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A simulation-based scheduling system for real-time optimization and decision making support

Frantzén, Marcus (author)
Högskolan i Skövde,Forskningscentrum för Virtuella system,Institutionen för teknik och samhälle
Ng, Amos H. C. (author)
Högskolan i Skövde,Forskningscentrum för Virtuella system,Institutionen för teknik och samhälle
Moore, Philip (author)
Computing Sciences and Engineering, De Montfort University Leicester, LE1 9BH, United Kingdom
 (creator_code:org_t)
Elsevier, 2011
2011
English.
In: Robotics and Computer-Integrated Manufacturing. - : Elsevier. - 0736-5845 .- 1879-2537. ; 27:4, s. 696-705
  • Journal article (peer-reviewed)
Abstract Subject headings
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  • 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.

Keyword

Scheduling system
Simulation
Scheduling
Simulation-based optimization
Teknik
Technology

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Frantzén, Marcus
Ng, Amos H. C.
Moore, Philip
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Robotics and Com ...
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University of Skövde

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