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A CASE STUDY ON USING IOT TO
IMPROVE MANUFACTURING
EFFICIENCY
DENSON NGUMO,
2016 OPEN DATA FELLOW,
ICT AUTHORITY,
NAIROBI,KENYA.
Problem: How can I improve
manufacturing efficiency?
Customers:
 Industrial Manufacturers
Needs to address:
 Minimize machinery maintenance cost
 Optimize manufacturing processes
Traditional Solution
The user(the industrial manufacturer) buys the equipment upfront and can face
high maintenance costs. Different suppliers may be involved in selling and
supporting the equipment.
IoT Solution & Benefits
 A solution would be to use a remote monitoring solution powered by IoT in
the manufacturing plants. The industrial manufacturer pays for the equipment
and maintenance to the IoT company.
 The solution would provide important, real-time critical data such as machine
downtime, production metrics, quality and much more.
 The solution would make use of sensors in the machines, data visualization and
analytic tools and mobile/web apps.
IoT Solution and Benefits
IoT Solution and Benefits
The benefits of such a system would be:
 Predictive maintenance of equipment.
 Optimization of energy usage.
 Monitoring of assets remotely.
 Decrease safety hazards in the workplace.
 Insights for decision makers based on data science and easy to understand
real-time reports
Technologies
Feature Requirement Comment
Network Area Wide A wide area network is required because the remote monitoring solution
will need to send data to remote monitoring headquarters.
Spectrum Dedicated The connectivity service should be reliable.
Battery Life Short/N/A Power can be generated by generators at the industrial plant.
Connectivity cost Medium Due to the type of technology being used.
Module cost High It being an industrial application means that the cost won’t be an issue as
there will be cost savings in other areas.
Bandwidth Low to High The data being sent can be from low to high depending on what’s being
monitored.
Technologies: 4G/3G
Business models
The suitable business model for such a solution would be Product-as-a-Service.
The IoT company charges a recurring fee to the industrial manufacturer. This fee
includes the use of the equipment and its maintenance.
The equipment is owned by the IoT company, who by actively monitoring it, may
pre-empt potentially serious issues resulting in expensive maintenance.
Business Models
The IoT solution can perform predictive maintenance, allowing the end user to benefit from lower
or no disruption and more affordable cost
End User
IoT company
Equipment Maintenance
Operational Issues & policy topics
The following would be the operational considerations:
 Interference from other wireless technologies in the area.
 Network Coverage
 Machine failure/malfunction which could not only lead to loss of money but
loss of life as well in the case of workers being injured.
The following policy areas would be considered:
 Privacy and confidentiality of the manufacturer’s data being handled by the
system.
REFERENCES
 http://www.forbes.com/sites/ptc/2014/07/01/how-the-internet-of-things-
is-transforming-manufacturing/#3d0f7bc3228e
 http://www.softwebiot.com/iot-use-cases/how-iot-can-tranform-the-
manufacturing-industry/
THANK YOU

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GSMA Final Project by Denson Ngumo

  • 1. A CASE STUDY ON USING IOT TO IMPROVE MANUFACTURING EFFICIENCY DENSON NGUMO, 2016 OPEN DATA FELLOW, ICT AUTHORITY, NAIROBI,KENYA.
  • 2. Problem: How can I improve manufacturing efficiency? Customers:  Industrial Manufacturers Needs to address:  Minimize machinery maintenance cost  Optimize manufacturing processes
  • 3. Traditional Solution The user(the industrial manufacturer) buys the equipment upfront and can face high maintenance costs. Different suppliers may be involved in selling and supporting the equipment.
  • 4. IoT Solution & Benefits  A solution would be to use a remote monitoring solution powered by IoT in the manufacturing plants. The industrial manufacturer pays for the equipment and maintenance to the IoT company.  The solution would provide important, real-time critical data such as machine downtime, production metrics, quality and much more.  The solution would make use of sensors in the machines, data visualization and analytic tools and mobile/web apps.
  • 5. IoT Solution and Benefits
  • 6. IoT Solution and Benefits The benefits of such a system would be:  Predictive maintenance of equipment.  Optimization of energy usage.  Monitoring of assets remotely.  Decrease safety hazards in the workplace.  Insights for decision makers based on data science and easy to understand real-time reports
  • 7. Technologies Feature Requirement Comment Network Area Wide A wide area network is required because the remote monitoring solution will need to send data to remote monitoring headquarters. Spectrum Dedicated The connectivity service should be reliable. Battery Life Short/N/A Power can be generated by generators at the industrial plant. Connectivity cost Medium Due to the type of technology being used. Module cost High It being an industrial application means that the cost won’t be an issue as there will be cost savings in other areas. Bandwidth Low to High The data being sent can be from low to high depending on what’s being monitored. Technologies: 4G/3G
  • 8. Business models The suitable business model for such a solution would be Product-as-a-Service. The IoT company charges a recurring fee to the industrial manufacturer. This fee includes the use of the equipment and its maintenance. The equipment is owned by the IoT company, who by actively monitoring it, may pre-empt potentially serious issues resulting in expensive maintenance.
  • 9. Business Models The IoT solution can perform predictive maintenance, allowing the end user to benefit from lower or no disruption and more affordable cost End User IoT company Equipment Maintenance
  • 10. Operational Issues & policy topics The following would be the operational considerations:  Interference from other wireless technologies in the area.  Network Coverage  Machine failure/malfunction which could not only lead to loss of money but loss of life as well in the case of workers being injured. The following policy areas would be considered:  Privacy and confidentiality of the manufacturer’s data being handled by the system.