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10.5593/sgemsocial2017/15/S05.095

PREDICTIVE SIMULATION TO DECISION-MAKING SUPPORT AT THE OPERATIONAL LEVEL

Z. Videcka
Thursday 28 September 2017 by Libadmin2017

References: 4th International Multidisciplinary Scientific Conference on Social Sciences and Arts SGEM 2017, www.sgemsocial.org, SGEM2017 Conference Proceedings, ISBN 978-619-7408-17-1 / ISSN 2367-5659, 24 - 30 August, 2017, Book 1, Vol 5, 757-764 pp, DOI: 10.5593/sgemsocial2017/15/S05.095

ABSTRACT

Manufacturing Execution Systems to support production management at the operational level are focused to the input, monitoring and evaluation of the manufacturing process. The functions of these systems are capable of collecting a large amount of data and their fast processing. It means to respond quickly to events that occur during manufacturing process. MES systems also allow rapid evaluation of key performance indicators that are linked to production efficiency. Their evaluation is based on collected data. Systems include prediction of the production system behaviour, particularly in the area of planning a work buffers for machines and operators. However, the prediction of performance indicators is more complex when deciding on a specific intervention in the production process. An example may be the evaluation of the Overall Equipment Effectiveness (OEE) indicator, which is evaluated on the basis of monitored data. One way to predict the development of performance indicators is to use predictive simulation to decision-making support at the operational level. The paper focuses on the use of predictive simulation to verify the impact of dispatching interventions on the evaluation of performance indicators in a particular production process.

Keywords: Predictive simulation, MES, OEE, decision-making support, digital twin