Abstract
The objective of this paper is to present a literature review about research carried out in recent years on the various approximate production optimization methods applied to the different industrial cases while guaranteeing approximate optimal solutions to conduct all the operations in minimal time and at a reasonable cost. The complexity of the production process manifests in the fact of following, understanding and optimizing the flow of the production in order to stay competitive in the market, it is important to consider the line as a whole and to link all the information together. For this, it is necessary to develop an intelligent system capable of taking into account an almost infinite number of variables with the power of machine learning algorithms to explore all the research space solution. In this article we will address several production optimization situations where each researcher uses a different method to optimize production, for example we find researchers who optimize production planning, and there are others who optimize stocks, while others optimize production capacity etc. The most important thing is to have an idea on the existing methods leading the industrialists to improve the efficiency of the production.
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Habbadi, S., Herrou, B., Sekkat, S., Khadiri, H. (2022). Optimization of Production: Literature Review. In: Arai, K. (eds) Advances in Information and Communication. FICC 2022. Lecture Notes in Networks and Systems, vol 439. Springer, Cham. https://doi.org/10.1007/978-3-030-98015-3_24
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