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Journey to Industry 4.0
and beyond with
Cognitive Manufacturing
2
We’re entering the fourth revolution of industry and it is fully differentiated
from any that came before it
Line
Produc...
3
collected manufacturing
and enterprise data
Smarter
Supply Chain
Management
Smarter
Energy
Smarter
Factory
Operations
Sm...
4
To capture the potential of the cognitive manufacturing transformation,
we focus on three key pillars of manufacturing t...
5
Intelligent Assets and Equipment
Intelligent assets and equipment utilizes IoT and cognitive capabilities to
sense, comm...
6
Auto manufacturers are utilizing the
analytics capabilities of Watson IoT
combined with new sources of real-time
data to...
7
Equipment downtime can be significantly
reduced by combining the power of IoT
with cognitive capability. Not only can
Wa...
8
Cognitive Process and Operations
Cognitive operations and processes bring more certainty to business by
analyzing a vari...
9
With quality analytics from Watson IoT
manufacturers can analyze hundreds of
process variables, historic and real-time, ...
10
By utilizing cognitive capabilities, Watson
IoT can bring in unstructured data such as
image and video which enriches t...
11
Smarter Resource and Optimization
Utilize IoT and cognitive insight to optimize the resources engaged around
production...
12
Industrial manufacturers are using Watson
IoT to help employees stay safer in
dangerous environments. The solution
dete...
13
Engineers are training Watson to collate
30+ years of engineering experience in
managing liquid gas facilities to creat...
14
Embracing cognitive manufacturing
Collect the
Data
Collect and curate the
right data— data on
processes and
operations ...
15
Differentiating elements of Watson IoT technology and ecosystem
Partnered
Innovation
Open ecosystem
Device partnerships...
Journey to Industry 4.0 and beyond with Cognitive Manufacturing
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Journey to Industry 4.0 and beyond with Cognitive Manufacturing

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A look at how cognitive computing is driving new productivity and gains in the manufacturing industry. TO learn more: http://www.ibm.com/internet-of-things/iot-solutions/connected-manufacturing/

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Journey to Industry 4.0 and beyond with Cognitive Manufacturing

  1. 1. Journey to Industry 4.0 and beyond with Cognitive Manufacturing
  2. 2. 2 We’re entering the fourth revolution of industry and it is fully differentiated from any that came before it Line Production Electrification & Automation Miniaturization & Global Scale Cognitive Manufacturing Complexity Era 1783 1870 1960 2020 Water, steam, and conveyors; modern materials handling Assembly systems: Lighting, electricity and assembly lines Embedded systems: Semiconductors, computers, information technologies and increase in trade Cyber-physical systems: sensors, big data, predictive analytics, cognitive computing, cyber- physical systems, robotics, 3D printing
  3. 3. 3 collected manufacturing and enterprise data Smarter Supply Chain Management Smarter Energy Smarter Factory Operations Smarter Product Design Smarter Employee Safety Smarter Quality made into a transparent, comprehensive, interactive, minable corpus of information that makes visible new patterns in the data to continuously monitor, predict, respond and interact with humans and machines To deliver Smarter Equipment Maintenance Cognitive Manufacturing applies cognitive capabilities to digitize and optimize previously inaccessible areas of manufacturing processes
  4. 4. 4 To capture the potential of the cognitive manufacturing transformation, we focus on three key pillars of manufacturing that drive the highest improvement Intelligent Asset and Equipment Smarter Resources and Optimization Cognitive Process and Operations
  5. 5. 5 Intelligent Assets and Equipment Intelligent assets and equipment utilizes IoT and cognitive capabilities to sense, communicate and self-diagnose issues so they can optimize their performance and reduce unnecessary downtime  Prevent production delays and improve line performance with better asset visibility  Reduce equipment downtime and increase process efficiency with industry models  Expedite equipment repairs through predictive and cognitive analytics Decrease in equipment downtime at major global auto manufacturer 34%
  6. 6. 6 Auto manufacturers are utilizing the analytics capabilities of Watson IoT combined with new sources of real-time data to gain new predictions and prescription on improving equipment availability and performance. Using prebuilt industry models, manufacturer can spend less to analyzing and more time doing.
  7. 7. 7 Equipment downtime can be significantly reduced by combining the power of IoT with cognitive capability. Not only can Watson IoT predict what and when failures can happen, it can utilize cognitive capabilities to advise a user on exactly how to fix and resolve these failures.
  8. 8. 8 Cognitive Process and Operations Cognitive operations and processes bring more certainty to business by analyzing a variety of information from workflows, context and environment to drive quality, enhance operations and decision-making.  Increase yield of your manufacturing operations and processes  Improve productivity of your manufacturing line with early quality detection  Expedite service calls and repairs and reduce warranty costs Increase in overall productivity at major European automaker 25%
  9. 9. 9 With quality analytics from Watson IoT manufacturers can analyze hundreds of process variables, historic and real-time, to identify issues contributing to quality issues and resolve them before they occur. This drastically improves productivity and yield while reducing operation and material costs.
  10. 10. 10 By utilizing cognitive capabilities, Watson IoT can bring in unstructured data such as image and video which enriches the information around manufacturing processes. Combined with other IoT data, this information can produce more accurate predictions and better insights
  11. 11. 11 Smarter Resource and Optimization Utilize IoT and cognitive insight to optimize the resources engaged around production, whether that’s keeping production line workers safe, improving the expertise of the entire workforce or optimizing energy consumption  Improve worker safety and gain better workforce management  Increase worker productivity and expertise  Reduce energy consumption of your facilities and buildings Reduced energy and resource costs at manufacturing facility by 8%
  12. 12. 12 Industrial manufacturers are using Watson IoT to help employees stay safer in dangerous environments. The solution detects hazardous environments and provides real-time alerts to employees and employers enabling preventive measures if physical well-being is compromised or safety procedures have not been applied.
  13. 13. 13 Engineers are training Watson to collate 30+ years of engineering experience in managing liquid gas facilities to create a cognitive advisory service to help employees across the organization resolve problems faster, improve process flow and achieve better operational outcomes.
  14. 14. 14 Embracing cognitive manufacturing Collect the Data Collect and curate the right data— data on processes and operations you would like to improve, data across your systems, both structured and unstructured. Connect systems and sensors to bring in real-time data for more accurate insights Visualize the Patterns Visualize your data on a platform. Quickly build up dashboards and use simple analytics to determine patterns. Supplement with external sources of data and analyze variables that impact the process and operation you would like to improve. Analyze with Purpose Apply purpose driven analytics to gain new insights from you data Developed advanced models, process a combination of variables and utilize the prediction engine to generate the best recommendations the drive the most business results Deliver with Cognitive Whether it’s dealing with vast amounts of IoT data or dark and unstructured data, cognitive capabilities brings light and clarity. Take advantage of the processing power of cognitive to enable you to act, resolve, and deliver better
  15. 15. 15 Differentiating elements of Watson IoT technology and ecosystem Partnered Innovation Open ecosystem Device partnerships Embedded security Edge Analytics Data Integration Weather data Social data Application data Platform of platforms Advanced Analytics Predictive Analytics Real-time Analytics Data Mining Optimization Cognitive Technology Natural Language Processing Machine Learning Textual Analytics Video/Image Analytics

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