IoT Systems Case Studies Vacuum Pump Solution Avoids Unplanned Downtime and Scrap Events

	Vacuum Pump Solution Avoids Unplanned Downtime and Scrap Events IoT Systems

Vacuum Pump Solution Avoids Unplanned Downtime and Scrap Events

IoT Systems

Technology Category	Analytics & Modeling - Predictive Analytics Application Infrastructure & Middleware - Data Visualization Functional Applications - Remote Monitoring & Control Systems Infrastructure as a Service (IaaS) Platform as a Service (PaaS) - Edge Computing Platforms
Applicable Industries	Electronics
Applicable Functions	Maintenance
Use Cases	Predictive Maintenance
Challenge	In order to scale up operations, loT Systems’ client needed a system to monitor vacuum pumps and provide managers with actionable data at near real-time speeds from anywhere, at any time, and on any device. The vacuum pumps are part of vertical furnaces that prepare semiconductor wafers at precise temperatures and pressures according to their clients’ exact specifications. If a pump was about to fail and a manager did not see the alarm, it could lead to a scrap event, costing the client revenue, delaying production with unplanned downtime, and increasing overall manufacturing costs. Managers could not see alarms in real time unless they physically walked around the floor, making predictive maintenance and preventing scrap events harder as the client scaled upwards. Read More
About Customer	Semiconductor firm that produces semiconductor wafers. Read More
Customer Name	Undisclosed Read More
Solution	IoT Systems installed the SenseQ edge computing solution. SenseQ monitors the data coming from the sensors on the pump and sends alarms to managers via email or SMS when the data indicates that the pump is about to fail. SenseQ’s dashboard, which works on the equipment owner’s smartphone or tablets, also allows managers to visualize data from multiple pumps over longer periods of time without physical inspections or manual data entries. This makes it possible to set benchmarks and evaluate performance over time to make previously invisible information visible. Read More Log in to view content
Data Collected	Alarms For Automated Applications, Cycle Times, Device Status, Operation Performance, Temperature Read More Log in to view content
Contents

Technology Category

Analytics & Modeling - Predictive Analytics

Application Infrastructure & Middleware - Data Visualization

Functional Applications - Remote Monitoring & Control Systems

Infrastructure as a Service (IaaS)

Platform as a Service (PaaS) - Edge Computing Platforms

Applicable Industries

Electronics

Applicable Functions

Maintenance

Use Cases

Predictive Maintenance

Challenge

In order to scale up operations, loT Systems’ client needed a system to monitor vacuum pumps and provide managers with actionable data at near real-time speeds from anywhere, at any time, and on any device. The vacuum pumps are part of vertical furnaces that prepare semiconductor wafers at precise temperatures and pressures according to their clients’ exact specifications. If a pump was about to fail and a manager did not see the alarm, it could lead to a scrap event, costing the client revenue, delaying production with unplanned downtime, and increasing overall manufacturing costs. Managers could not see alarms in real time unless they physically walked around the floor, making predictive maintenance and preventing scrap events harder as the client scaled upwards.

About Customer

Semiconductor firm that produces semiconductor wafers.

Customer Name

Undisclosed

Solution

IoT Systems installed the SenseQ edge computing solution. SenseQ monitors the data coming from the sensors on the pump and sends alarms to managers via email or SMS when the data indicates that the pump is about to fail. SenseQ’s dashboard, which works on the equipment owner’s smartphone or tablets, also allows managers to visualize data from multiple pumps over longer periods of time without physical inspections or manual data entries. This makes it possible to set benchmarks and evaluate performance over time to make previously invisible information visible.

Data Collected

Alarms For Automated Applications, Cycle Times, Device Status, Operation Performance, Temperature

Impact #1	[Efficiency Improvement - OEE] More efficiently predict the capabilities and limitations of their vacuum pumps by evaluating performance over elapsed time.
Impact #2	[Product Improvement - Scalability] Better positioned to meet operational demands and yield targets as well as scale more efficiently
Impact #3	[Efficiency Improvement - Maintenance] Conduct predictive maintenance with quicker response times, and consequently lower risks of scrap events

Impact #1

[Efficiency Improvement - OEE]
More efficiently predict the capabilities and limitations of their vacuum pumps by evaluating performance over elapsed time.

Impact #2

[Product Improvement - Scalability]
Better positioned to meet operational demands and yield targets as well as scale more efficiently

Impact #3

[Efficiency Improvement - Maintenance]
Conduct predictive maintenance with quicker response times, and consequently lower risks of scrap events

Partners	Amazon Web Services

Partners

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Overview

Vacuum Pump Solution Avoids Unplanned Downtime and Scrap Events

Operational Impact

Technology