Real-Time Controlled Multi-objective Scheduling Through ANNs and Fuzzy Inference Systems: The Case of DRC Manufacturing

  • Authors:

  • Ozlem Uzun Araz

  • Affiliations:

  • Dokuz Eylul University Industrial Engineering Department, 35100, Izmir, Turkey

  • Venue:
  • ICCS '07 Proceedings of the 7th international conference on Computational Science, Part IV: ICCS 2007
  • Year:
  • 2007

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Abstract

In this paper, we developed an integrated multi-objective real-time controlled scheduling methodology for Dual Resource Constrained systems. The proposed methodology integrates simulation, neural network and fuzzy inference system approaches to obtain a schedule considering both state of the system and objectives. By means of a case study, we have demonstrated that the proposed methodology can be an effective tool for dynamic scheduling of DRC systems.