An expert enhanced coloured fuzzy Petri net approach to reconfigurable manufacturing systems involving information delays |
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Authors: | Rupesh Kumar Santosh Kumar MK Tiwari |
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Affiliation: | (1) Department of Manufacturing Engineering, National Institute of Foundry and Forge Technology, Ranchi, 834003, India |
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Abstract: | In today’s competitive market, manufacturers need to quickly adapt to the changing demands of the customers. Reconfigurable
manufacturing system (RMS) is a cost-effective system that can easily absorb frequent changes in product demands. In this
article such a system is modelled using expert enhanced coloured fuzzy Petri net (EECFPN), which considers the demands of
customers as a fuzzy parameter and vividly captures the reconfigurability aspect of RMS. A fuzzy control strategy (FCS) is
proposed to deal with the information delays occurring during information transfer or decision implementation. After intensive
computational experimentation, it has been found that FCS outperforms the alternative priority (AP) heuristic and it is considered
an effective measure to deal with situations where considerable information delay is involved. |
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Keywords: | Alternative priority Expert enhanced coloured fuzzy Petri net Fuzzy control Reconfigurable manufacturing system |
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