Multi-state throughput analysis of a two-stage manufacturing system with parallel unreliable machines and a finite buffer
This paper models and analyzes the throughput of a two-stage manufacturing system with multiple independent unreliable machines at each stage and one finite-sized buffer between the stages. The machines follow exponential operation, failure, and repair processes. Most of the literature uses binary random variables to model unreliable machines in transfer lines and other production lines. This paper first illustrates the importance of using more than two states to model parallel unreliable machines because of their independent and asynchronous operations in the parallel system. The system balance equations are then formulated based on a set of new notations of vector manipulations, and are transformed into a matrix form fitting the properties of the Quasi-Birth–Death (QBD) process. The Matrix-Analytic (MA) method for solving the generic QBD processes is used to calculate the system state probability and throughput. Numerical cases demonstrate that solution method is fast and accurate in analyzing parallel manufacturing systems, and thus prove the applicability of the new model and the effectiveness of the MA-based method. Such multi-state models and their solution techniques can be used as a building block for analyzing larger, more complex manufacturing systems.
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Volume (Year): 219 (2012)
Issue (Month): 2 ()
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- Tan, BarIs & Gershwin, Stanley B., 2009. "Analysis of a general Markovian two-stage continuous-flow production system with a finite buffer," International Journal of Production Economics, Elsevier, vol. 120(2), pages 327-339, August.
- Pradhan, Salil & Damodaran, Purushothaman, 2009. "Performance characterization of complex manufacturing systems with general distributions and job failures," European Journal of Operational Research, Elsevier, vol. 197(2), pages 588-598, September.
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- Sorensen, Kenneth & Janssens, Gerrit K., 2004. "A Petri net model of a continuous flow transfer line with unreliable machines," European Journal of Operational Research, Elsevier, vol. 152(1), pages 248-262, January.
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