Research Article Open Access

DEVELOPMENT OF A FUZZY-SIMULATION MODEL OF SCHEDULING ROBOTIC FLEXIBLE ASSEMBLY CELLS

Khalid Abd1, Kazem Abhary2 and Romeo Marian2
  • 1 University of Technology, Iraq
  • 2 University of South Australia, South Australia
Journal of Computer Science
Volume 9 No. 12, 2013, 1761-1768

DOI: https://doi.org/10.3844/jcssp.2013.1761.1768

Submitted On: 16 September 2013 Published On: 25 November 2013

How to Cite: Abd, K., Abhary, K. & Marian, R. (2013). DEVELOPMENT OF A FUZZY-SIMULATION MODEL OF SCHEDULING ROBOTIC FLEXIBLE ASSEMBLY CELLS. Journal of Computer Science, 9(12), 1761-1768. https://doi.org/10.3844/jcssp.2013.1761.1768

Abstract

Due to the complexity of scheduling flexible manufacturing systems, the generation of production schedules requires an intelligent technique. Many artificial intelligence techniques such as fuzzy logic, genetic algorithms and neural networks have been successfully applied to the scheduling of advanced manufacturing systems. One such system is Robotic Flexible Assembly Cells (RFACs). Few studies have addressed the problem of scheduling RFACs. The major limitation is that these studies are limited to the assembly of only one product type. The objective of this study is to propose a new intelligent model of scheduling RFACs in a multi-product assembly environment, using fuzzy logic.

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Keywords

  • Robotic Cells
  • Scheduling
  • Fuzzy Logic
  • Simulation