Abstract
We consider the open shop scheduling problem with uncertain durations modelled as fuzzy numbers. We define the concepts of necessary and possible β-robustness of schedules and set as our goal to maximise them. Additionally, we propose to assess solution robustness by means of Monte Carlo simulations. Experimental results using a genetic algorithm illustrate the proposals.
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Palacios, J.J., González-Rodríguez, I., Vela, C.R., Puente Peinador, J. (2014). β-Robust Solutions for the Fuzzy Open Shop Scheduling. In: Laurent, A., Strauss, O., Bouchon-Meunier, B., Yager, R.R. (eds) Information Processing and Management of Uncertainty in Knowledge-Based Systems. IPMU 2014. Communications in Computer and Information Science, vol 442. Springer, Cham. https://doi.org/10.1007/978-3-319-08795-5_46
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DOI: https://doi.org/10.1007/978-3-319-08795-5_46
Publisher Name: Springer, Cham
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