Abstract
Some industrial problems lack of statistical information, so third party information (experts, surveys, etc) is often used for planning. This chapter presents a method for simulating a production planning scenario where tasks have no probabilistic execution times, using experts opinions. We use fuzzy execution times to simulate the mean flow time of the system under non-probabilistic uncertainty.
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Acknowledgements
The authors would like to thank to Prof. Miguel Melgarejo and Prof. José Jairo Soriano for their invaluable discussion around all topics treated in this chapter, and a special thanks is given to all members of the LAMIC Research Group.
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Appendix
Appendix
In this appendix we present the results of MFT\(_i\) and PT\(_i\) and the results of 1000 runs of the simulation model (Figs. 4, 5, 6, 7 and 8).
MFT for \(P_2, P_3, P_4, P_5\)
PT for \(P_2, P_3, P_4, P_5\)
MFT as time series for \(P_2, P_3, P_4, P_5\)
PT as time series for \(P_2, P_3, P_4, P_5\)
WT as time series for \(P_2, P_3, P_4, P_5\)
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Carlos Figueroa-García, J., López-Santana, ER., Hernández-Pérez, GJ. (2019). Uncertain Production Planning Using Fuzzy Simulation. In: Bello, R., Falcon, R., Verdegay, J. (eds) Uncertainty Management with Fuzzy and Rough Sets. Studies in Fuzziness and Soft Computing, vol 377. Springer, Cham. https://doi.org/10.1007/978-3-030-10463-4_4
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DOI: https://doi.org/10.1007/978-3-030-10463-4_4
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