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INDUSTRIAL PERFORMANCE OPTIMIZATION
OVERVIEW OF THE RELAYR SOLUTION FOR MANUFACTURING
PERFORMANCE OPTIMIZATION SOLUTION OVERVIEW
The relayr Performance Optimization Solution creates a score that quantifies the productivity of planned
production time in an industrial process. By capturing data from sensors within the industrial process
equipment, the solution can benchmark and analyze the real-time performance of the overall process.
Areas requiring improvement are then highlighted, allowing the associated equipment to be optimized.
This allows operators to work towards a ‘perfect’ productivity score whilst continually monitoring how
well the existing system is performing.
Blow Molder
OPERATION STATUS
100%
92%
99%
97%
STATUS
AVAILABILITY
PERFORMANCE
QUALITY
Filler
OPERATION STATUS
94%
92%
96%
94%
STATUS
AVAILABILITY
PERFORMANCE
QUALITY
Labeler
OPERATION STATUS
94%
92%
96%
93%
STATUS
AVAILABILITY
PERFORMANCE
QUALITY
Packer
OPERATION STATUS
86%
74%
83%
81%
STATUS
AVAILABILITY
PERFORMANCE
QUALITY
Palletiser
OPERATION STATUS
100%
99%
100%
99%
STATUS
AVAILABILITY
PERFORMANCE
QUALITY
Total
92,8%
Total considering
all machines involved
in this process
A performance score of 100% represents perfect production:
manufacturing only good parts, as fast as possible, with no
down time. The score is calculated from three underlying
factors: availability, performance, and quality. Each of these
factors represents a different perspective of how close your
manufacturing process is to perfect performance. Analytics can
then be undertaken on the data to highlight areas requiring
improvement, striving to perfect the manufacturing process.
PERFORMANCE OPTIMIZATION
SOLUTION ARCHITECTURE CHART
EXAMPLE OF A RELAYR PERFORMANCE OPTIMIZATION SOLUTION DASHBOARD
INDUSTRIAL PERFORMANCE OPTIMIZATION
OPTIMIZING THE PERFORMANCE WILL PAY GREATER DIVIDENDS BY ALLOWING A MANUFACTURING
PLANT TO IMPROVE OPERATOR PERFORMANCE, AND LOWER OVERALL DOWNTIME
MAIN PARAMETERS
WE WANT TO MEASURE
WITH THE PERFORMANCE
OPTIMIZATION PLATFORM:
Performance: takes into account slow cycles and
small stops. A Performance score of 100% means the
process is running as fast as possible.
Quality: takes into account defects (including parts
that need rework). A quality score of 100% means
there are no defects (only good parts are being
produced).
Availability: takes into account unplanned and
planned stops. An availability score of 100% means
the process is always running during planned
production time.
INDUSTRIAL PERFORMANCE OPTIMIZATION
RELAYR PERFORMANCE
OPTIMIZATION SOLUTION FOR
PACKAGING LINES
The relayr performance optimization solution for packaging
lines will be installed in the relayr cloud and will receive data
from both existing PLCs and some new sensors that will be
installed at the customer’s site. The users that may use the plat-
form are the production line supervisors, plant managers and C
level managers.
KEY FEATURES OF THE
PERFORMANCE OPTIMIZATION
PLATFORM
Customized dashboard
Graphs and charts customized by filters
Rule engine for detecting alerts
“Off the shelf” packaged product and quick installation
Flexible packaging of services
Advanced analytics methods for historic data
Real-time notification about performance and quality issues
INDUSTRIAL PERFORMANCE OPTIMIZATION
Y
X
Z
1.3
1.8
-1.8
0
5000
2500
260
1160
710
00:00
01:00
02:00
03:00
04:00
05:00
06:00
30db
40db
50db
60db
70db
80db
X
1.8
Z
1.3
Y
-1.8
-40
125
43
DASHBOARD
GATEWAY DATA
ANALYTICS
SENSORKITS
PERFORMANCE
OPTIMIZATION
PLATFORM
GENERAL ARCHITECTURE
MIDDLEWARE
PLC
PRODUCT LINE
THE FOLLOWING CHART
DESCRIBES THE PERFORMANCE
OPTIMIZATION PLATFORM,
INCLUDING ALL OF ITS MAIN
COMPONENTS AND PROCESSES
THE INFORMATION FROM YOUR PRODUCT LINE IS STORED AND
PROCESSED ON A GATEWAY POWERED BY RELAYR VERTEX, THE
MIDDLEWARE WHICH ENABLES THE CONNECTION WITH MULTIPLE
SOURCES OF DATA BEING PUSHED TO OUR CUSTOMIZABLE
DASHBOARD
INDUSTRIAL PERFORMANCE OPTIMIZATION
THE SENSORS WE USE TO
RECEIVE DATA FROM THE
MANUFACTURING FACTORIES:
MEASURED PROPERTY MIN VALUE MAX VALUE UNIT
TEMPERATURE
HUMIDITY
VIBRATION
ATMOSPHERIC
PRESSURE
AUDIO SPECTRUM
AIR PRESSURE
-30 70 ºC
0 100 %
0 25 Mm/s
0 1.6 Bar
0 127 NaN
0 10 Bar
THIS DATA CAN BE USED TO MAKE A “SMART ANALYSIS” OF HISTORIC DATA
FROM THE PRODUCTION LINES. WE CAN DO A SMART COMPARISON OF DATA
DURING SPECIFIC TIME FRAMES, BASED ON OUR RULES ENGINE MODULE.
