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Technical University of Crete
Technical University of Crete
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| URI | http://purl.tuc.gr/dl/dias/F5FC4668-DAEE-4B81-A8AE-1D8355DDD70D | - |
| Identifier | https://ieeexplore.ieee.org/document/7535902/ | - |
| Identifier | https://doi.org/10.1109/MED.2016.7535902 | - |
| Language | en | - |
| Extent | 6 pages | en |
| Title | PN modelling, simulation, performance evaluation and production forecast of a tanning industry | en |
| Creator | Vrontakis Konstantinos | en |
| Creator | Βροντακης Κωνσταντινος | el |
| Creator | Kabianakis Andreas | en |
| Creator | Καμπιανακης Ανδρεας | el |
| Creator | Tsinarakis Georgios | en |
| Creator | Τσιναρακης Γεωργιος | el |
| Publisher | Institute of Electrical and Electronics Engineers | en |
| Content Summary | In this paper a Petri Net (PN) based methodology for modelling, simulation, performance evaluation and production forecast of a tanning industry processing 5 leather types is presented. The Petri net models of the production procedures are built and simulated in order to calculate specific performance measures. Then exponential smoothing method is applied in order to forecast the overall demand of the upcoming year for each product type. Finally, a scenario concerning partial change of the equipment efficiency is tested and the results obtained are compared to the ones of the initial model. | en |
| Type of Item | Πλήρης Δημοσίευση σε Συνέδριο | el |
| Type of Item | Conference Full Paper | en |
| License | http://creativecommons.org/licenses/by/4.0/ | en |
| Date of Item | 2018-10-03 | - |
| Date of Publication | 2016 | - |
| Subject | Production | en |
| Subject | Industries | en |
| Subject | Petri nets | en |
| Subject | Smoothing methods | en |
| Subject | Predictive models | en |
| Subject | Raw materials | en |
| Subject | Process control | en |
| Bibliographic Citation | K. E. Vrontakis, A. N. Kampianakis and G. J. Tsinarakis, "PN modelling, simulation, performance evaluation and production forecast of a tanning industry," in 24th Mediterranean Conference on Control and Automation, 2016, pp. 1284-1289. doi: 10.1109/MED.2016.7535902 | en |
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