1/8/18

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.
Hand interacting with a futuristic digital interface displaying “2024,” AI icons, and technology symbols, representing emerging technology trends, artificial intelligence, digital transformation, innovation, and future-focused business strategy.
9
Jan 2024

Manufacturing Trends to Lookout for in 2024

English
3
Aug 2023

Embracing IIoT: The Smart Path for OEMs to Thrive with a Leading IIoT Smart Manufacturing Partner

English
25
Jul 2023

Breaking Down OEE for Shop Floor Success

English

Related articles

Back to the blog
Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.
12
Jun 2018

3 Obstacles preventing Food Manufacturers to embrace IIoT

In the food industry, manufacturers are embracing the IIoT as a way to trace products along thei supply chain journey, monitor equipment and follow operations in real time. The food industry has been slower than other manufacturing industries to adopt the IIoT because of perceived obstacles.

English
20
Jun 2018

6 Digital Technology Themes for Manufacturing Leaders

Here are themes and trends that progressive manufacturing leaders are evaluating in the industry.

English
30
May 2018

4 Main Challenges of IIoT Adoption and What Can Be Done About Them

According to Statista the global manufacturing industry is set to spend over $890 billion for IoT technologies by 2020. However, despite this huge growth in the applications of said technologies, there are still challenges that prevent their adoption on a mass scale.

English