MATEC Web Conf.
Volume 368, 2022NEWTECH 2022 – The 7th International Conference on Advanced Manufacturing Engineering and Technologies
|Number of page(s)||10|
|Section||Advanced Manufacturing Engineering and Technologies|
|Published online||19 October 2022|
Study on the Application of the Holistic Optimization Method of the Manufacturing Process in the Case of a Reduced Instances Database
“Dunarea de Jos” University of Galati, Domneasca str. 111, 800201, Galati, Romania
2 Rulmenti S.A., Republicii str. 320, 731108, Barlad, Romania
The optimal management of the manufacturing processes is achieved through a set of optimal decisions, which must be made for choosing the best way to follow, every time we find ourselves in a point from which several potential manufacturing paths start. A dedicated method, namely the Holistic Optimization Method has been already developed in this purpose, and validated in a number of studies based on artificial and real instances databases. In the current papers that approach the optimal management of the manufacturing processes, in order to estimate the consequences of a decision, are used known methods, such as: NN modeling, big data analysis, statistics, etc. In all these cases, the database size plays an essential role in terms of estimation quality. The present study aims to prove the feasibility of applying the Holistic Optimization Method when the decision-maker does not dispose of a consistent database. This can be a significant advantage relative to the other methods. The study is performed using an artificially generated instances database in the case of a turning process, and the results obtained are promising.
Key words: Decision Making / Holistic Optimization Method / Instances Database / Comparative Assessment / Turning Process
© The Authors, published by EDP Sciences, 2022
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