A three-step approach for decision support in operational production planning of complex manufacturing systems.
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| Title: | A three-step approach for decision support in operational production planning of complex manufacturing systems. |
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| Authors: | Christ, Quentin1,2 (AUTHOR) quentin.christ@st.com, Dauzère-Pérès, Stéphane1,3 (AUTHOR) dauzere-peres@emse.fr, Lepelletier, Guillaume2 (AUTHOR) guillaume.lepelletier@kheoos.com |
| Source: | International Journal of Production Research. Sep2023, Vol. 61 Issue 17, p5860-5885. 26p. 2 Diagrams, 16 Charts, 5 Graphs. |
| Subjects: | Production planning, Manufacturing processes, Semiconductor manufacturing, Decision support systems, Heuristic algorithms, Production quantity, Industrial capacity |
| Abstract: | In this paper, a practical relevant operational production planning problem in complex manufacturing systems is addressed. In this problem, lots are planned individually to provide a more detailed plan than approaches that only consider production quantities. A three-step approach, which is currently fully integrated and used in a Decision Support System, is then introduced. This work follows the one of Mhiri et al. [2018. "Heuristic Algorithm for a WIP Projection Problem at Finite Capacity in Semiconductor Manufacturing." IEEE Transactions on Semiconductor Manufacturing 31 (1): 62–75] who addressed this problem. We push the approach a step further by introducing new optimisation possibilities through new smoothing rules, whose performance is studied according to different indicators. Furthermore, we present the production planning process in which the decision support tool is embedded and how it bridges the gap between the upper and lower planning levels. [ABSTRACT FROM AUTHOR] |
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| Database: | Engineering Source |
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| Abstract: | In this paper, a practical relevant operational production planning problem in complex manufacturing systems is addressed. In this problem, lots are planned individually to provide a more detailed plan than approaches that only consider production quantities. A three-step approach, which is currently fully integrated and used in a Decision Support System, is then introduced. This work follows the one of Mhiri et al. [2018. "Heuristic Algorithm for a WIP Projection Problem at Finite Capacity in Semiconductor Manufacturing." IEEE Transactions on Semiconductor Manufacturing 31 (1): 62–75] who addressed this problem. We push the approach a step further by introducing new optimisation possibilities through new smoothing rules, whose performance is studied according to different indicators. Furthermore, we present the production planning process in which the decision support tool is embedded and how it bridges the gap between the upper and lower planning levels. [ABSTRACT FROM AUTHOR] |
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| ISSN: | 00207543 |
| DOI: | 10.1080/00207543.2022.2118387 |
