1 Manufacturing Processes and Validation for Next Generation Implants.

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Presentation transcript:

1 Manufacturing Processes and Validation for Next Generation Implants

2 Rick Schulz Bio Mechanical Engineer Sixteen years in medical industry  Five years working for a major OEM  Seven years in production management  Four years in QA/Validation Management Personally responsible for dozens of customer validation and hundreds of internal requirements Proven interpretation of regulations through FDA, ISO and customer scrutiny and audits

3 FDA Validation Requirements 21 CFR part 820 Sec Process Validation  “Where the results of a process cannot be fully verified by subsequent inspection and test, the process shall be validated.” Sec Statistical Techniques  “Where appropriate, each manufacturer shall establish and maintain procedures for identifying valid statistical techniques required for establishing, controlling, and verifying the acceptability of process capability and product characteristics.”

4 ISO Validation Requirements ISO 13485:2003(E) section  “The organization shall validate any processes for production and service provision where the resulting output cannot be verified by subsequent monitoring or measurement.” Interpretation guidance assistance  Global Harmonization Task Force SG3/N99-10 – Process Validation Guidance

5 Why is validation important? It’s the law! It makes good business sense to:  Understand and control our processes.  Insure that our equipment operates correctly.  Insure all employees perform their tasks consistently.  Significantly reduce manufacturing and inspection costs for long run production. It makes good business sense!

6 Preliminary Work Systems and equipment qualified for installation and operation  The expected process parameters must be within the equipment operational limits Highly recommend an early and thorough review of all process requirements  Components  Assemblies  Packaging and labeling

7 Preliminary Work (continued) Data Analysis and Statistical Techniques expectations  Attribute vs. Variable Data  Sample sizes based on Risk Analysis  Acceptance criteria Protocol deviations, re-validations, etc.  Deviation procedures  Prospective, concurrent and retrospective validations

8 Preliminary Work (continued) Quality documentation  Quality Plan  pFMEA Requires dFMEA where applicable  Calibration of relevant gages  Gage R&R Test Method Validation Process Documentation  Job traveller/router Process flow diagram  Design of Experiments Historical process knowledge  Material traceability Raw material Components Sub-assemblies, devices

9 Confidentiality vs. Disclosure Proprietary processes  Those processes where the contract manufacturer has developed a significant edge over all others If the process was developed for and with the customer, full disclosure is most likely required Otherwise, these processes may only require the disclosure of the completion of process qualification Universal processes  Those processes that were developed per an existing industry standard Passivation, thermal treatments, etc.

10 Decision Time Validation Decision Tree during Contract Review

11 Customer-Vendor Responsibilities Master Plan and Timeline (Validation Strategy)  Typically co-authored and dually approved Protocols and Reports  Typically dually approved Execution and Inspection  Typically the responsibility of the Contract Manufacturer Data review & interpretation  Typically dual responsibility Device Master Record  Typically the responsibility of the Contract Manufacturer

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