Improving Conveyor Belt’s Life by up to 4 Years Using Predictive Maintenance | Quantzig’s Case Study

Download

Predictive Maintenance Engagement Outcome

LONDON--()--A global data analytics and advisory firm, Quantzig, that delivers actionable analytics solutions to resolve complex business problems, has announced the completion of their latest predictive maintenance engagement.

Predictive maintenance is a condition-based maintenance that monitors the condition of assets by making use of sensor-deployed devices. These sensor-deployed devices mainly focus on supplying data in real-time, which is used in predicting when the asset will require maintenance. Predictive maintenance also helps in preventing equipment failure. The client, a European conveyor belt manufacturer, wanted to leverage predictive maintenance to make sense of the large volumes of data it received from their conveyor belt sensors.

Predictive maintenance is the most advanced type of maintenance currently available. Request a FREE proposal to know how predictive maintenance can improve your asset’s life.

Engagement Overview

The client, a European conveyor belt manufacturer and servicing provider, wanted to switch from reactive maintenance to predictive maintenance to curtail risks and identify problems before they occur. This conveyor belt manufacturer wanted to collaborate with Quantzig to leverage its expertise in analyzing huge data sets which were received from the devices with sensors to gain actionable insights to schedule maintenance on a prior note.

Contact us to know how predictive maintenance can help you to reduce machine failures and maintenance cost.

“The first step in practicing predictive maintenance is establishing baselines. You need to monitor assets’ conditional baselines and collect data before installing sensors.” says a predictive maintenance expert from Quantzig.

Solution Offered and Value Delivered

Quantzig’s experts harnessed data from every possible sensor and created time-series modeling combined with machine learning. Furthermore, the predictive maintenance experts also used Fourier and Support vector machine algorithms for the transformation of sensor data followed by a predictive analysis to generate maintenance alerts and recommendations.

Request a free demo to gain comprehensive insights into our predictive maintenance and predictive analytics capabilities.

Quantzig's predictive maintenance solutions helped the client:

  • Ensure a better maintenance management
  • Reduce maintenance issues
  • Improve the life of assets by an average of 4 years

Quantzig’s predictive maintenance solutions can help you reduce the downtime of repair. Request for more information.

About Quantzig

Quantzig is a global analytics and advisory firm with offices in the US, UK, Canada, China, and India. For more than 15 years, we have assisted our clients across the globe with end-to-end data modeling capabilities to leverage analytics for prudent decision-making. Today, our firm consists of 120+ clients, including 55 Fortune 500 companies. For more information on our engagement policies and pricing plans, visit: https://www.quantzig.com/request-for-proposal.

Contacts

Press Contact
Quantzig
Anirban Choudhury
Marketing Manager
US: +1 630 538 7144
UK: +44 208 629 1455
https://www.quantzig.com/contact-us

Release Summary

Quantzig has announced the completion of their latest predictive maintenance engagement.

Social Media Profiles

Contacts

Press Contact
Quantzig
Anirban Choudhury
Marketing Manager
US: +1 630 538 7144
UK: +44 208 629 1455
https://www.quantzig.com/contact-us