS problems under uncertainty have been proposed (e.g. Loostma, 1966, 1989; Elmaghraby, 1967; Gaul, 1981). However, the use of new techniques and methodologies in many projects decreases the relevance of past experience. It is obvious that the lack of historical data does not allow for stochastic approach.
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Hapke, M., Jaszkiewicz, A., Słowiński, R. (1999). Fuzzy Multi-Mode Resource-Constrained Project Scheduling with multiple Objectives. In: Węglarz, J. (eds) Project Scheduling. International Series in Operations Research & Management Science, vol 14. Springer, Boston, MA. https://doi.org/10.1007/978-1-4615-5533-9_16
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DOI: https://doi.org/10.1007/978-1-4615-5533-9_16
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