1 Aug
2018

3 Factors to Consider When Choosing a Monitoring Solution

When looking at IoT and smart factory monitoring solutions for your food and beverage factory, consider factors that will be the most suitable to your factory's needs, set-up, and conditions. Here are 3 factors to consider.

Industry 4.0
Machine Monitoring
Smart Factory
IIoT
3 facteurs à prendre en compte lors du choix d'une solution de monitoring

When looking at smart factory monitoring and IoT solutions for your food and beverage factory, consider factors that will be the most suitable to your factory's needs, set-up, and conditions. No matter what, you want to spend more time on what matters: making better solutions. In the article, "Machine Monitoring and Analytics as a Path to Smart Manufacturing," Julie Fraser writes about industry insights and approaches that will make a difference.

Here are 3 factors to consider when choosing a monitoring solution

1. Scope 
 

If your factory has a well-established Enterprise Resource Planning (ERP) system in place, by adding a more focused machine monitoring system or Manufacturing Execution System (MES), you'll have a set-up that can be coordinated throughout your entire factory.   


But, if it's a considerable challenge to coordinate applications throughout your factory, implementing an ERP which includes MES and machine monitoring will offer reach and range of monitoring.

oee-machine-mointoring

Example: Overall Equipment Effectiveness is a standard for measuring overall efficiency of your equipment and a metric for identifying key problems and potential improvements that could be made. Track in real-time.

 

2. Smart & IoT 

 
If the path to smart manufacturing and IoT is on  your mind, consider whether you want a traditional on-premises solution or whether a cloud-based or SaaS solution such as machine metrics or propulsion would provide you the learning and IoT foundation you need to feel confident.

Smart manufacturing and IoT are not one-size-fits-all solutions. If you are considering these tools and methods, there are a variety of monitoring solutions to fit your needs and to move forward with confidence. Solutions can take a more traditional on-site form, be cloud-based, or SaaS based (e.g. Machine metrics or propulsion.)  

 
 

 

 

3. Report vs. Predict 

 

Some of the most powerful insights gained from machine monitoring comes from predictive analytics—data is drawn from backward-looking reporting and system insights. The ability to predict system events is key to continuous improvement.  

 

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.
11
Fév 2021

Comment l'Industrie 4.0 a influencé la productivité dans l'industrie agroalimentaire

French
3
Juillet 2019

Créez de la valeur pour vos équipements avec les plateformes IIoT

French
25
Juin 2019

Le temps est venu pour les manufacturiers canadiens d'adopter l'Industrie 4.0

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.
22
mai 2019

Quel type de leader 4.0 êtes-vous?

Croyez-vous que vous avez ce qu'il faut pour réellement servir de leader 4.0? Apprenez-en plus sur les différents types de leaders et leurs caractéristiques.

French
11
Déc 2019

Pénurie de main d'oeuvre dans le secteur manufacturier - Prévisions pour 2020-2028

Selon plusieurs enquêtes, le secteur manufacturier pourrait faire face à de sérieuses pénuries de main-d'œuvre. Voici comment y remédier.

French
4
Mars 2022

Manufacturing Leadership: How to Create Ownership Across Your Work Teams

Find out how fostering ownership across teams is essential to being an effective manufacturing leader.

English