Performance characterization of complex manufacturing systems with general distributions and job failures

A production throughput forecasting system in an automated hard disk drive test operation using GRNN

“…Several forecasting models have been developed to predict or estimate different production performance indices (Stoop & Bertrand, 1997;Huang, 1999;Sivakumar & Chong, 2001;Shanthikumar, Ding & Zhang, 2007;Hillberg, Sengupta & Til, 2009;Pradhan & Damodaran, 2009). Only a few forecasting models have been developed for predicting production throughput, and none of these address the forecasting of production throughput in HDD manufacturing.…”

Workflow analysis of production lines with complete inspection and rework loops

“…The statistics of flows due to rework, scrapping and replacement of defective items, as well as their impact on the processing times and inventory were first studied in Seidman and Nof (1985) and Tapiero and Hsu (1987) for single-stage production systems. Since then, the operational analysis of production systems with several machines and rework loops has received considerable attention (see, e.g., Wittrock 1992, Kim et al 1995, Crowley et al 1995, Narahari and Khan 1996, Lee et al 1999, Li 2004, Ioannidis et al 2004, and Pradhan and Damodaran 2008.…”

Analytical Approximations to Predict Performance Measures of Manufacturing Systems with Job Failures and Parallel Processing

“…Although manufacturing systems have been studied using analytical approaches, performance analysis of manufacturing systems considering simultaneously multiple product classes, and job circulation due to random part failures have not been widely studied in the context of parallel processing. Pradhan et al [86], and Pradhan and Damodaran [85] addressed a similar problem in which was presented analytical approximations to estimate the performance measures of an optoelectronic manufacturing system with multiple product classes, job circulations due to failures, and some resources being shared among different products classes. However, this dissertation differs in that, the problem object of this study considers parallel processing.…”

“…In this paper they analyzed a system with exponential interarrival and service times (M/M/c) based on the modified version of the QNA developed by Whitt [110] and modified it to incorporate the stochastic flow of jobs between different nodes in the network. Later, in [85] Pradhan and Damodaran analyzed the same problem for G/G/c type of systems. This work has some similarities with the problem under study; however, they did not consider parallel processing in the manufacturing system.…”

“…Varki et al [106] and Varma and Makowski [107] analyzed parallel processing with similar characteristics; however, multiclass products and failures rates were not considered in those works. Although Pradhan and Damodaran [86,85] addressed optoelectronic manufacturing system with multiple product classes and job circulations due to failure, this dissertation differs in that, the problem object of this study considers parallel processing. Furthermore, from the literature review it can be concluded that performance analysis of manufacturing systems considering simultaneously multiple product classes, job circulation due to random part failures have not been widely studied in the context of parallel processing.…”