Intelligent Production Analysis of Industrial 4.0
Foxconn - Introducing Smart Factory Management System
Foxconn is a global electronics (computers, communications, consumer electronics) OEM giant. It is a large scale international group with complete development management structures...
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IoT Manufacturing Machine Case- KNIME Error Detection and Prediction System
The manufacturing industry hopes to run the machines for longer times with less major parts breaking or being replaced. On the other hand, companies also hope to avoid machines to break completely less to avoid major losses...
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LED Packaging Manufacturing Case- Introducing the iPASP System
There are numerous production methods and machines involved in high tech manufacturing. If production staff have to do scheduling by hand, it is not only time consuming, staff must consider material and production capability restrictions...
Learn morePlastic Mold Industry Case- Introducing the iPASP System
The manufacturing schedule must accommodate the constant changing sizes and designs of plastic molds. Increased edge materials and frequent material pick ups from inventory increase material costs and administrative process troubles.
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Semi-conductor IC Testing Case- Introducing the iPASP System
The IC testing industry has different production procedures, UPH, machines, and related accessory resources depending on different clients and products. The relationships and related restrictions of these factors...
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Precision Technology Industry Case- Introducing the iPASP System
The precision technology market is always changing rapidly. Product orders are low in quantity but high in diversity. Companies must adjust their production methods, material storage, machine monitoring, preventive maintenance...
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Certain Manufacturer- MicroStrategy Sales Analysis Management Platform
To improve the manufacturer's competitiveness, the plan is to introduce the latest technologies and applications on the market to create a "sales analysis management platform" It integrates all the data ...
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POSCO Korea Steel Plant- IBM SPSS Modeler Quality Prediction and Control System
POSCO uses IBM SPSS Modeler as their base to develop prediction and control systems for product quality control. This will effectively stablize the quality of steel products. When the response variable varies from the set value...
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