1 Oct
2020

The rise of data monitoring solutions - FoodBev October 2020

Worximity recently gave an interview to the FoodBev magazine A watchful eye. The rise of data monitoring solutions.

Food Manufacturing IIoT
Machine Monitoring
OEE
L'essor des solutions de suivi des données - FoodBev Octobre 2020

Worximity recently gave an interview to the FoodBev magazine A watchful eye. The rise of data monitoring solutions.

The benefits offered by real-time data was also asserted by Emilie Lachance, chief marketing officer of Worximity, a Canadian technology company that specialises in real-time monitoring solutions for food and beverage processors: “With real-time and precise data, you can do more with fewer resources. It allows managers to reduce waste, improve efficiency, use less energy and less raw material to achieve the same or even better end results.


“Gathering all the data from various pieces of equipment is also important. Many machines have screens and data available, but you need to centralise the information from all your machines to have a complete overview of your bottleneck and design a corrective action plan.”


Real-time data that can be accessed remotely could be an important resource in a post-Covid world, as production managers might not necessarily be on a factory floor to gather data and monitor machinery in person. “With Covid-19, a lot of C-level staff and directors are managing remotely, so having the data in real-time is crucial to keep the factory running as efficiently as possible,” Lachance added.


According to Lachance, as more manufacturers implement “made-to-order” business models, real-time data will be key due to rapidly changing production demands. She also claimed that real-time data is far more effective for monitoring production than conventional monitoring solutions, as: “Traditional weekly reports for yield and overall equipment efficiency do not allow manufacturers to react quickly enough to a problematic situation. Having the data in real-time can make the difference between profit and loss,” she concluded.

READ THE FULL ARTICLE HERE

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.
15
Nov 2023

Decoding the OEE Calculation: Translating OEE Metrics into Tangible Losses

English
16
Oct. 2023

The Synergy Between Lean Manufacturing and OEE Monitoring

English
25
Juillet 2023

Breaking Down OEE for Shop Floor Success

English

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.
17
Août 2018

5 Digital Transformation Predictions for 2018 - an infographic

An infographic presenting 5 Digital Transformation Predictionsfor 2018 and Beyond affecting manufacturers: emerging technologies, robotic process automation, cloud computing and artificial intelligence.

English
6
Juin 2018

10 Ways Machine Learning Is Revolutionizing Manufacturing In 2018

Machine learning algorithms are helping manufacturers find new business models, fine-tune product quality, and optimize manufacturing operations.

English
20
Déc 2018

A New Look on the Food Processing Industry with AI

Significant changes will be noticed in the food processing industry as investments in artificial intelligence are on the agenda of an increasing number CIOs in the coming years.

English