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Purpose: The goal of this paper is to develop a pragmatic system of a production throughput\udforecasting system for an automated test operation in a hard drive manufacturing plant. The\udaccurate forecasting result is necessary for the management team to response to any changes in\udthe production processes and the resources allocations.\udDesign/methodology/approach: In this study, we design a production throughput forecasting\udsystem in an automated test operation in hard drive manufacturing plant. The proposed system\udconsists of three main stages. In the first stage, a mutual information method was adopted for\udselecting the relevant inputs into the forecasting model. In the second stage, a generalized\udregression neural network (GRNN) was implemented in the forecasting model development\udphase. Finally, forecasting accuracy was improved by searching the optimal smoothing parameter\udwhich selected from comparisons result among three optimization algorithms: particle swarm\udoptimization (PSO), unrestricted search optimization (USO) and interval halving optimization\ud(IHO).\udFindings: The experimental result shows that (1) the developed production throughput\udforecasting system using GRNN is able to provide forecasted results close to actual values, and to\udprojected the future trends of production throughput in an automated hard disk drive test  operation; (2) IHO algorithm performed as appropriate optimization method better than the\udother two algorithms. (3) Compared with current forecasting system in manufacturing, the results\udshow that the proposed system’s performance is superior to the current system in prediction\udaccuracy and suitable for real-world application.\udOriginality/value: The production throughput volume is a key performance index of hard disk\uddrive manufacturing systems that need to be forecast. The production throughput forecasting\udresult is useful information for management team to respond to any changes in production\udprocesses and resources allocation. However, a practical forecasting system for production\udthroughput has not been described in detail yet. The experiments were conducted on a real data\udset from the final testing operation of hard disk drive manufacturing factory by using Visual Basic\udApplication on Microsoft Excel© to develop preliminary forecasting system for testing and\udverification process. The experimental result shows that the proposed model is superior to the\udperformance of the current forecasting system.Peer Reviewe

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