Method for synthetic modeling of the reconfigurable machine tools using genetic algorithms

  • Ionuț Clementin Constantin Dunarea de Jos University of Galati, Department of Manufacturing, Robotics and Welding Engineering, Romania
  • Mihaela Banu Dunarea de Jos University of Galati, Department of Manufacturing, Robotics and Welding Engineering, Romania
  • Florin Bogdan Marin Dunarea de Jos University of Galati, Department of Manufacturing, Robotics and Welding Engineering, Romania
  • Vasile Marinescu Dunarea de Jos University of Galati, Department of Manufacturing, Robotics and Welding Engineering, Romania
  • Alexandru Epureanu Dunarea de Jos University of Galati, Department of Manufacturing, Robotics and Welding Engineering, Romania
Keywords: costs, manufacturing, RMT, price quotation, productivity, algorithms

Abstract

This paper presents a method of synthetic modeling which can be applied by the manufacturing companies in order to rapidly evaluate the production costs, under the technical restrictions imposed by the client requests. Using the proposed approach the company can make an appropriate price quotation for its products and thus establish its profit margin. In the case of manufacturing processes, the key idea is to online model the costs occurring during the machining and consumption of time both in relation to the chips flow. After this, using the genetic algorithms technique, the optimal cutting conditions are determined as well as the minimum cost for the manufacturing task completion, under the restrictions imposed by the technical specifications and by the negotiation process. The minimum cost is considered to be a reference against which the price quotation is made in accordance with the commercial policy of the company. Using the proposed approach the company can set a price for a product and thus establish its profit margin.

Downloads

Download data is not yet available.
Published
2010-11-14
How to Cite
1.
Constantin I, Banu M, Marin F, Marinescu V, Epureanu A. Method for synthetic modeling of the reconfigurable machine tools using genetic algorithms. Annals of ”Dunarea de Jos” University of Galati, Fascicle V, Technologies in machine building [Internet]. 14Nov.2010 [cited 29Mar.2024];28(2):107-10. Available from: https://www.gup.ugal.ro/ugaljournals/index.php/tmb/article/view/1845
Section
Articles

Most read articles by the same author(s)