Abstract
In this paper, we describe how we ensure interoperability of software agents that support planning and control decisions in semiconductor supply chains by means of a domain- and task-specific ontology. The sheer size of the facilities and the supply chains in the semiconductor domain, the permanent appearance of uncertainty, and the rapid technological changes lead to an industrial environment that gives rise to applying software agents for next-generation enterprise information systems. The S2CMAS prototype is a hierarchically organized agent-based system that allows for decisions ranging from long-term capacity planning for the entire network to detailed scheduling decisions for single wafer fabrication facilities (wafer fabs). The ontology for the S2CMAS system is designed based on a domain analysis. The usage of the proposed ontology is illustrated by an example.
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Acknowledgement
The authors would like to thank the attendees of the Dagstuhl Seminar 16062 “Modeling and Analysis of Semiconductor Supply Chains”, especially Hans Ehm, Infineon, Irvan M. Ovacik, Intel, and Kenneth Fordyce, Arkieva, for helpful discussions about modeling issues for semiconductor supply chains.
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Herding, R., Mönch, L. (2017). Designing an Ontology for Agent-Based Planning and Control Tasks in Semiconductor Supply Chains. In: Ciuciu, I., et al. On the Move to Meaningful Internet Systems: OTM 2016 Workshops. OTM 2016. Lecture Notes in Computer Science(), vol 10034. Springer, Cham. https://doi.org/10.1007/978-3-319-55961-2_7
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