Stochastic analysis of operations decoupling in flexible manufacturing systems

  • Authors:

  • G. Pérez-Lechuga;A. A. Karelyn;M. Muñóz-Orán;L. M. Pla-Aragones

  • Affiliations:

  • Centro de Investigación Avanzada en Ingeniería Industrial, Universidad Autónoma del Estado de Hidalgo, ICBI, CIAII, Pachuca Hgo, México;Centro de Investigación Avanzada en Ingeniería Industrial, Universidad Autónoma del Estado de Hidalgo, ICBI, CIAII, Pachuca Hgo, México;Universidad Siglo XXI, Departamento de Computación e Informática, Pachuca Hgo, México;Universidad de Lleida, Departamento de Matemática, Lleida, España

  • Venue:
  • ISTASC'05 Proceedings of the 5th WSEAS/IASME International Conference on Systems Theory and Scientific Computation
  • Year:
  • 2005

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Abstract

In serial production systems, storage may be provided between processes to avoid interference due to lack of synchronization. In order to manufacture a product, a job is divided into individual tasks, typically manufacturing or assembly processes. These tasks are interdependent and should be coordinated. To reduce the interdependence between downstream and upstream operations and to maintain the output of the production line, it is common to introduce buffers between the operations. These buffers decouple operations and eliminate the interdependency unless the buffer is emptied when a shutdown occurs upstream. In this paper we study the buffered flows of matter in a flexible manufacturing system considering only two machines. We develop procedures to compute some steady-state performance measures, including the interference loss and some limiting distributions. We use the Markov processes theory to obtain our results.