A bi-objective genetic algorithm approach to risk mitigation in project scheduling

Kılıç, Murat and Ulusoy, Gündüz and Sivrikaya Şerifoğlu, Funda (2008) A bi-objective genetic algorithm approach to risk mitigation in project scheduling. International Journal of Production Economics, 112 (issue 1). pp. 202-216. ISSN 0925-5273

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Official URL: http://dx.doi.org/10.1016/j.ijpe.2006.08.027


A problem of risk mitigation in project scheduling is formulated as a bi-objective optimization problem, where the expected makespan and the expected total cost are both to be minimized. The expected total cost is the sum of four cost components: overhead cost, activity execution cost, cost of reducing risks and penalty cost for tardiness. Risks for activities are predefined. For each risk at an activity, various levels are defined, which correspond to the results of different preventive measures. Only those risks with a probable impact on the duration of the related activity are considered here. Impacts of risks are not only accounted for through the expected makespan but are also translated into cost and thus have an impact on the expected total cost. An MIP model and a heuristic solution approach based on genetic algorithms (GAs) is proposed. The experiments conducted indicate that GAs provide a fast and effective solution approach to the problem. For smaller problems, the results obtained by the GA are very good. For larger problems, there is room for improvement.

Item Type:Article
Uncontrolled Keywords:project scheduling; risk; multiobjective optimization; genetic algorithms
ID Code:10940
Deposited By:Gündüz Ulusoy
Deposited On:16 Dec 2008 15:18
Last Modified:22 Jul 2019 12:08

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