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
La valeur de l'analytique dans votre usine 

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

Articles connexes

Retour au blog
Nous vous remercions ! Votre demande a bien été reçue !
Oups ! Un problème s'est produit lors de l'envoi du formulaire.
14
Fév 2024

Key Differences Between Discrete and Process Manufacturing Software

English
18
Juin 2019

Becoming a Digital Champion in Industry 4.0

English
3
Oct 2019

TRG et les outils analytiques d'usine intelligente - un outil révolutionnaire pour l'industrie manufacturière

French

Articles connexes

Retour au blog
Nous vous remercions ! Votre demande a bien été reçue !
Oups ! Un problème s'est produit lors de l'envoi du formulaire.
1
Août 2023

How Worximity Transforms Data from Your Shop Floor into Metrics that Drive Productivity

Manufacturers are sitting on a gold mine of data and Worximity puts this critical information within reach for manufacturers of all types and sizes.

English
27
Juillet 2023

Monitoring de la production ou ERP: ce dont votre usine a vraiment besoin.

Rester compétitif et maximiser l'efficacité est crucial dans le paysage manufacturier d'aujourd'hui. Pour atteindre ces objectifs, les entreprises manufacturières sont souvent confrontées au dilemme de sélectionner les bonnes solutions logicielles pour rationaliser les opérations.

French
27
Juillet 2023

Production Monitoring or ERP: what your manufacturing plant really needs.

Remaining competitive and maximizing efficiency is crucial in today’s manufacturing landscape. To achieve these goals, manufacturers are often faced with the dilemma of selecting the right software solutions to streamline operations.

English