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.
13
mai 2019

Will You Be Able to Catch Up to Industry Leaders? - Part 2

English
20
Juillet 2018

Monitoring and IIoT—It's All About People

English
23
Juillet 2018

Not connected yet? Monitor the cost of downtime in the food & beverage industry

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.
6
Jan 2025

Pourquoi le contrôle du poids dans l’industrie manufacturière est important et cinq étapes clés pour le gérer

Dans certains secteurs manufacturiers, le contrôle du poids est un élément crucial de la qualité qui a un impact sur la rentabilité, la conformité et la confiance des clients.

French
6
Jan 2025

Why Weight Control in Manufacturing Matters and Five Key Steps to Manage It

In certain manufacturing industries, weight control is integral to quality, directly affecting profitability, regulatory compliance, and customer trust.

English
16
Dec 2024

Feuille de route pour réussir la mise en oeuvre de l’IIoT pour les PME manufacturières

French