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.
9
Jul 2018

Video: How & why IIoT can help your factory

English
14
May 2019

Will You Be Able to Catch Up to Industry Leaders? - Part 3

English
2
Aug 2018

Monitoring Throughput—The Most Important of the 12 Manufacturing Metrics

English

Related articles

Back to the blog
Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.
26
Apr 2019

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

Des changements importants tels que les robots et l'utilisation de l'intelligence artificielle sont en train d'être introduits dans la chaîne d'approvisionnement alimentaire afin d'améliorer son efficacité. Apprenez-en plus sur les autres avantages liés à la mise en œuvre de ces technologies.

French
7
Jan 2019

Artificial Intelligence in the Food Industry: Six areas of application

Discover six ways to improve your production and overall performance with technologies using artificial intelligence

English
8
Oct 2019

Types de gaspillages dans le lean manufacturing - le gaspillage dû au sur-traitement

Dans le lean manufacturing, le gaspillage dû au sur-traitement survient en usine et en bureaux. Voici des exemples de ce gaspillage et comment y remédier.

French