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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5SHX1445H0001 Servo driver
5SHX1060H0003 Driving circuit
5SHX06F6004
5KCP39PG motor
5AP1130.156C-000 touch screen
4PP220.0571-R5 touch screen
4P3040 Touch screen
3HNA025019-001
3HNA015149-001 Electric machine
3HAC040658-001Electric machine
3HAC026272-001 module
3HAC025917-001 Digital input/output module
3HAC025562-00106 Capacitance unit
3HAC025562-001 Capacitance unit
3HAC025466-001 fan
3HAC025338-006 Servo drive unit
3HAC17484-8108 Rotating ac motor
3HAC17326-102 Motor M26 Type B
3HAC16831-1 LITHIUM 34X102X63
3BHE039203R0101-GVC736CE101
3BHB003688R0101
3BE101 Digital input/output module
3BDH000741R1 Temperature input
3AUA0000040000 Drive maintenance tool
3ASC25H204 Power module
3AFE61320946P0001 Central processing
2RCA007120D2RCA007128A0001C relay
2RCA006836A0001E Feeder protection
2RCA006835A0002E2RCA021946B Output adapter module
2RAA005904A0001 Operating interface
2N3A8204-B transistor
2MLL-EFMTB-CC Ethernet
2DS100.60-1 Automated production line
2CP200.60-1 Industrial PC
2CCS862001R0105 High performance circuit breaker
1X00797H01L Power module.
1X00781H01L Decentralized control system
1X00416H01 Power module
1VCF752000 Feeder terminal
1TGE120028R0010 System interface
1TGE120021R0010 Configuration switch
1TGE120011R1001 Driving power supply
1SVR040000R1700 Universal signal converter
1SVR011718R2500
1SNA684252R0200 Ethernet converter
1SAR700012R0005 Pluggable interface relay
Analog input/output module 1SAP250100R0001
Terminal unit 1SAJ924007R0001
1MRS050729 Ethernet gateway
1C31124G01 module
1C31116G04 Voltage band temperature sensor
0-60028-2 Driver interface module
0-60023-5 Ac power module
0-60007-2 Drive power module
0-57510 Variable speed driver
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