AI SearchA new throughput forecasting model for disk drive automated test operation (Record no. 81007)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 02645nam a2200301 a 4500 |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20260818170016.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | |
| 035 ## - SYSTEM CONTROL NUMBER | |
| System control number | .b12340066 |
| 100 0# - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Nara Samattapapong |
| 245 12 - TITLE STATEMENT | |
| Title | A new throughput forecasting model for disk drive automated test operation |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. | |
| Place of publication, distribution, etc. | Pathumthani : |
| Name of publisher, distributor, etc. | Asian Institute of Technology, |
| Date of publication, distribution, etc. | 2016 |
| 300 ## - PHYSICAL DESCRIPTION | |
| Accompanying material | 1 online resource |
| 500 ## - GENERAL NOTE | |
| General note | A dissertation submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy in Mechatronics, School of Engineering and Technology |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc. | The 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 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Data disk drives |
| General subdivision | Testing |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Forecasting |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Afzulpurkar, Nitin V., |
| Relator term | Examination Committee |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Huynh, Trung Luong, |
| Relator term | Examination Committee |
| 700 0# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Manukid Parnichkun, |
| Relator term | Examination Committee |
| 700 0# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Chittiporn Pupaichikul, |
| Relator term | Examination committee |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Bohez, Erik L.J., |
| Relator term | Examination Committee |
| 710 2# - ADDED ENTRY--CORPORATE NAME | |
| Corporate name or jurisdiction name as entry element | Suranaree University of Technology, |
| Relator term | Scholarship donor |
| 856 ## - ELECTRONIC LOCATION AND ACCESS | |
| Materials specified | Full-Text |
| Uniform Resource Identifier | <a href="http://203.159.5.9/ait-thesis/detail.php?q=B04721">http://203.159.5.9/ait-thesis/detail.php?q=B04721</a> |
| 907 ## - LOCAL DATA ELEMENT G, LDG (RLIN) | |
| a | .b12340066 |
| b | mnait |
| c | j |
| 902 ## - LOCAL DATA ELEMENT B, LDB (RLIN) | |
| a | 240423 |
| 998 ## - LOCAL CONTROL INFORMATION (RLIN) | |
| Operator's initials, OID (RLIN) | 0 |
| Cataloger's initials, CIN (RLIN) | 200108 |
| First date, FD (RLIN) | m |
| -- | a |
| -- | j |
| -- | 2 |
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