A Study on Traceability Data-Mining
| Project/Area Number |
21500132
|
|---|
| Research Category |
Grant-in-Aid for Scientific Research (C)
|
| Allocation Type | Single-year Grants |
|---|
| Section | 一般 |
|---|
| Research Field |
Intelligent informatics
|
|---|
| Research Institution | The University of Electro-Communications |
|---|
Principal Investigator |
NUMAO Masayuki 電気通信大学, 大学院・情報理工学研究科, 教授 (90508821)
|
|---|
| Co-Investigator(Kenkyū-buntansha) |
ONAI Rikio 電気通信大学, 大学院・情報理工学研究科, 教授 (70323871)
|
|---|
| Project Period (FY) |
2009 – 2011
|
| Project Status |
Completed (Fiscal Year 2011)
|
| Budget Amount *help |
¥4,420,000 (Direct Cost: ¥3,400,000、Indirect Cost: ¥1,020,000)
Fiscal Year 2011: ¥780,000 (Direct Cost: ¥600,000、Indirect Cost: ¥180,000)
Fiscal Year 2010: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
Fiscal Year 2009: ¥2,210,000 (Direct Cost: ¥1,700,000、Indirect Cost: ¥510,000)
|
|---|
| Keywords | 知識発見とデータマイニング / トレーサビリティ / データマイニング / OLAP / 部品表 / RFID |
|---|
| Research Abstract |
Traceability data-mining is a technology to analyze which of the parts contributes to the product-level fault in the assembly processes such as automobile manufacturing, where more than ten-thousands of parts are assembled by multiple vendors in hierarchical manner. In this study, we introduced a virtual lot concept and developed the drill-down mining method which can search the suspicious parts selectively. After implementing the system, we compared our method with the existing one and showed that our method has a feasible search time even if data size is increased.
|
Report
(4 results)
Research Products
(26 results)
