27 Jul
2018

How Real-time Data Will Impact Your Food Manufacturing Operations

Real-time data (RTD) monitoring is information that's delivered immediately after collection—there is no delay in the timeliness of the information provided and it's often used for navigation or tracking. Learn how how RTD monitoring will impact your food manufacturing operations.

Food Manufacturing IIoT
Industry 4.0
Machine Monitoring
Smart Factory
IIoT
Comment les données en temps réel vont-elles influencer vos opérations de fabrication de produits alimentaires ?

Real-time data (RTD) is information that's delivered immediately after collection—there is no delay in the timeliness of the information provided and it's often used for navigation or tracking. The IQMS Manufacturing blog discusses how the capture of real-time data will be a catalyst for manufacturers working to increase production speed, scale and simplicity in all areas of operations. With that, the IQMS Manufacturing blog offers:

10 Ways Real-time Data Monitoring is Revolutionizing Manufacturing

 

  1. Continually improve product quality by using real-time data for Statistical Process Control (SPC).
  2. Attain higher levels of compliance and traceability by receiving data directly from any machine monitored on the shop floor in real-time.
  3. Improve production plan performance by attaining greater schedule accuracy. 
  4. Manufacturers are gaining up to a 6% improvement in Overall Equipment Effectiveness (OEE) when they rely on real-time quality metrics.
  5. Prolonging the life of equipment, machinery and tools using real-time data monitoring to predict when maintenance, repair and overhaul need to take place.
  6. Enable higher levels of inventory control accuracy and performance across all production locations.
  7. Reaching a new level of accuracy, quality, precision and speed with internal and regulatory audits.
  8. Improving cycle times and reducing scrapped parts by using real-time data to better manage and optimize against constraints.
  9. Simplifying and scaling complex new business models based on mass customization and build-to-order profitable faster. 

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.
26
Avril 2019

Les robots et l'intelligence artificielle font leur entrée dans l'industrie alimentaire

French
7
Janvier 2019

Artificial Intelligence in the Food Industry: Six areas of application

English
8
Oct 2019

Types de gaspillages dans le lean manufacturing - le gaspillage dû au sur-traitement

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.
13
mars 2024

Engines of Manufacturing Efficiency: Machine Monitoring and OEE

Machine Monitoring and OEE (Overall Equipment Effectiveness) are effective at boosting overall efficiency, but what is the difference between them and what is best for your operations?

English
20
Fév 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
Fév 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