| dc.description.abstract | The study of background for semiconductor, The semiconductor
industry chain is divided into upstream IP/IC design, midstream
IC/wafer manufacturing industry, and downstream IC packaging and
testing industry. From upstream design to downstream order-to-order
production, the traditional supply chain division of labor is clear,
and the information is transmitted layer by layer. If upstream industry
need to know the information of manufacturers below two levels, it
must rely on the middle-level industry to transmit it. However, in
response to market demand, products and services tend to be customized
and diversified. With shortened production cycles and time-to-market
pressure, the semiconductor industry must integrate the management
system processes of various departments and use big data to optimize
overall revenue and shorten the gap between market and manufacturing
in conjunction with product life cycles and new product development
alternative scheduling. If an enterprise wants to achieve product
quality, it must ensure the quality of incoming materials through
incoming inspection methods for important raw materials. Therefore,
incoming inspection are one of the important in the semiconductor
industry. Improve the quality information system of the incoming
inspection unit of the case company in the semiconductor packaging
industry to meet the requirements of system integration and digital
transformation, and establish a data integrity database for the
application of big data analysis. Use the six sigma DMAIC method to
discuss the integrity of the quality information system database for iii
incoming material inspection, use the project-based framework process
to expand DMAIC, use the SIPOC tool to define the scope of the problem
and establish a project team in the definition phase, and the company′s
incoming material inspection quality of information system is composed
of three major systems and two types of interfaces. The scope is
narrowed to the measurement and inspection database to discuss the
incompleteness of the database; the measurement phase is to collect
the data from January to March 2021 integrity of the database. It is
39%, which is obviously low. Using Plato analysis and 80/20 theory,
the top 20% of important variables affect 80% of efficiency. Find out
the top 20% of important factors to discuss and define key performance
indicators; and the analysis stage Use the characteristic factor
diagram, explore the influencing factors of abnormal problems, and
carry out improvement measures; use the standard procedure (SOP) to
set the system interface operation and inspection operation precautions
in the control phase to shorten the learning time of new recruits to
face unfamiliar and complicated process. To achieve the purpose of this
research, the three main points are to explore how to use the six sigma
deviation DMAIC strategy to improve the integrity of the measurement
data database in the quality information system of the incoming
material inspection, and secondly, to establish a complete quality
information system measurement database to facilitate the future End
big data analysis, and finally through this analysis, provide a
reference for the improvement of quality information systems for other
companies with the same background. | en_US |