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Aggregated Discrete Event Modelling for Simulation and Optimisation of Manufacturing Systems
University of Skövde, School of Engineering Science. University of Skövde, The Virtual Systems Research Centre. Volvo Car Corporation, Gothenburg, Sweden. (Produktion och automatiseringsteknik, Production and Automation Engineering)
Volvo Car Corporation, Gothenburg, Sweden.
University of Skövde, School of Engineering Science. University of Skövde, The Virtual Systems Research Centre. (Produktion och automatiseringsteknik, Production and Automation Engineering)ORCID iD: 0000-0002-4086-3877
University of Skövde, School of Engineering Science. University of Skövde, The Virtual Systems Research Centre. (Produktion och automatiseringsteknik, Production and Automation Engineering)
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2014 (English)In: Industrial Simulation Conference, Skövde, June 11-13, 2014, Eurosis, 2014, 2014, 83-90 p.Conference paper (Refereed)
Abstract [en]

In many simulation studies for factory analysis, for example, to locate the constraint of an entire factory that consists of multiple production lines, it may not be effective to put every process detail into a single model. Firstly, to develop such a factory-wide model would be very time-consuming. Secondly, it can be very computational costly to run the model, especially if simulation-based optimisation is applied to find the optimal setting from such a complex model that possesses all the details of the processes. In this regard, aggregation, with which multiple process steps are aggregated into some simpler simulation objects, is an effective method to reduce both the development and computational times. On one hand, based on the initial analysis, the simulation expert can pinpoint the sub-system that restrains the performance of the entire factory and decide if a more detailed model is needed. On the other hand, interline buffers/storages can be readily optimised by using such an aggregated model. Through an application study with data from a real-world factory, this paper introduces a novel aggregation method and illustrates the potential of the abovesaid concepts.

Place, publisher, year, edition, pages
2014. 83-90 p.
Keyword [en]
Simulation, aggregation, discrete event systems, manufacturing systems, multi-objective optimisation
National Category
Production Engineering, Human Work Science and Ergonomics
Research subject
Technology
Identifiers
URN: urn:nbn:se:his:diva-10478ISBN: 978-90-77381-83-0 OAI: oai:DiVA.org:his-10478DiVA: diva2:774289
Conference
12th Annual Industrial Simulation Conference, ISC'2014, June 11-13, 2014, University of Skövde, Skövde, Sweden
Available from: 2014-12-22 Created: 2014-12-22 Last updated: 2015-12-18Bibliographically approved

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