INDUSTRIAL PERFORMANCE OPTIMIZATION
PERFORMANCE
OPTIMIZATION
METRICS FOR
MANUFACTURING
FACTORIES
Increase efficiency - The user will be able to view output related to the inventory
which is used on each production line.
Decrease machine downtime - The OEE should display accumulated data about
downtime of a machine, production line, and/or factory. The user will be able to define
thresholds and alerts.
Visualize performance - The performance of the whole factory down to each indivi-
dual production line will de displayed according to rules defined by the rules engine.
Yield - Percentage of products which are created correctly: one of the most important
parameters which are measured and tracked by the OEE platform is efficiency. That
translates to how many “good” products can we produce in a specific time period.
Energy cost per unit - How much we invest in energy for each unit which we produce
at the production line.
INDUSTRIAL PERFORMANCE OPTIMIZATION
INDUSTRIALPERFORMANCEOPTIMIZATION
relayr is a rapidly growing IoT company, providing enterpri-
se middleware for the digital transformation of industries.
Our goal is to enable manufacturers of all sizes to develop
their own IoT solutions, from ideation to successful rollout
within one business quarter.
www.relayr.io info@relayr.io

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relayr IOT solutions - industrial performance optimization

  • 1. INDUSTRIAL PERFORMANCE OPTIMIZATION OVERVIEW OF THE RELAYR SOLUTION FOR MANUFACTURING PERFORMANCE OPTIMIZATION SOLUTION OVERVIEW The relayr Performance Optimization Solution creates a score that quantifies the productivity of planned production time in an industrial process. By capturing data from sensors within the industrial process equipment, the solution can benchmark and analyze the real-time performance of the overall process. Areas requiring improvement are then highlighted, allowing the associated equipment to be optimized. This allows operators to work towards a ‘perfect’ productivity score whilst continually monitoring how well the existing system is performing.
  • 2. Blow Molder OPERATION STATUS 100% 92% 99% 97% STATUS AVAILABILITY PERFORMANCE QUALITY Filler OPERATION STATUS 94% 92% 96% 94% STATUS AVAILABILITY PERFORMANCE QUALITY Labeler OPERATION STATUS 94% 92% 96% 93% STATUS AVAILABILITY PERFORMANCE QUALITY Packer OPERATION STATUS 86% 74% 83% 81% STATUS AVAILABILITY PERFORMANCE QUALITY Palletiser OPERATION STATUS 100% 99% 100% 99% STATUS AVAILABILITY PERFORMANCE QUALITY Total 92,8% Total considering all machines involved in this process A performance score of 100% represents perfect production: manufacturing only good parts, as fast as possible, with no down time. The score is calculated from three underlying factors: availability, performance, and quality. Each of these factors represents a different perspective of how close your manufacturing process is to perfect performance. Analytics can then be undertaken on the data to highlight areas requiring improvement, striving to perfect the manufacturing process. PERFORMANCE OPTIMIZATION SOLUTION ARCHITECTURE CHART EXAMPLE OF A RELAYR PERFORMANCE OPTIMIZATION SOLUTION DASHBOARD INDUSTRIAL PERFORMANCE OPTIMIZATION OPTIMIZING THE PERFORMANCE WILL PAY GREATER DIVIDENDS BY ALLOWING A MANUFACTURING PLANT TO IMPROVE OPERATOR PERFORMANCE, AND LOWER OVERALL DOWNTIME
