Description
hardware flow control. It is an ideal choice in the field of industrial automation.
3 Case Studies on Reducing Scrap Rates
Any product assembled or produced in a factory goes through a series of quality tests to determine whether it needs to be scrapped.
High scrap rates are caused by the opportunity cost of not delivering products to customers in a timely manner, wasted personnel time, wasted
non-reusable parts, and equipment overhead expenses. Reducing scrap rates is one of the main issues manufacturers need to address. Ways to
reduce scrap include identifying the root causes of low product quality.
3.1 Data processing
Root cause analysis begins by integrating all available data on the production line. Assembly lines, workstations, and machines make up the industrial
production unit and can be considered equivalent to IoT sensor networks. During the manufacturing process, information about process status,
machine status, tools and components is constantly transferred and stored. The volume, scale, and frequency of factory production considered in
this case study necessitated the use of a big data tool stack similar to the one shown in Figure 2 for streaming, storing, preprocessing, and
connecting data. This data pipeline helps build machine learning models on batch historical data and streaming real-time data. While batch
data analytics helps identify issues in the manufacturing process, streaming data analytics gives factory engineers regular access to the latest
issues and their root causes. Use Kafka (https://kafka.apache.org) and Spark streaming (http://spark.apache.org/streaming) to transmit real-time
data from different data sources; use Hadoo (http://hadoop.apache.org ) and HBase (https://hbase.apache.org) to store data efficiently; use
Spark (http://spark.apache.org) and MapReduce framework to analyze data. The two main reasons to use these tools are their availability as open
source products, and their large and active developer network through which these tools are constantly updated.
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IC800VMA302 | GE | 3000W Servo Amplifiers
IC800VMA202 | GE | 2000W Servo Amplifiers
IC800VMA072 | GE | 750 Watt Servo Amplifier
IC800VMA102 | GE | servo amplifier
IC800VMA022 | GE | Servo Amplifiers
IC800VMA012 | GE | servo amplifier
IC800SSI420RP2 | GE | 460 VAC S2K Controller
IC800SSI420RD2 | GE | 460 VAC S2K Controller
IC800SSI407RS1 | GE | 460 VAC S2K Controller
IC800SSI407RP2 | GE | 460 VAC S2K Controller
IC800SSI407RD2 | GE | 460 VAC S2K Controller
IC800SSI228RP2 | GE | 230 VAC S2K Controller
IC800SSI228RD2 | GE | Servo Motor Controller
IC800SSI216RP2 | GE | 230 VAC S2K Controller
IC800SSI216RD2 | GE | 230 VAC S2K Controller
IC800SSI107RS1 | GE | 115/230 VAC S2K Controlle
IC800SSI107RP2 | GE | 115/230 VAC S2K Controller
IC800SSI104RS1 | GE | , 115/230 VAC S2K Controller Extended I/O
IC800SSI104RP2 | GE | 115/230 VAC S2K Controller
IC800SSI104RD2 | GE | 115/230 VAC S2K Controller
IC800STI105S1 | GE | Stepper Controller Extended I/O
IC800STI105P2 | GE | step controller
IC800STI105D2 | GE | Stepper Controller
IC693CPU372 | GE | Ethernet communication module
IC693CPU374 | GE | CPU module
IC693CPU370 | GE | High-performance CPU
IC693CPU364 | GE |CPU module
IC693CPU366 | GE | CPU main module
IC693CPU364 | GE | CPU module
IC693CPU360 | GE | 360 CPU
IC693CPU351 | GE | Single-slot CPU module
IC693CPU350 | GE | I/O system modules
IC693CPU341 | GE | CPU module
IC693CPU340 | GE | 1-slot CPU 340 module
IC693CPU323 | GE | 10 tank Base Turbo CPU
IC693CPU313 | GE | Embedded CPU
IC693CPU311 | GE | CPU backplane module
IC695MDL664 | GE | Digital I/O Modules
IC695LRE001 | GE | communication module
IC695HSC308 | GE | high speed counter
IC695HSC304 | GE | RX3i HSC304 High Speed Counter
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