Applying decision tree in fault pattern analysis for HGA manufacturing
Conference proceedings article
ผู้เขียน/บรรณาธิการ
กลุ่มสาขาการวิจัยเชิงกลยุทธ์
ไม่พบข้อมูลที่เกี่ยวข้อง
รายละเอียดสำหรับงานพิมพ์
รายชื่อผู้แต่ง: Taetragool U., Achalakul T.
ผู้เผยแพร่: Hindawi
ปีที่เผยแพร่ (ค.ศ.): 2009
หน้าแรก: 83
หน้าสุดท้าย: 89
จำนวนหน้า: 7
ISBN: 9780769535753
นอก: 0146-9428
eISSN: 1745-4557
ภาษา: English-Great Britain (EN-GB)
บทคัดย่อ
This research proposes the design of a fault pattern analysis algorithm based on the C4.5 decision tree technique. We study the actual data collected from a disk drive manufacturing company. Our work emphasizes the HGA manufacturing data. However, the data from the Wafer and the Slider processes are also explored as they may affect the yield of the HGA production. In our algorithm, the data is first retrieved from the data warehouse, and then pre-processed using the regular data cleaning techniques. The critical external and internal data from all operations that are related to the HGA production (machine parameters and product attributes) are used as inputs in our algorithm. The data preparation steps are added to improve the raw data quality. Subsequently, our decision tree technique is employed to categorize decision options that ndicate problems on the actual manufacturing environment. Finally, the root causes of the yielddegradation will be identified in three categories of attributes (machine, material and method). The data analysts in a HDD company can use this tool to automatically summarize the problems on the manufacturing line. Yield can then be improved by adjusting parameters and/or attributes as suggested by the algorithm. In this paper, we also describe the algorithm through a simple example. Further study will be performed and the experiments will be elaborated in the near future. ฉ 2009 IEEE.
คำสำคัญ
Fault Pattern Analysis
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