24 Jul
2018

4 Reasons to Monitor Your Downtime

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

Machine Monitoring
Smart Factory
IIoT
4 raisons de surveiller vos temps d'arrêt

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

Articles connexes

Retour au blog
Nous vous remercions ! Votre demande a bien été reçue !
Oups ! Un problème s'est produit lors de l'envoi du formulaire.
18
Avril 2019

Industrie Agro-alimentaire: Les vraies opportunités résident dans l'intelligence artificielle

French
15
mai 2019

Un nouveau regard sur l'industrie de la production alimentaire avec l'intelligence artificielle

French
26
Avril 2019

Les robots et l'intelligence artificielle font leur entrée dans l'industrie alimentaire

French

Articles connexes

Retour au blog
Nous vous remercions ! Votre demande a bien été reçue !
Oups ! Un problème s'est produit lors de l'envoi du formulaire.
12
Juin 2018

3 Obstacles preventing Food Manufacturers to embrace IIoT

In the food industry, manufacturers are embracing the IIoT as a way to trace products along thei supply chain journey, monitor equipment and follow operations in real time. The food industry has been slower than other manufacturing industries to adopt the IIoT because of perceived obstacles.

English
20
Juin 2018

6 Digital Technology Themes for Manufacturing Leaders

Here are themes and trends that progressive manufacturing leaders are evaluating in the industry.

English
30
Mai 2018

4 Main Challenges of IIoT Adoption and What Can Be Done About Them

According to Statista the global manufacturing industry is set to spend over $890 billion for IoT technologies by 2020. However, despite this huge growth in the applications of said technologies, there are still challenges that prevent their adoption on a mass scale.

English