28 Aug
2018

Four Steps Toward Continuous Improvement

Digital solutions and IIoT can contribute to Continuous Improvement by helping you take action on main production problems so you can quickly improve profitability; positioning you to carry out real-time monitoring; and enabling you to monitor OEE.

Continuous Improvement
IIoT
Quatre étapes vers l'amélioration continue

To engage is Continuous Improvement is to be always making improvements along a production line. Specific ways digital solutions and IIoT can contribute to Continuous Improvement include: Helping you take action on main production problems so you can quickly improve profitability; positioning you to carry out real-time monitoring, which makes it easy to view data collected from your machines in one or many factories; and enabling you to monitor overall equipment effectiveness by tracking rejects, availability, efficiency and quality. Approaches like these can also empower your team with tangible steps and real deadlines and you to set benchmarks for excellence. 

 
How can this happen in practical terms? Enter “Plan Do Check Act (PDCA,)” also known as the Deming Cycle, or the Shewhart Cycle.  


In a company looking to adopt digital technology into its plants, the PDCA Cycle can be used with digital to successfully implement pilot programs. Its cyclical style makes it ideal for incorporating small changes into different iterations of tests, allowing great flexibility when starting a new improvement project.  

When you have located a downtime problem event along your manufacturing production line, have logged the problem within your monitoring software and the reason for it, the next step is to build an action plan that lays the groundwork for clear solutions.   
 

PDCA Cycle—Four Steps Toward Continuous Improvement 

 

  1. Plan:  Pinpoint an area for focus, and create an action plan
  2. Do:  Carry out a small-scale test of the change’s effectiveness
  3. Check:  Analyze the results and identify actionable insights from the test
  4. Act:  If the test yielded positive outcomes, implement this knowledge for wider changes. If not, go back to the beginning of the cycle and begin again from Plan.

 

 

The simple framework is a practical approach for small problems. It can be used for streamlining a repetitive work process, developing a new product, process or service, or as a proof-of-concept for larger ideas. PDCA is also good for planning structures to collect and analyze data from a series of tests to identify issues and their causes.  
 
Worximity is deeply committed to the philosophies of Continuous Improvement and Lean Manufacturing in food manufacturing. Using our IoT technology we provide company wide visibility into the statistics that matter to manufacturers and accelerate TTV (Time to Value) of investments in company culture and training to achieve outstanding productivity.


For comprehensive information about how Continuous Improvement in manufacturing developed and how it works, visit the following:   

Techniques 

Statistical Process Control (SPC)


Six Sigma


Lean Manufacturing


Total Quality Management (TQM)


Continuous Improvement in Food Manufacturin
g

Implementing Continuous Improvement in Food Manufacturing

 

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
mai 2019

Will You Be Able to Catch Up to Industry Leaders? - Part 3

English
2
Août 2018

Monitoring Throughput—The Most Important of the 12 Manufacturing Metrics

English
18
Juillet 2018

Are you as a manufacturer ready for IIoT?

English

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.
30
juillet 2024

Qu'est-ce que la cadence dans le secteur manufacturier

À l’aide d’exemples concrets et d’informations pratiques, découvrez pourquoi calculer et monitorer la cadence sont votre voie vers une production optimisée.

French
3
juillet 2024

L’industrie 4.0 : l'avenir de l'efficacité opérationnelle avec Worximity

French
3
juillet 2024

Comment analyser la cadence

La cadence est une mesure importante des performances de l’usine. Non seulement elle indique si l'usine peut répondre à la demande des clients, mais elle constitue également un indicateur de l'efficacité globale de l'usine.

French