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• W2048593603 abstract "This paper presents actual data (processing times, interarrival times, cycles-between-failures, and time-to-repair) from two automotive body welding lines. The purpose is twofold. First, to help researchers focus their work on realistic problems, we exhibit the nature of randomness actually found in two industrial manufacturing systems and provide a data source for realistic probability distributions. Second, we assess the validity of two common assumptions regarding this randomness in automotive manufacturing. Many queueing network models assume that certain random variables are independent and exponentially distributed. Though often reasonable, the primary motivation for the independence and exponentiality assumptions is mathematical tractability." @default.
• W2048593603 created "2016-06-24" @default.
• W2048593603 creator A5086401997 @default.
• W2048593603 date "2009-01-05" @default.
• W2048593603 modified "2023-09-28" @default.
• W2048593603 title "EMPIRICAL EVALUATION OF EXPONENTIAL AND INDEPENDENCE ASSUMPTIONS IN QUEUEING MODELS OF MANUFACTURING SYSTEMS" @default.
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• W2048593603 doi "https://doi.org/10.1111/j.1937-5956.1999.tb00316.x" @default.
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