Training 8D problem solving e-learning or face-to-face
8D Problem Solving Training
Duration
Rate
Industrial problem-solving skills
Competitive benefits
100%
21
99%
Objectives
- Situate the 8D approach among other approaches (6 sigma, PDCA, AIC/QRQC)
- Determining candidate subjects for an 8D
- Manage an 8D project independently
- Use all the tools needed to lead a workgroup and identify root causes.
For whom
This e-learning course is designed for technicians, engineers and supervisors who have to solve problems in both the industrial and service sectors.
Prerequisites
- Basic use of the Internet and a web browser.
- Level 4 diploma and/or 2 years' professional experience.
- Notions of quality are a plus.
Duration
16 hours of animated 100% e-Learning, implementation of theoretical points on industrial simulators. The e-Learning is available 24/7 for 2 months for this training course.
Teaching and technical resources
- 100% E-Learning training on a dedicated platform
- Our teaching methods are mediatized (voice, text, exercises), fun and multimodal, with tests at every lesson.
- Theoretical presentations
- Case studies
- Online availability of PDF and Excel support documents
Teaching team
With over 30 years' experience, rich in teaching and practical experience, our industrial quality training organization provides you with training and consulting services to develop and improve your performance and know-how. All our consultants are Master Black Belt Lean Six Sigma and have at least 10 years' experience in applying Lean and Six Sigma tools in industrial environments.
Accessibility
This training course is accessible to people with disabilities. Please contact us for specific accommodation options. We will do our utmost to accommodate you.
Program
Different approaches for different problems (3 hours)
- Understanding the objectives of machine learning
- How Machine Learning fits in with Big Datas, Artificial Intelligence...
- Know how to map the different tools: regression, dimension reduction, clustering, supervised (S) and unsupervised (NS) classification.
- Understanding what you can and can't do with Machine Learning
8D - from team to containment (3 hours)
- D0 - Decide whether 8D is suitable (prioritization matrix)
- D1 -Assembling the team
- D2 - Describe the problem (QQOQCP, IS NOT, Mapping)
- D3 - Confining problems (Choice Matrix, Selection Matrix)
D4(1) - Identify causes (standards, people, data) (3 hours)
- Making people talk (5M, 5 Why)
- Making standards talk (Deviation from the standard)
- Making data talk (data sheet, concentration diagram, Pareto, Multivari)
Complete 8D (3 hours)
- D5 - Identification of corrective actions
- D6 - Implementation and validation of corrective actions (PDCA, RASCI Plan)
- D7 - Prevent recurrence (Standard, automation, perpetuation model)
- D8 - Congratulate the team
D4(2) - Identify causes (products and processes) (4 hours)
- BOB vs WOW
- B to C
- Pairwise comparison
- Inversion test
- Sequential bifurcation
Your feedback
Two modes learning
- onlineSelf-paced learning250€
- 16h of e-learning courses
- Online support
- PresentialIn-company training2
- 8D problem-solving training
- Problem-solving training using the Dorian Shainin approach
