24/7/18

4 Reasons to Monitor Your Downtime

IIoT and four great reasons for monitoring your machine and production downtime.

Machine Monitoring
Smart Factory
IIoT
4 Reasons to Monitor Your Downtime

Why Monitor Your Machine & Production Downtime?

  1. Your equipment is an important company asset. By monitoring it, you get the most out of it.
  2. Downtime means extra costs (overtime, employee waiting for the line to start, energy costs for longer shifts, etc...) Knowing exactly how often and how long the downtime lasts allows you to improve those metrics over time.
Want to learn more?
Download the ebook
Related blog articles

Related articles

Back to the blog
Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.
Hand interacting with a futuristic digital interface displaying “2024,” AI icons, and technology symbols, representing emerging technology trends, artificial intelligence, digital transformation, innovation, and future-focused business strategy.
9
Jan 2024

Manufacturing Trends to Lookout for in 2024

English
3
Aug 2023

Embracing IIoT: The Smart Path for OEMs to Thrive with a Leading IIoT Smart Manufacturing Partner

English
25
Jul 2023

Breaking Down OEE for Shop Floor Success

English

Related articles

Back to the blog
Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.
18
May 2018

Getting the most out of Lean and Six Sigma production strategies with Industry 4.0

Discover how you can build on your lean and six sigma strategies to roll out Industry 4.0 best practices and improve plant performance.

English
22
May 2018

Continuous improvement in 3 steps with a smart factory

Discover the 3 steps to apply continuous improvement principles in your smart, easily connected factory.

English
22
Mar 2018

Top Lean Manufacturing Technology Trends that will Change your Life

A recent article from IQS Directory is eye opening about the future of Lean Manufacturing Technology. There are concurrent advances happening in process and materials technology, energy efficiency, robotics and information technology

English