T Holden,RA Schmidt - 《Industrial Management & Data Systems》 被引量: 19发表: 2001年 First principles of concurrent engineering: A competitive strategy for electronic product development. CALS/concurrent engineering task group-electronic sy... The U.S. electronics industry is in trouble. Progressiv...
Finally, another common use for AI is in the field of data science and analytics. One of the most common uses is inpredictive analytics, but AI can also be useful in data analysis. Most crucially, using AI analytics helps companies to scale their analytics and allows them to have accurate...
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Semiconductors are materials with conductivity between conductors and insulators. Understand the properties, applications, uses and types of semiconductors with examples.
Types of Capital Goods Capital goods are thetangible assetsused to produce products to create finished products. However, capital goods are not limited to commonfixed assetssuch as machinery and manufacturing equipment. The industrial electronics industry produces devices, which are capital goods that ra...
IoT devices are used in a wide range of businesses and industries, which result in large quantities of diverse data. Most IoT devices are able to collect data from their environment, like smart speakers listening to commands or industrial drones collecting data on crop conditions. The collected ...
Industrial internet of things (IIoT) Logistics management Product lifecycle management Quality management system (QMS) Requirements management Service lifecycle management Supply chain management Manufacturing Factory automation IC manufacturing Manufacturing execution system Part manufacturing PCB manufacturing Process...
Consumer electronics Many of the world’s most profitable companies—such as Apple—make devices for the consumer electronics industry. The rampant demand for personal computing platforms (like smartphones, laptops and gaming consoles) has driven a massive and ongoing expansion of CPU use. Beyond tha...
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In light of many advances in electronics and computer technologies, process measurements are still made largely by conventional sensors such as thermocouples, RTDs, strain gage pressure sensors, DP cells, etc. There are smart sensors, fiber optic sensors, and wireless sensors which have contributed ...