Abstract—The conventional approach is not the best choice for optimizing the manufacturing process, because of its specific structure, and of the specific definition of the optimization problem in its case. During last years, the authors of this paper have developed the concept of holistic optimization and a method for its application in manufacturing process optimization. The method works on the base of two procedures, aiming the causal identification and the comparative assessment of the manufacturing jobs. This paper presents a validation of these procedures by applying them in the case of estimating the manufacturing cost of roller bearings. The case study used a database extracted from the industrial environment. Clusters of condition-variables being the most appropriate for evaluating the cost are determined, at first. Then, neighborhoods of the interrogated cases are extracted from the database and the proximity function is identified. The estimated ranking (hence the manufacturing cost) of the interrogated case is found on this base, eventually.
Index Terms—Manufacturing cost estimation, comparative assessment, causal identification, roller bearings.
The authors are with the Manufacturing Engineering Department, Dunarea de Jos University of Galati, Romania (e-mail: gabriel.frumusanu@ ugal.ro, cezarina.afteni@ugal.ro, viorel.păunoiu@ ugal.ro).
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Cite: Gabriel Frumuşanu, Cezarina Afteni, and Viorel Păunoiu, "Estimation of Roller Bearings Manufacturing Cost by Causal Identification and Comparative Assessment – Case Study Performed on Industrial Data," International Journal of Modeling and Optimization vol. 10, no. 4, pp. 114-120, 2020.
Copyright © 2020 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
