8 Aug
2018

The Value of Analytics in Your Manufacturing Plant

When you hear about digital transformation, smart factories or IIoT in the manufacturing industry, a key part of what propels the technology toward making tangible change is data and the use of data analytics. Read about how you can get the most of the data from your factory.

Analytics
Food Manufacturing IIoT
IIoT
The Value of Analytics in Your Manufacturing Plant

When you hear about digital transformation, smart factories or IIoT  in the manufacturing industry, a key part of what propels the technology toward making tangible change is data and the use of data analytics. In an article at called, “Making the the most of the manufacturing analytics revolution,” Tim Clark talks about analytics; what the term means, how analytics can improve the manufacturing process, and the steps you can take to get the most of the data from your factory. 
  

Analytics can be defined as “the use of mathematics, statistics, predictive modelling and machine learning to find patterns in data.” Clark explains that analytics "give manufacturers the power to convert their data into actionable insight.” The potential in analytics allows you to eliminate "supply chain problems and us[e] customer feedback to improve products in real-time.” Taken to the next level, the value of Artificial Intelligence solutions in the factory can come “from accurately and efficiently analyzing large volumes of complex data without fatigue.” 

 

 

The use of analytics enables factories to generate data over time; to make continuous improvement, to track causes of downtime, monitor downtime, performance and giveaway, and keep track of overall equipment effectiveness. Clark says, “Analytics delivers unprecedented understanding of challenges and opportunities.”  

 
Analytics have become crucial because it makes “predictive maintenance possible,” and can lead to a leaner, more efficient operation. Data analytics drawn from your plant can help identify issues more quickly and bring individuals from disparate departments together to make improvements based on quantifiable information. When this happens, Clark describes this as creating “unified ecosystem.”  
 
To find the right solution for your factory is key. Clark says, “you need an objective, whether it’s to improve performance or product quality, before investing time and resource to integrate solutions.”

Source + read the complete 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.
26
Nov 2024

What is Continuous Improvement in Manufacturing?

English
28
Aug 2018

Four Steps Toward Continuous Improvement

English
12
Dec 2019

Pénurie de main d'oeuvre dans le secteur manufacturier - Comment l'IIoT et l'analyse de données d'usine intelligente peuvent aider

French

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