19 Jul
2018

Top 4 Lessons for Manufacturers on the Power of Monitoring

Top 4 Lessons for Manufacturers on the Power of Monitoring. Generate valuable insights by monitoring data and creating new strategies brought about by IIoT.

Food Manufacturing IIoT
Industry 4.0
Machine Monitoring
Smart Factory
IIoT
Top 4 Lessons for Manufacturers on the Power of Monitoring

Manufacturers considering implementing IIoT to become a smart factory may face uncertainty and wonder about the risks involved but, in "Road to IIoT: Lessons for Manufacturers from Other Industries," John Frye says one need only look to other industries that have paved the way for solutions. 

1. Standards-based technology is smart manufacturing 

Proprietary costs related to long-established automated infrastructure in the manufacturing industry are often restrictive, especially when upgrades often need to be implemented by a single vendor. Frye compares this constraint to those the telecommunications industry faced before adopting industry-standard solutions. This brought new possibilities for innovation and a competitive edge over traditional providers.   

2. Open the door integration: OT and IIoT

Operations technology (OT) industries (e.g., cities, energy, public infrastructure) have a vested interest in protecting vulnerable systems. Yet, connectivity across an enterprise is critical to implementing IIoT.  Frye cites the financial services industry as an example. The traditionally risk-averse sector implemented "the intelligent automation capabilities of IIoT" and the result? Improved network security, continuous availability solutions and adaptation to a market that's increasingly mobile and digital. 

 

 


3. Tap into distributed intelligence: Analytics and monitoring 

Data collected from a variety of sensors on the production line is "one of the hallmarks" of IIoT and the smart factory. Data analytics intelligence helps to improve productivity and monitoring factors like downtime, giveaway and overall equipment effectiveness can aid efficiency and spur on innovation. Frye says the oil and gas industry "use data collected from sensors at remote pipeline compression stations to run analytics that detect early signs of component failure....companies can shrink maintenance windows and avoid costly unplanned downtime." 

 

4. Protect the avalanche of data 

Manufacturers which adopt IIoT will produce a substantial volume of data. But value will increase too. Frye notes, "manufacturers must ensure availability of both the data and the automation systems generating it." Case in point—the building automation and security industry. Frye says, "to mitigate risk of losing valuable video evidence, these companies make end-to-end fault tolerance a priority."  

 

In the end Frye says, "While each industry has its own challenges and priorities, they all stand to gain similar benefits by charting a course to next-generation IIoT automation." You can generate valuable insights by monitoring data and creating new strategies brought about by IIoT.

Source + read the whole article

 

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.
25
Jul 2023

Breaking Down OEE for Shop Floor Success

English
21
Jul 2023

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

English
28
Jun 2023

Investing in Industry 4.0: It’s now more important than ever for food & beverage manufacturers of all sizes

English

Related articles

Back to the blog
Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.
20
Feb 2024

Comment les entreprises ont mis en oeuvre les 14 points de Deming dans le secteur manufacturier

Les 14 points de gestion de Deming ainsi que la suite d'outils de performance de Worximity stimulent l'amélioration et l'innovation dans le secteur manufacturier.

French
16
Feb 2024

Principales différences entre la fabrication discrète et la production par processus

Découvrez le rôle essentiel que joue votre logiciel dans la fabrication discrète et dans la production par processus.

French
23
Jan 2024

Optimisation des opérations à l'échelle de l'entreprise : analyse de données dans l'industrie manufacturière avec l’aide de Worximity

Découvrez comment Worximity transforme les opérations manufacturières en exploitant l'analyse des données en temps réel, apportant efficacité et innovation à l'Industrie 4.0 tout en responsabilisant les départements au-delà de la gestion de la production.

French