Proceedings of IEEE International Conference on Systems, Man and Cybernetics
DOI: 10.1109/icsmc.1994.400040
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Modeling control decisions in manufacturing systems simulation using objects

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Cited by 7 publications
(3 citation statements)
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“…More specifically, our work is strongly influenced by the OOSIM effort towards modelling discrete manufacturing systems (Narayanan et al 1994, Bodner 1996, Bodner and Reveliotis 1997. In the context of the OOSIM framework, a manufacturing system is viewed from two distinct perspectives: (i) processing versus logistics, and (ii) plant versus control.…”
Section: A Flexibly Automated Manufacturing System Model and An Eventmentioning
confidence: 99%
See 1 more Smart Citation
“…More specifically, our work is strongly influenced by the OOSIM effort towards modelling discrete manufacturing systems (Narayanan et al 1994, Bodner 1996, Bodner and Reveliotis 1997. In the context of the OOSIM framework, a manufacturing system is viewed from two distinct perspectives: (i) processing versus logistics, and (ii) plant versus control.…”
Section: A Flexibly Automated Manufacturing System Model and An Eventmentioning
confidence: 99%
“…Hence, our work is conceptually in line with the current computer integrated manufacturing (CIM) system modelling practice (Idelmerfaa and Richard 1998), that perceives the underlying (real-time) control problem as the development of a communication protocol that enables the orderly request and acknowledgment of a set of functional services among the set of interacting manufacturing components. The detailed definition of the manufacturing entities recognized by the proposed system representation, and their interaction, are motivated by the OOSIM modelling paradigm (Narayanan et al 1994, Bodner 1996, Bodner and Reveliotis 1997, and are discussed in the next section.…”
Section: Introductionmentioning
confidence: 99%
“…Judd et al [7] introduced a modeling view in which objects in the real control architecture can be mapped onto objects in the simulation model. Narayanan et al [8] developed the controller simulation model so that the control logic can be easily adapted to the real system. In order to increase the reusability of simulation models, Pratt et al [9] separated control logic, plant behavior, parts and information.…”
Section: Introductionmentioning
confidence: 99%