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.
18
Jul 2018

Are you as a manufacturer ready for IIoT?

English
22
Aug 2018

Podcast: What to Expect at IMTS 2018

English
10
Jul 2018

Kick-starting Digital Transformation in IIoT

English

Related articles

Back to the blog
Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.
23
May 2024

Exemples de Lean Manufacturing provenant des principaux leaders de l’industrie

La mise en œuvre du Lean Manufacturing peut vous apparaître comme un défi colossal. En regardant ce que les meilleurs ont accompli en appliquant les principes du Lean Manufacturing, vous serez à la fois inspirés et motivés.

French
25
Apr 2024

How to Analyze Throughput Rate

Throughput rates are an important measure of factory performance. Not only does throughput indicate whether the factory can meet customer demand, but it's also an indicator of overall plant efficiency.

English
15
Apr 2024

Les meilleurs outils d’amélioration continue pour les entreprises manufacturières œuvrant dans le secteur agroalimentaire

Dans le paysage concurrentiel du secteur agroalimentaire, la mise en œuvre de méthodologies d'amélioration continue n'est pas seulement un choix : c'est une nécessité pour rester compétitif.

French