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100	0		_aNara Samattapapong
245	1	2	_aA new throughput forecasting model for disk drive automated test operation
260			_aPathumthani : _bAsian Institute of Technology, _c2016
300			_e1 online resource
500			_aA dissertation submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy in Mechatronics, School of Engineering and Technology
520			_aThe production throughput volume is a key performance index of hard disk drive manufacturing systems that need to be forecast. Because of the production throughput forecasting result is useful information for the management team to respond to any changes in production processes and resource allocation. However, a practically forecasting system for production throughput has not been described in detail yet and also a new forecasting system has not been proposed for a decade. This study describes a pragmatic procedure to develop forecasting system for production throughput in the automated test operation of the hard disc drives manufacturing factory. The procedures consist of three main stages. The first stage, selecting relevant inputs into the forecasting model was adopted mutual information method. In the second stage, generalized regression neural network was used in the forecasting model development phase. Finally, forecasting accuracy was improved by using the interval halving optimization method. The experiments were conducted on a real data set from the final testing operation of the hard disk drive manufacturing factory by using a Visual Basic Application on Microsoft Excel© to develop a preliminary forecasting system on testing and the verification process. The experimental result shows that the proposed model is superior to the performance of the current forecasting system.
650		0	_aData disk drives _xTesting
650		0	_aForecasting
700	1		_aAfzulpurkar, Nitin V., _eExamination Committee
700	1		_aHuynh, Trung Luong, _eExamination Committee
700	0		_aManukid Parnichkun, _eExamination Committee
700	0		_aChittiporn Pupaichikul, _eExamination committee
700	1		_aBohez, Erik L.J., _eExamination Committee
710	2		_aSuranaree University of Technology, _eScholarship donor
856			_3Full-Text _uhttp://203.159.5.9/ait-thesis/detail.php?q=B04721
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