  • 3. MAIN PARAMETERS WE WANT TO MEASURE WITH THE PERFORMANCE OPTIMIZATION PLATFORM: Performance: takes into account slow cycles and small stops. A Performance score of 100% means the process is running as fast as possible. Quality: takes into account defects (including parts that need rework). A quality score of 100% means there are no defects (only good parts are being produced). Availability: takes into account unplanned and planned stops. An availability score of 100% means the process is always running during planned production time. INDUSTRIAL PERFORMANCE OPTIMIZATION
  • 4. RELAYR PERFORMANCE OPTIMIZATION SOLUTION FOR PACKAGING LINES The relayr performance optimization solution for packaging lines will be installed in the relayr cloud and will receive data from both existing PLCs and some new sensors that will be installed at the customer’s site. The users that may use the plat- form are the production line supervisors, plant managers and C level managers. KEY FEATURES OF THE PERFORMANCE OPTIMIZATION PLATFORM Customized dashboard Graphs and charts customized by filters Rule engine for detecting alerts “Off the shelf” packaged product and quick installation Flexible packaging of services Advanced analytics methods for historic data Real-time notification about performance and quality issues INDUSTRIAL PERFORMANCE OPTIMIZATION
  • 5. Y X Z 1.3 1.8 -1.8 0 5000 2500 260 1160 710 00:00 01:00 02:00 03:00 04:00 05:00 06:00 30db 40db 50db 60db 70db 80db X 1.8 Z 1.3 Y -1.8 -40 125 43 DASHBOARD GATEWAY DATA ANALYTICS SENSORKITS PERFORMANCE OPTIMIZATION PLATFORM GENERAL ARCHITECTURE MIDDLEWARE PLC PRODUCT LINE THE FOLLOWING CHART DESCRIBES THE PERFORMANCE OPTIMIZATION PLATFORM, INCLUDING ALL OF ITS MAIN COMPONENTS AND PROCESSES THE INFORMATION FROM YOUR PRODUCT LINE IS STORED AND PROCESSED ON A GATEWAY POWERED BY RELAYR VERTEX, THE MIDDLEWARE WHICH ENABLES THE CONNECTION WITH MULTIPLE SOURCES OF DATA BEING PUSHED TO OUR CUSTOMIZABLE DASHBOARD INDUSTRIAL PERFORMANCE OPTIMIZATION
  • 6. THE SENSORS WE USE TO RECEIVE DATA FROM THE MANUFACTURING FACTORIES: MEASURED PROPERTY MIN VALUE MAX VALUE UNIT TEMPERATURE HUMIDITY VIBRATION ATMOSPHERIC PRESSURE AUDIO SPECTRUM AIR PRESSURE -30 70 ºC 0 100 % 0 25 Mm/s 0 1.6 Bar 0 127 NaN 0 10 Bar THIS DATA CAN BE USED TO MAKE A “SMART ANALYSIS” OF HISTORIC DATA FROM THE PRODUCTION LINES. WE CAN DO A SMART COMPARISON OF DATA DURING SPECIFIC TIME FRAMES, BASED ON OUR RULES ENGINE MODULE. INDUSTRIAL PERFORMANCE OPTIMIZATION
  • 7. PERFORMANCE OPTIMIZATION METRICS FOR MANUFACTURING FACTORIES Increase efficiency - The user will be able to view output related to the inventory which is used on each production line. Decrease machine downtime - The OEE should display accumulated data about downtime of a machine, production line, and/or factory. The user will be able to define thresholds and alerts. Visualize performance - The performance of the whole factory down to each indivi- dual production line will de displayed according to rules defined by the rules engine. Yield - Percentage of products which are created correctly: one of the most important parameters which are measured and tracked by the OEE platform is efficiency. That translates to how many “good” products can we produce in a specific time period. Energy cost per unit - How much we invest in energy for each unit which we produce at the production line. INDUSTRIAL PERFORMANCE OPTIMIZATION
  • 8. INDUSTRIALPERFORMANCEOPTIMIZATION relayr is a rapidly growing IoT company, providing enterpri- se middleware for the digital transformation of industries. Our goal is to enable manufacturers of all sizes to develop their own IoT solutions, from ideation to successful rollout within one business quarter. www.relayr.io info@relayr.io