SUITABLE PRODUCTION TOOLS SELECTION WITH THE USE OF EVOLUTIONARY ALGORITHMS

Authors

  • Petr Hynek Czech Technical University in Prague, Faculty of Mechanical Engineering, Department of Manufacturing Technology, Technická 4, 166 07 Praha 6, Czech Republic
  • Viktor Kreibich Czech Technical University in Prague, Faculty of Mechanical Engineering, Department of Manufacturing Technology, Technická 4, 166 07 Praha 6, Czech Republic
  • Roman Firt Volkswagen AG, Department of Automation Engineering, Letter Box 011/13990, 38436 Wolfsburg, Germany

DOI:

https://doi.org/10.14311/AP.2020.60.0056

Keywords:

Design process, production system, production process, simulation, body shop, automotive industry, evolutionary algorithms.

Abstract

This paper deals with the use of a production equipment simulation in the design of production systems, more specifically the welding equipment in the automotive industry. Based on the simulation results, a matrix, which defines the possibility of using given manufacturing tools (in this case welding guns are considered) to connect the plates using the electrical resistance spot welding process, is created. This matrix generates a set of several numbers of solutions depending on other parameters, such as the lowest price, the lowest number of used welding guns, etc. The goal is to solve this task. The solution is presented using mathematical programming. Specifically, the method of genetic evolutionary algorithms is being used. The Solver software is used to optimize the selection of the welding guns’ combination. The Solver is an add-on in MS Excel. The case study shows 15 welding points weldment on which the availability of 20 types of welding guns was simulated. The result is an ideal combination of 2 types of guns for the lowest price.

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Published

2020-03-02

Issue

Vol. 60 No. 1 (2020)

Section

Articles

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How to Cite

Hynek, P., Kreibich, V., & Firt, R. (2020). SUITABLE PRODUCTION TOOLS SELECTION WITH THE USE OF EVOLUTIONARY ALGORITHMS. Acta Polytechnica, 60(1), 56-64. https://doi.org/10.14311/AP.2020.60.0056