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In this article we present an industrial application of our mathematical model that integrates planning and scheduling. Our main objective is to concretize our model and compare the reel results with the theoretical ones. Our application is realized on a conditioning line of pharmaceutical products at the ECAM EPMI production laboratory. For this reason and to save time, we used Witness simulation tool. It gives an overall idea of how the line works, the Makespan of each simulation and it highlights areas for improvement. We looked for the best resulting sequence which corresponds to the minest Makespan and total production cost. Then this sequence is applied on the conditioning line of pharmaceutical products for simulation. On the other hand, we program our mathematical model with the parameters of the conditioning line under python in version 3.6 and we adopt a simulation/optimization coupling approach to verify our model.
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3--10
Opis fizyczny
Bibliogr. 15 poz., rys., tab., zdj.
Twórcy
- Mechanical Engineering Laboratory, Faculty of Science and Techniques, Sidi Mohammed Ben Abdellah University, B.P. 2202 – Route d’Imouzzer – FEZ, Morocco
autor
- Mechanical Engineering Laboratory, Faculty of Science and Techniques, Sidi Mohammed Ben Abdellah University, Morocco
autor
- ECAM-EPMI, Franc
autor
- Mechanical Engineering Laboratory, Faculty of Science and Techniques, Sidi Mohammed Ben Abdellah University, Morocco
autor
- ECAM-EPMI, France
Bibliografia
- [1] Sugimura N., Hino R., Moriwaki T., Integrated process planning and scheduling in holonic manufacturing systems, IEEE International Symposium on Assembly and Task Planning Soft Research, in Proceedings, Park, Fukuoka, Japan, 4, 250–254, 2001.
- [2] Sugimura N., Shrestha R., Tanimizu Y., Iwamura K., A study on integrated process planning and scheduling system for holonic manufacturing, Process Planning and Scheduling for Distributed Manufacturing, Springer, London, UK, pp. 311–334, 2006.
- [3] Li X., Gao L., Zhang C., Shao X., A review on Integrated Process Planning and Scheduling, Int. J. Manufacturing Research, 5, 2, 161–180, 2010.
- [4] Wang L., Shen W., Process Planning and Scheduling for Distributed, Manufacturing, Springer-Verlag London Limited, London, UK, 2007.
- [5] Shobrys D.E., White D.C., Planning, scheduling and control systems: Why can’t they work together?, Computers & Chemical Engineering, 26(2), 149– 160, 2002.
- [6] Hassani Z.I.M. et al., Models for Solving Integrated Planning and Scheduling Problem: Computational Comparison,InternationalJournalofEngineering Research in Africa, 34, 161–170, 2018.
- [7] Maravelias C.T., Sung C., Integration of production planning and scheduling: Overview, challenges and opportunities, Computers and Chemical Engineering, 33, 12, 1919–1930, 2009.
- [8] Hassani Z.I.M. et al., New Approach to Integrate Planning and Scheduling of Production System: Heuristic Resolution, International Journal of Engineering Research in Africa, 39, 156–169, 2018.
- [9] Wolosewicz C., Integrated Approach to Planning and Production Scheduling, Doctoral Thesis at the National Higher School of Mines, Saint Etienne, France, 2008.
- [10] Gomez Urrutia E.D., Integrated optimization of planning and scheduling decisions in a logistics chain, Saint Etienne: Doctoral Thesis at the National Higher School of Mines, Specialty: Industrial Engineering, 2014.
- [11] Dauzère-Pérès S., Lasserre J., On the importance of sequencing decisions in production planning and scheduling, International Transactions in Operational Research, 1, 779–793, 2002.
- [12] Gómez Urrutia E.D., Aggoune R., Dauzère-Pérès S., New integrated method to solve the problem of planning and scheduling, 13th Congress of the French Society for Operational Research and Decision Support – ROADEF, Apr, Angers, France, pp. 239–240, 2012.
- [13] Markt L.P., Mayer M.H., Witness simulation software a flexible suite of simulation tools, Proceedings of the 1997 Winter Simulation Conference.
- [14] Dupláková D., Telišková M., Török J., Paulišin D., Birčák J., Application of Simulation Software in the Production Process of Milled Parts, SAR Journal, 1, 2. 42–46, 2018, doi: 10.18421/SAR12-02.
- [15] Gore Kumkum A., Jalwadi S.N., Natarajan S., Systematic efficiency improvement by optimizing the assembly line using witness simulation software, Proceedings of 4th RIT Post Graduates Conference (RIT PG Con-18).
Uwagi
Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2020).
Typ dokumentu
Bibliografia
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