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A petri net based methodology for modelling, analysis, demand forecast and optimal planning of batch production systems

Vrontakis Konstantinos, Kampianakis Andreas, Tsinarakis Georgios

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URI: http://purl.tuc.gr/dl/dias/07DA68CE-C4A9-4B36-9849-C21A1C39F895
Year 2017
Type of Item Conference Full Paper
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Bibliographic Citation K. E. Vrontakis, A. N. Kampianakis and G. J. Tsinarakis, "A petri net based methodology for modelling, analysis, demand forecast and optimal planning of batch production systems," in 2016 IEEE International Conference on Systems, Man, and Cybernetics, 2017, pp. 1136-1141. doi: 10.1109/SMC.2016.7844395 https://doi.org/10.1109/SMC.2016.7844395
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Summary

A methodology for optimal production planning of an industry, processing multiple raw material types, is presented. Petri net modeling of production procedures, combined with stochastic forecast of upcoming demand, produce necessary input for a Mixed Integer Linear Problem (MILP) that calculates optimal production timeline according to various constraints. The methodology is developed for batch production systems with resource sharing between different types of final products, and is applied to a real case study system.

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