Decision theory: an introduction to the mathematics of rationality
Decision theory: an introduction to the mathematics of rationality
Two scheduling problems with fuzzy due-dates
Fuzzy Sets and Systems - Special issue on industrial engineering methods
Fuzzy sets and fuzzy logic: theory and applications
Fuzzy sets and fuzzy logic: theory and applications
Fuzzy priority heuristics for project scheduling
Fuzzy Sets and Systems
Jobshop scheduling with imprecise durations: a fuzzy approach
IEEE Transactions on Fuzzy Systems
New fuzzy models for time-cost trade-off problem
Fuzzy Optimization and Decision Making
A genetic algorithm for solving fuzzy resource-constrained project scheduling
ICNC'05 Proceedings of the First international conference on Advances in Natural Computation - Volume Part III
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The efficient management of product development projects is important to reduce the required development time and cost. However, each project is unique in nature and the duration of activities involed in a project often cannot be predicted accurately. The uncertainty of activity duration may lead to incorrect scheduling decisions. The objective of this research is to develop a fuzzy scheduling methodology to deal with this problem. Possibility theory is used to model the uncertain and flexible temporal information. The concept of schedule risk is proposed to evaluate the schedule performance. A fuzzy beam search algorithm is developed to determine a schedule with the minimum schedule risk and the start time of each activity is selected to maximize the minimum satisfaction degrees of all temporal constraints. In addition, the properties of schedule risk are also discussed. We show that the proposed methodology can assist project managers in selecting a schedule with the least possibility of being late in an uncertain scheduling environment. An example with an electronic product development project is used to illustrate the developed approach.