Title | ||
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The performance of product-driven manufacturing control: An emulation-based benchmarking study |
Abstract | ||
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Product-driven control may enable manufacturing companies to meet business demands more quickly and effectively. But a key point in making this concept acceptable by industry is to provide benchmarking environments in order to compare and analyze their efficiency on emulated large-scale industry-led case studies with regard to current technologies and approaches. In this paper, a benchmarking protocol is defined, in order to provide R&D practitioners with benchmarking services in a product-driven implementation project. A component-based generic architecture is proposed to support this protocol, enabling to model and compare various control architectures. This benchmarking protocol is applied to an automotive-industry case study in order to evaluate the impact of making the products interact with the local decision centers. Finally the experiments show that product-driven control can perform as good as traditional centralized control, and that its robustness depends mainly of the local decision-making processes. |
Year | DOI | Venue |
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2009 | 10.1016/j.compind.2008.12.007 | Computers in Industry |
Keywords | DocType | Volume |
traditional centralized control,benchmarking protocol,local decision center,Intelligent manufacturing systems,Simulation,Benchmarking,various control architecture,automotive-industry case study,product-driven manufacturing control,Product-driven control,MAS,benchmarking environment,benchmarking service,emulation-based benchmarking study,local decision-making process,large-scale industry-led case study | Journal | 60 |
Issue | ISSN | Citations |
3 | Computers in Industry | 12 |
PageRank | References | Authors |
0.86 | 7 | 3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Rémi Pannequin | 1 | 16 | 2.28 |
Gérard Morel | 2 | 119 | 13.09 |
André Thomas | 3 | 111 | 21.26 |