15 Nov
2019

IIoT and Continuous Improvement

The IIoT is impacting quality improvement initiatives like Continuous Improvement and Lean Manufacturing.

Continuous Improvement
IIoT et amélioration continue

In many ways the IIoT (Industrial Internet of Things) gives manufacturers insight into their current and future operations and allows them to intervene and make desirable changes in real-time. Undoubtedly, IIoT adoption gives manufacturers numerous advantages and early adopters are finding competitive advantage. 

IIoT manufacturing competitive advantage relies on the connectivity it offers within a plant and with third parties such as suppliers and customers. With front line workers, supervisors, and upper management having access to the same data, communication flows much easier and actions can be taken much faster. Digital connectivity and cloud-sharing of data allows for the management of operations from any place and at any time, which increases efficiencies and decreases response time. Machine-machine connectivity also increases efficiencies by increasing precise and reliable automation, alerting the workforce when deviations or defects occur and providing the ability to act upon data delivered directly from machines. Connection is the key to all the advantages and benefits that the IIoT can provide. 

The way manufacturers take advantage of this connectivity is through data. The collection and analysis of data is what lets manufacturers find patterns, discrepancies, and opportunities for improvement and take action. IIoT technology is capable of collecting information in real-time and presenting decision-makers with metrics (KPIs) and visualizations (graphs, tables, etc) so that supervisors and operations managers can make better, more informed decisions.

IIoT and Continuous Improvement

Real-time data collection is particularly helpful in Continuous improvement efforts. Real-time data makes it easier for manufacturers to set up a Continuous Improvement plan where both workers and operations managers work together to reduce waste and optimize processes. Sensors and applications that show important metrics in a way that are easy to interpret help manufacturers understand their equipment and performance better and prioritize corrective actions accordingly.

Overall, IIoT implementations allow manufacturers to make better and faster informed decisions, transforming their management style from one that is reactive to one that is proactive.

Are you a continuous improvement practitioner or is your company interested in accelerating your continuous improvement program? Speak to a solutions consultant today!

 

 

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.
5
Nov 2019

TRG - Disponibilité, fiabilité et capacité d'entretien (maintenabilité)

French
19
Déc. 2023

Un exemple démontrant comment calculer le TRG dans le secteur manufacturier

French
12
septembre 2019

Que signifie TRG? Taux de rendement global

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.
31
Mai 2018

The Power of Artificial Intelligence in Manufacturing

The Manufacturer’s Annual Manufacturing Report 2018 found that 92% of senior manufacturing executives believe that ‘Smart Factory’ digital technologies – including Artificial Intelligence – will enable them to increase their productivity levels and empower staff to work smarter.

English
5
Juin 2018

Visualize the uses of AI and analytics with this interactive tool

McKinsey's interactive data visualization shows the potential value created by artificial intelligence and other analytics techniques for 19 industries and nine business functions.

English
4
Avril 2018

McKinsey - An executive’s guide to AI

McKinsey publised an online executive's guide to AI to cover the highlights of artificial intelligence: machine learning and deep learning.

English