2015
DOI: 10.1016/j.cie.2014.09.024
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Petri net based decision system modeling in real-time scheduling and control of flexible automotive manufacturing systems

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Cited by 40 publications
(15 citation statements)
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“…The fuzzy Petri net (FPN), a kind of backward extension high-level Petri net (HLPN), has been widely applied to model and analyse uncertainty systems or knowledge-based systems (KBSs) [1]. Due to two unique features of FPN-structural store representation for fuzzy information and visualization description for uncertainty reasoning, FPN has been widely applied in various industrial areas, such as robotics [2,3], intelligent manufacturing systems [4,5], traffic control [6,7], semantic network [8,9], etc.…”
Section: Introductionmentioning
confidence: 99%
“…The fuzzy Petri net (FPN), a kind of backward extension high-level Petri net (HLPN), has been widely applied to model and analyse uncertainty systems or knowledge-based systems (KBSs) [1]. Due to two unique features of FPN-structural store representation for fuzzy information and visualization description for uncertainty reasoning, FPN has been widely applied in various industrial areas, such as robotics [2,3], intelligent manufacturing systems [4,5], traffic control [6,7], semantic network [8,9], etc.…”
Section: Introductionmentioning
confidence: 99%
“…The research of big data in the manufacturing industry focused on using different algorithms to optimize scheduling to assess the program. Basak and Albayrak (2014) proposed a real-time scheduling and control decision model based on object-oriented Petri net for automobile manufacturing. However, this algorithm is not applicable for batch mode adaptation and discrete manufacturing.…”
Section: Introductionmentioning
confidence: 99%
“…Besides their capability to validate and verify the behavior of systems, the simulation capabilities of these formal methods make it more flexible in combining them with solution approaches from Operations Research, Artificial Intelligence (AI), and the Computer Science domains. Specifically, Petri nets (PNs) are a powerful graphical and mathematical modeling tool, which have been extensively used to model, simulate, and analyze discrete-event systems characterized by concurrency, parallelism, causal dependency, resource sharing and synchronization [10,52]. Since its inception in Carl Adam Petri's PhD dissertation on "Communication with Automata" in 1962, it has gained recognition in the research community in addressing manufacturing and logistic systems including its application in a number of different disciplines like communications, transportation, robotics, engineering, business and air traffic management [80].…”
Section: Introductionmentioning
confidence: 99%