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**A fuzzy robust scheduling approach for product development projects.**
*(English)*
Zbl 1044.90038

Summary: Efficient scheduling of a product development project is difficult, since a development project is usually unique in nature and high level of design imprecision exists at the early stages of product development. Moreover, risk-averse project managers are often more interested in estimating the risk of a schedule being late over all potential realizations. The objective of this research is to develop a robust scheduling methodology based on fuzzy set theory for uncertain product development projects. The imprecise temporal parameters involved in the project are represented by fuzzy sets. A measure of schedule robustness based on qualitative possibility theory is proposed to guide the search process to determine the robust schedule; i.e., the schedule with the best worst-case performance. A genetic algorithm approach is developed for solving the problem with acceptable performance. An example of electronic product development project is used to illustrate the concept developed.

### MSC:

90B35 | Deterministic scheduling theory in operations research |

03E72 | Theory of fuzzy sets, etc. |

90C59 | Approximation methods and heuristics in mathematical programming |

### Keywords:

Project scheduling; Fuzzy sets; Research and development; Possibility theory; Genetic algorithms
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\textit{J. Wang}, Eur. J. Oper. Res. 152, No. 1, 180--194 (2004; Zbl 1044.90038)

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