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 Factors to Consider When Choosing a Monitoring Solution

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

Related articles

Back to the blog
Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.
23
Oct 2019

How To Know If You Are Receiving Reliable Data from Your Production Line

English
19
Apr 2021

Learn How to Improve Raw Materials Yield by Connecting Your Scales and Checkweighers

English
5
Feb 2019

Un Montréal à saveur d'intelligence artificielle

French

Related articles

Back to the blog
Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.
25
Jul 2023

Décomposer le TRG pour assurer le succès de votre usine

Découvrez comment la décomposition du taux de rendement global (TRG) en mesures pertinentes pour l'usine est le moteur du succès opérationnel.

French
25
Jul 2023

Breaking Down OEE for Shop Floor Success

Discover how breaking down Overall Equipment Effectiveness (OEE) into relevant metrics for the shop floor drives operational success.

English
21
Jul 2023

CDAP: $15,000 Grant To Jump Start Canadian Manufacturing Digital Transformation Projects

With the rise of digitalization in the manufacturing industry, the Canada Digital Adoption Program (CDAP) and Worximity's smart factory performance manager software suite are helping manufacturers increase throughput and reduce production costs.

English