- Lead and perform dimensional variation analysis using 3DCS (v7.8) & VisVSAtools.
- Develop and implement strategies to control and reduce dimensional variation in products and processes.
- Collaborate with design, manufacturing, and quality teams to identify potential sources of variation and recommend corrective actions.
- Create and maintain detailed documentation of analysis results, methodologies, and corrective actions.
- Provide technical guidance and mentorship to junior engineers and team members.
- Conduct root cause analysis for dimensional variation issues and implement effective solutions.
- Support the development and validation of measurement systems and inspection processes.
- Participate in design reviews and provide input on dimensional tolerances and specifications.
- Stay updated with industry trends and advancements in dimensional analysis techniques and tools.
Knowledge / Experience - 6 to 9 Years
Essential:
- Strong hands-on experience in Dimensional Variation Analysis (DVA) and tolerance stack‑up analysis for complex assemblies.
- Proficient in 3DCS v7.8 for Monte Carlo simulation, RSS, and worst‑case dimensional analysis.
- GD&T; expert with advanced application of ASME Y14.5 standards for functional and producible designs.
- Skilled in 2D and 3D dimensional analysis using drawings and CAD-based models.
- Proficient in CATIA V5 for model interpretation, assembly analysis, and design evaluation.
- Deep understanding of manufacturing processes and their impact on dimensional variation.
- Experienced in developing variation reduction strategies through tolerance optimization and process improvements.
- Strong capability in performing root cause analysis and implementing corrective actions for dimensional issues.
- Knowledgeable in measurement systems, CMM inspection planning, and MSA concepts.
- Effective contributor to design reviews, providing guidance on datums, tolerances, and dimensional risks.
- Demonstrates a robust collaborative mindset across design, manufacturing, quality, and supplier teams.
- Proven ability to mentor junior engineers and provide technical guidance in DVA methodologies.
- Strong time management and prioritization skills to handle multiple analyses within tight deadlines.
- Excellent technical documentation and communication skills for presenting analysis results clearly.
Qualification:
Bachelor's degree in Mechanical / Automotive Engineering or related discipline.