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A simulation-based scheduling system for real-time optimization and decision making support
University of Skövde, The Virtual Systems Research Centre. University of Skövde, School of Technology and Society.ORCID iD: 0000-0002-4086-3877
University of Skövde, The Virtual Systems Research Centre. University of Skövde, School of Technology and Society.ORCID iD: 0000-0003-0111-1776
Computing Sciences and Engineering, De Montfort University Leicester, LE1 9BH, United Kingdom.
2011 (English)In: Robotics and Computer-Integrated Manufacturing, ISSN 0736-5845, E-ISSN 1879-2537, Vol. 27, no 4, 696-705 p.Article in journal (Refereed) Published
Abstract [en]

This paper presents an industrial application of simulation-based optimization (SBO) in the scheduling and real-time rescheduling of a complex machining line in an automotive manufacturer in Sweden. Apart from generating schedules that are robust and adaptive, the scheduler must be able to carry out rescheduling in real time in order to cope with the system uncertainty effectively. A real-time scheduling system is therefore needed to support not only the work of the production planner but also the operators on the shop floor by re-generating feasible schedules when required. This paper describes such a real-time scheduling system, which is in essence a SBO system integrated with the shop floor database system. The scheduling system, called OPTIMISE scheduling system (OSS), uses real-time data from the production line and sends back expert suggestions directly to the operators through Personal Digital Assistants (PDAs). The user interface helps in generating new schedules and enables the users to easily monitor the production progress through visualization of production status and allows them to forecast and display target performance measures. Initial results from this industrial application have shown that such a novel scheduling system can help both in improving the line throughput efficiently and simultaneously supporting real-time decision making.

Place, publisher, year, edition, pages
Elsevier, 2011. Vol. 27, no 4, 696-705 p.
Keyword [en]
Scheduling system, Simulation, Scheduling, Simulation-based optimization
National Category
Engineering and Technology
Research subject
Technology
Identifiers
URN: urn:nbn:se:his:diva-4866DOI: 10.1016/j.rcim.2010.12.006ISI: 000291458900006Scopus ID: 2-s2.0-79955656034OAI: oai:DiVA.org:his-4866DiVA: diva2:414327
Conference
20th International Conference on Flexible Automation and Intelligent Manufacturing (FAIM), California State Univ, Oakland, CA, 2010
Available from: 2011-05-03 Created: 2011-05-03 Last updated: 2015-12-18Bibliographically approved

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CiteExportLink to record
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Citation style
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