| dc.description.abstract | This study is a case study on a electronic manufacturer, whose customers are world class manufacturers having very stringent inspection report requirements for shipments of orders. A major requirement is that of automatic data collection during the manufacturing processes, including inspection reports on statistical process/ quality control (SPC/SQC, Defect Data), machining parameters (Set Value, Process Value) and other relevant settings. For parts with relatively poor yields, the reporting requirements even include total inspection data, real-time data collecting and monitoring/control mechanism. Since the majority of machines are PLC-based, and there are many different types of PLC’s devices, there is currently no packaged solution in the market that can cover all the functions needed to perform the total data collection requirement. Thus, the case company has to custom design and implement an architecture to carry out inter-machine connection and data collection.
Since there is a large number of connecting machines, coupled with very large number of customized matching features, any mismatch or irregularities may result in disruptions of the IT Services. If the recovery plan is not well laid out, there will be a loss of data during the network outage. In the worst case, this may result in a customer switching its order on this item to competitors.
Thus, the aims of this study is to design a mechanism to improve the process of data collection, so that under severe resource constraints, the system can still provide appropriate information, inform the right people, quickly identify problems, reducing recovery time for data collection, and also enhance the trust of the customer on the company’’s product quality control.
| en_US |