1D/2D/3D statistical tolerance analysis taking into account process’ mean off-centering
Tolerance and capability analysis
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- Know how to realize and optimize a tolerance analysis considering the effects of manufacturing process’ mean off-centering, process capability data, 2D & 3D effects, on the product designs of the organizing company.
Learning operational objectives
- Understand the risks associated to hypotheses used in the traditional tolerance analysis methods (Worst Case and statistical centered):
- "Over-Quality" (non-conform components in Cp/cpk, generating conform assemblies).
- "Non-compliant" (conform components in Cp/Cpk, generating non-conform assemblies).
- Understand these risks in all possible configurations (number of dimensions in the stack, 2D/3D impacts, high sensitivity values, high contribution to the variance...).
- Understand the risks that are present in function of all possible off-centerings/standard deviations present on the dimensions of a tolerance stackup.
- Conclude about how useful are the "Worst Case" and "Statistically centered" methods:
- In which cases do they have advantages?
- In which cases are they dangerous.?
- Apply some simple methods to prevent the risks associated to these two methods when they are used.
- Implement the "semi-quadratic" tolerance analysis method to better control all serial-life possible configurations of standard deviation/off-centering:
- “Fine tune” tolerance analysis results, considering process off-centering.
- Specify admissible zone of off-centering and standard deviation on all dimensions in a stackup.
- Refine derogatory decisions in case of non conforms (based on actual mean off-centerings & standard deviations on all dimensions in the stackup).
The "Pluses" of the training session
- Training adapted "tailor-made" on product applications of the trainees (Case studies used if necessary). Workshops directly realized on these products examples.
- Theoretical parts organized in a dynamic and interactive way (workshops in subgroups, quizzes, questions, etc.).
- This training includes a 6-months period of post training support (email exchanges, webinars, phone, response time depending on the trainer’s availability).
Organization and resources
- Each attendee receives a training manual in English as well as exercise and workshop files used during the session.
- For face-to-face training, the room must have a video projector as well as a flipchart and a whiteboard with coloured markers in working order.
- Level assessment quizzes for each attendee at the beginning and the end of the training session.
- Cold evaluation questionnaire, to evaluate achievements realized after the training completed 3 months after training, by each attendee, with their hierarchy.
- Hot satisfaction questionnaire completed by each attendee at the end of the training.
- Anyone likely to be involved the realization of tolerance analysis on product and/or process applications of the company who organizes the training.
- Attendees have successfully completed, at minimum, a “bachelor” academic curriculum in engineering, mathematics, sciences, industrial engineering.
- At least 1 year professional experience in either production, project management, industrial engineering, quality, product design and engineering.
- Participants should have an experience of the products and manufacturing processes of the company organizing the training.
- Holds master’s diploma from top tier engineering school (Centrale, INSA, Arts et Métiers, UTC). Equivalent to Master's degree in industrial engineering.
- 20 years of experience in industrial design and process development methodologies (functional analisis, FMEA, etc.) and in industrial statistics (tolerance analysis, functional quotation, capabilities analysis of measurement and manufacturing means, etc.).
- Shared training
All persons with disabilities, people with reduced mobility, visually impaired and hard of hearing, can attend all our training courses, provided that they report it as soon as possible so that we can adapt the premises and training ressources to their needs.