S2CMAS: An Agent-Based System for Planning and Control in Semiconductor Supply Chains

Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9872)

Abstract

In this paper, we describe the design and the implementation of an agent-based system that supports planning and control activities in semiconductor supply chains. The proposed system extends the FABMAS prototype for production control of single wafer fabs by additional enterprise-wide planning-related decision-making agents and staff agents. Web services are used to implement parts of the new planning functionality. Results of simulation experiments with the proposed multi-agent system prototype are presented that indicate that the proposed approach is feasible.

Keywords

Semiconductor supply chains Agent-based decision support Design of multi-agent systems Web services Simulation-based performance assessment 

Notes

Acknowledgement

The authors would like to thank the attendees of the Dagstuhl Seminar 16062 “Modeling and Analysis of Semiconductor Supply Chains”, especially Irvan M. Ovacik, Intel, and Kenneth Fordyce, Arkieva, for interesting discussions about modeling issues and planning software for semiconductor supply chains.

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Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  1. 1.Chair of Enterprise-Wide Software SystemsUniversity of HagenHagenGermany

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