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.
11
Jul 2018

Executives and the Transformative Digital Experience in IIoT

English
13
Aug 2018

Video: How IoT Transformed Operations at this Stanley Black & Decker Facility

English
18
Sep 2019

Event CEO Networking

English

Related articles

Back to the blog
Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.
15
Nov 2023

Decoding the OEE Calculation: Translating OEE Metrics into Tangible Losses

The following OEE funnel is a great way to visualize how losses in availability, performance, and quality impact OEE and your throughput.

English
9
Nov 2023

Production Monitoring vs. MES: Choosing the Right Solution for Your Manufacturing Needs

Don't pay for what you don't need. Understand which software suits your needs best and unlock the potential of your manufacturing processes.

English
7
Nov 2023

Designing Software Products for Manufacturers: A Focus on Customer Needs

Dive into Worximity’s customer-centric approach to developing manufacturing software with a commitment to addressing real-world challenges.

English