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.
ABB UNITROL 1010 3BHE035301R1002/UNS0121A-Z,V1
ABB 3BHE030579R0001
ABB UNITROL 1020 3BHE030579R0001
UNITROL 1020 3BHE030579R0003 UNS0119A-Z,V1 3BHE030579R0001
ABB 3BHE030579R0003
ABB UNS0119A-Z,V1
ABB UNITROL 1020
ABB UNS0119A-Z,V1 3BHE030579R0003
ABB UNITROL 1020 3BHE030579R0003
ABB UNITROL 1020 UNS0119A-Z,V1
ABB UNITROL 1020 UNS0119A-Z,V1 3BHE030579R0003
ABB 3BHE014557R6104
ABB UNITROL1000 B-Z V104
ABB UNITROL1000 B-Z V104 3BHE014557R6104
ABB 3BHE014557R0003
ABB UNITROL1000 Z.V3
ABB UNITROL1000 Z.V3 3BHE014557R0003
ABB 1SAP565200R0001
ABB CP665-WEB
ABB CP665-WEB 1SAP565200R0001
ABB 1SAP551200R0001
ABB CP651-WEB
ABB CP651-WEB 1SAP551200R0001
ABB 1SAP551100R000
ABB CP651
ABB CP651 1SAP551100R000
ABB 1SAP550100R0001
ABB CP650
ABB CP650 1SAP550100R0001
ABB 1SAP520100R0001
ABB CP620
ABB CP620 1SAP520100R0001
ABB 1SAP507100R0001
ABB CP607
ABB CP607 1SAP507100R0001
ABB 1SBP260179R1001
ABB CP555
ABB CP555 1SBP260179R1001
ABB CP554
ABB 1SBP260175R1001
ABB CP513
ABB CP513 1SBP260175R1001
ABB 1SBP260173R1001
ABB CP511
ABB CP511 1SBP260173R1001
ABB 1SBP260190R1001
ABB CP502
ABB CP502 1SBP260190R1001
ABB 1SBP260170R1001
ABB CP501
ABB CP501 1SBP260170R1001
ABB 1SBP260172R1001
ABB CP503
ABB CP503 1SBP260172R1001
ABB 1SBP260189R1001
ABB CP450T-ETH
Reviews
There are no reviews yet.