As the business grows, the customer volume, varieties and complexity also grows accordingly. In the testing area, the complexity is also higher with combinations of the tester, handler, test program, temperature and product. An effective solution is required to classify the accuracy of test time and index time and recommend the attention to the focus problem area. In this paper, the management of big data analytics was explored for recommending V93K tester platform focus area with high test time and index time deviation. The systematics will be able to summarize and help to decide quickly on the focus list for the factory engineers, manufacturing manager and operations to work on for productivity and gap closure.
Application of Big Data Analytics for Recommending V93K Tester Platform Focus Area with High Test Time and Index Time Deviation
3 Views
4 Downloads