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Appl. Sci. 2017, 7(9), 950; doi:10.3390/app7090950

Decision Support Simulation Method for Process Improvement of Intermittent Production Systems

Faculty of Mechanical Engineering and Informatics, Institute of Logistics, University of Miskolc, 3515 Miskolc-Egyetemváros, Hungary
Received: 20 August 2017 / Revised: 2 September 2017 / Accepted: 13 September 2017 / Published: 15 September 2017
(This article belongs to the Special Issue Modeling, Simulation, Operation and Control of Discrete Event Systems)
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Abstract

Nowadays production system processes are undergoing sweeping changes. The trends include an increase in the number of product variants to be produced, as well as the reduction of the production’s lead time. These trends were induced by new devices of the industry’s 4.0, namely the Internet of Things and cyber physical systems. The companies have been applying intermittent production systems (job production, batch production) because of the increase in the number of product variants. Consequently, increasing the efficiency of these systems has become especially important. The aim of development in the long term—not achievable in many cases—is the realization of unique production, with mass production’s productivity and lower cost. The improvement of complex production systems can be realized efficiently only through simulation modeling. A standardized simulation method for intermittent production systems has not been elaborated so far. In this paper, I introduce a simulation method for system improvement and present its application possibilities and a practical example. View Full-Text
Keywords: intermittent production system; simulation; process improvement; investigational method intermittent production system; simulation; process improvement; investigational method
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Tamás, P. Decision Support Simulation Method for Process Improvement of Intermittent Production Systems. Appl. Sci. 2017, 7, 950.

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