Proactive project scheduling in an R&D department: a bi-objective genetic algorithm

Çapa, Canan and Ulusoy, Gündüz (2015) Proactive project scheduling in an R&D department: a bi-objective genetic algorithm. In: International Conference on Industrial Engineering and Operations Management (IEOM 2015), Dubai, United Arap Emirates

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In this paper, we present part of a study on stochastic, dynamic project scheduling in an R&D Department of a leading home appliances company in Turkey. The problem under consideration is the preemptive resource constrained multi-project scheduling problem with generalized precedence relations in a stochastic and dynamic environment. The model consists of three phases. Phase I of the model provides a systematic approach to assess uncertainty resulting in activity deviation distributions. In Phase II, proactive project scheduling is accomplished through two different scheduling approaches,which employ a bi-objective genetic algorithm. Phase III is the reactive project scheduling phase aiming at rescheduling the disrupted project activities. Here, we will limit our presentation to Phase II – the proactive project scheduling phase. The procedure is demonstrated through an implementation with real data covering 37 R&D projects. Computational study is performed to compare the two different scheduling approaches called single and multi-project scheduling approaches, as well as two different chromosome evaluation heuristics. Results are presented and discussed.
Item Type: Papers in Conference Proceedings
Uncontrolled Keywords: Proactive project scheduling, multi-objective genetic algorithm, R&D
Subjects: T Technology > T Technology (General) > T055.4-60.8 Industrial engineering. Management engineering
Divisions: Faculty of Engineering and Natural Sciences > Academic programs > Industrial Engineering
Faculty of Engineering and Natural Sciences
Depositing User: Gündüz Ulusoy
Date Deposited: 15 Nov 2015 21:54
Last Modified: 26 Apr 2022 09:19

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