Next Article in Journal
Exploring a New Security Framework for Remote Patient Monitoring Devices
Previous Article in Journal
Traffic Priority-Aware Adaptive Slot Allocation for Medium Access Control Protocol in Wireless Body Area Network
Article Menu

Export Article

Open AccessArticle
Computers 2017, 6(1), 10; doi:10.3390/computers6010010

Discrete Event Simulation Method as a Tool for Improvement of Manufacturing Systems

Institute of Engineering Processes Automation and Integrated Manufacturing Systems, Silesian University of Technology, ul. Konarskiego 18A, 44-100 Gliwice, Poland
*
Author to whom correspondence should be addressed.
Academic Editors: Paweł Sitek and Grzegorz Bocewicz
Received: 29 November 2016 / Accepted: 17 February 2017 / Published: 23 February 2017
View Full-Text   |   Download PDF [2221 KB, uploaded 24 February 2017]   |  

Abstract

The 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
Keywords: discrete event simulation; human factors; industrial robots; machine reliability; OEE—overall equipment effectiveness discrete event simulation; human factors; industrial robots; machine reliability; OEE—overall equipment effectiveness
Figures

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).

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

MDPI and ACS Style

Kampa, A.; Gołda, G.; Paprocka, I. Discrete Event Simulation Method as a Tool for Improvement of Manufacturing Systems. Computers 2017, 6, 10.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Computers EISSN 2073-431X Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top