A reactive programming procedure for flexible manufacturing system

Politano, Paulo Rogério; Camargo, Heloisa de Arruda; Kato, E.R.R.; Morandin, Orides

doi:10.1109/icsmc.2000.886435

Cited by 6 publications

(1 citation statement)

References 12 publications

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“…A recent study on part dispatching is by Li, Wu, Tsai, and Chang (2006) who employ an adaptive neural network to derive a rule base for selecting an appropriate dispatching rule for a given FMS instance. Canbolat and Gü ndogar (2004), Caprihan, Kumar, and Stecke (2006), Domingos and Polianto (2003), Polianto, Camargo, Kato, andMorandin (2000) Srinoi, Shayan, andGhotb (2006) present fuzzy logic models, where the input variables are partitioned in an ad-hoc or problem instance specific manner, and the rule base consequents are fixed at their linguistic levels intuitively. Clearly, both the effectiveness and robustness of a fuzzy logic approach are critically dependent on the parameter selections and appropriateness of the fuzzy rules, particularly on the impact of each rule on the final decision.…”

Section: Introductionmentioning

confidence: 99%