Modeling and Analysis of Intelligent Manufacturing System Consisting of Two Repairable Machines and Finite Intelligent Buffer in Series
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Abstract: A new model is proposed for analyzing the intelligent manufacturing systems (IMS) consisting of repairable machine and finite buffers in series. The unreliable machines stop during times to repair and the finite storage buffers lead to blockage and starvation due to the random machine operation times of failure and repair times. Then the machines operate in interrupting state and make the problem of modeling and analysis for the system very difficult to treat. An equivalent workstation without starvation and blockage is constructed by means of quening theory of the discrete Markovian process. Connecting all the equivalent workstations in series, we get the new model of the whole system. Thus the interrupting discrete system has been converted to a continuous production line which can be solved by ordinary differential equations on the normal way. Then from the law of conservation of working piece flow in the transfer line, some explicit expressions for the measures of performance for the systems in steady state have been derived (such as system production rate, efficiency, expected in -process inventory, etc.).
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