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architecture

Business Challenges Drive Demand

Demand vs Capacity Pressure from customers and the business to increase productivity and output
Unplanned Downtime Unplanned downtime is very disruptive and expensive to the business
Multiple Machinery Management Wide and varied mix of different production line machinery involves a wide variety of protocols to manage and data formats to consider
Equipment Effectiveness Need to improve OEE (Overall Equipment Effectiveness) values across the business
Solution Outcomes

benefitsImprove equipment uptime and alleviate costly unplanned downtime



benefitsOptimize production output to fulfill business targets



benefitsGain visibility into plant operations, including disparate machines, protocols and data formats

Solution Track

To help partners align their IoT and Analytics capabalities with the appropriate solution path for success, Tech Data uses the following guide:


=solution track for this solution


starterStarter  As a solution provider, you have a fundamental knowledge of technologies but little to no IoT and Analytics practice



starterTransformer As a solution provider, you have an Analytics and IoT practice and are looking to scale and accelerate this segment of your business



acceleratorAccelerator As a solution provider, you have repeatable Analytics and IoT solutions and looking for ways to refine your business model to capture more mind share

Solution Resources

For a complete guide to the industrial solutions in our Analytics and IoT Solution Catalog
  Download PDF



Interested in learning more about this solution?
  IoT.Analytics@techdata.com

For solutions available in Europe, visit
  Tech Data Europe



Manufacturing Equipment Health Monitoring

Unplanned downtime due to manufacturing equipment failure is costly for businesses, especially if a business lacks end to end visibility and transparency of their entire production line. This type of overview is difficult to achieve when there are various types of machinery, protocols and data to contend. The Manufacturing Equipment Health Monitoring solution uses a combination of sensor and programmable logic controllers (PLC) data to monitor and predict production cycle failures. By combining sensor technology, industrial edge gateways, IoT platform, and analytics, this solution can process events locally and enforce local workflows if needs be while giving a global view of the production and output using advanced analytics and machine learning to predict machine failure. 

Connectivity
Wired, Wireless
Solution Track
Accelerate
Tags
OEE, equipment monitoring, manufacturing operations, sensors, PLC, programmable logic controllers
Solution Inquiry

Solution Rating


1 STAR = LOW | 5 STARS = HIGH


Technical Expertise
As a technical skills prerequisite, this rating is based on the level of integration required for implementation as well as the level of customization and configuration specific to the IoT and Analytics technology deployment.

Industry Acumen
For industry acumen, our solution consultants identify solutions that are more suited for particular segments and/or niche markets versus solutions that are more versatile and can be applied across multiple industries. This rating helps solution providers identify their options for expanding their market share, by honing their industry expertise or creating parallel sales across multiple industries.

Market Size
Market size indicates the relevant number of end-client targets for the particular solution. A niche market has a low rating but this only reflects the number of targets, not the potential revenue stream of market. A high rating indicates a larger market pool.

Cloud Consumption
Some solutions and use cases trigger more cloud consumption than other solutions. The level of data loads, storage needs, and network configurations affect cloud consumption.

Disruption Level
This rating is to provide a sense of expectation for solution deployment. Some solutions may require training and process adoption where other solutions effective “out of the box” on day one.