Discrete Event Simulation Method as a Tool for Improvement of Manufacturing Systems
AbstractThe problem of production flow in manufacturing systems is analyzed. The machines can be operated by workers or by robots, since breakdowns and human factors destabilize the production processes that robots are preferred to perform. The problem is how to determine the real difference in work efficiency between humans and robots. We present an analysis of the production efficiency and reliability of the press shop lines operated by human operators or industrial robots. This is a problem from the field of Operations Research for which the Discrete Event Simulation (DES) method has been used. Three models have been developed, including the manufacturing line before and after robotization, taking into account stochastic parameters of availability and reliability of the machines, operators, and robots. We apply the OEE (Overall Equipment Effectiveness) indicator to present how the availability, reliability, and quality parameters influence the performance of the workstations, especially in the short run and in the long run. In addition, the stability of the simulation model was analyzed. This approach enables a better representation of real manufacturing processes. View Full-Text
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Kampa, A.; Gołda, G.; Paprocka, I. Discrete Event Simulation Method as a Tool for Improvement of Manufacturing Systems. Computers 2017, 6, 10.
Kampa A, Gołda G, Paprocka I. Discrete Event Simulation Method as a Tool for Improvement of Manufacturing Systems. Computers. 2017; 6(1):10.Chicago/Turabian Style
Kampa, Adrian; Gołda, Grzegorz; Paprocka, Iwona. 2017. "Discrete Event Simulation Method as a Tool for Improvement of Manufacturing Systems." Computers 6, no. 1: 10.
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