Case Study - Predictive Analytics Generates Greater ROI for Customers by Cisco

	Predictive Analytics Generates Greater ROI for Customers Cisco

Technology Category	Analytics & Modeling - Predictive Analytics Infrastructure as a Service (IaaS) - Cloud Storage Services
Applicable Industries	Equipment & Machinery
Applicable Functions	Maintenance
Use Cases	Predictive Maintenance
Challenge	Manufacturing plants are running at a much higher capacity utilization than ever before. Often, it is a 24 hour a day, seven days a week operation. With downtime costing plants up to US$20,000 a minute, they cannot afford disruption to their processes. In fact, a single occurrence can cost a plant upwards of US$2 million. FANUC was struggling with lack of visibility into how their customers were leveraging FANUC equipment on the factory floor. The only insight was gained after a problem had already occurred resulting in costly downtime for the customer. Read More
About Customer	Founded more than 50 years ago, FANUC provides a wide range of automation equipment for automotive components and the general industrial market. Read More
Customer Name	Fanuc Read More
Solution	After meeting with Cisco and exploring the possible solutions, they saw potential to change their entire go-to-market business strategy. Leveraging the Cisco Intercloud™ solution, FANUC can extract customer data, store it in the cloud, and leverage predictive analytics to remedy any potential problems before it can negatively impact their customers. FANUC leveraged Cisco expertise to influence their customer’s IT departments to share their data in the cloud. By storing their customer’s data in the cloud and improving their response time to potential incidences, FANUC is leveraging the Internet of Everything (IoE) to deliver a proactive go-to market strategy for their customers. Read More Log in to view content
Data Collected	Downtime, Fault Detection, Machine Performance, Overall Equipment Effectiveness Read More Log in to view content
Contents

Technology Category

Analytics & Modeling - Predictive Analytics

Infrastructure as a Service (IaaS) - Cloud Storage Services

Applicable Industries

Equipment & Machinery

Applicable Functions

Maintenance

Use Cases

Predictive Maintenance

Challenge

Manufacturing plants are running at a much higher capacity utilization than ever before. Often, it is a 24 hour a day, seven days a week operation. With downtime costing plants up to US$20,000 a minute, they cannot afford disruption to their processes. In fact, a single occurrence can cost a plant upwards of US$2 million.

FANUC was struggling with lack of visibility into how their customers were leveraging FANUC equipment on the factory floor. The only insight was gained after a problem had already occurred resulting in costly downtime for the customer.

About Customer

Founded more than 50 years ago, FANUC provides a wide range of automation equipment for automotive components and the general industrial market.

Customer Name

Fanuc

Solution

After meeting with Cisco and exploring the possible solutions, they saw potential to change their entire go-to-market business strategy.

Leveraging the Cisco Intercloud™ solution, FANUC can extract customer data, store it in the cloud, and leverage predictive analytics to remedy any potential problems before it can negatively impact their customers.

FANUC leveraged Cisco expertise to influence their customer’s IT departments to share their data in the cloud. By storing their customer’s data in the cloud and improving their response time to potential incidences, FANUC is leveraging the Internet of Everything (IoE) to deliver a proactive go-to market strategy for their customers.

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Data Collected

Downtime, Fault Detection, Machine Performance, Overall Equipment Effectiveness

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Contents

Overview

Predictive Analytics Generates Greater ROI for Customers

Operational Impact