Processes
Products
Measurement
Mechanical Analysis
Electro-acoustic measurement
Corrosion Analysis and Testing
White rust on the chrome-passivated zinc plating of a cast iron part after alternating condensation-water atmosphere test according to ISO 6270-2
Corrosion on zinc-plated mild steel and a Cu-Ti alloy after salt spray test according to ISO 9227
Pitting corrosion of a copper coil resulting in functional failure
Projects
Reliability Engineering
Topic: Improvement of the lifetime of a loudspeaker for a global tier 1 automotive supplier
Method
- Development of lifetime tests to characterise the life distribution and reproduce the failure mode observed in the field
- Determination of the failure mechanism by analysis of the vibration dynamics of the membrane and voice coil
- Optimisation of the material parameters of a damping element
Results
- Increase of the lifetime by a factor of 4
- Thus solving a long lasting quality issue and ensuring continued product success on the market
Cost Engineering
Topic: Build up cost engineering practice in electronics department of global automotive tier 1 supplier
Method
- Cost model development for high-cost products and BoM components
- Benchmark analyses covering materials, components and manufacturing
- Analysis of cost breakdowns from supplier quotes and identification of gaps to best cost practices
- Analysis of customer’s product designs and manufacturing process flows and identification of saving potentials
Results
- Saving potential identified: > 15 Mio USD / year, based on cost models created and confirmed by benchmark results
Life Cycle Assessment
Topic: Development of a model for the fast calculation of the product carbon footprint for a complete product portfolio of acoustic components
Background and method
- In response to the growing demand for complete data on the CO2 footprint of products, a model was developed that avoids the time and resource consuming creation of an LCA (Life Cycle Assessment) for every single product
- In step 1, complete LCAs were created for a few selected, strongly differing products of a portfolio
- In step 2, a product carbon footprint model was developed that uses the LCA results as anchor points. A suitable regression model was selected by statistical analysis and significant input parameters were identified.
Result
- The model allows the product carbon footprint of all products of the portfolio of about 100 items to be calculated within seconds, using only 1–2 significant input parameters
- The approach can be transferred to any product category, as long as the individual products of a portfolio do not differ too much in their structure
References
Customer testimonials
“Seltech has been very successfully working with Martin for many years. His technical expertise paired with a consequent Six Sigma Lean approach has helped making large savings due to process and product improvements. In critical meetings with our customers and suppliers, Martin with his natural authority in technical matters and intercultural competence plays a key role in developing effective solutions that are acknowledged by all parties.”
Giulio d. C., General Manager, Seltech, France
“Whenever we encounter a complex problem in process analysis and improvement in our company, I always like to bring Martin into the team. At the end of a project we can be sure that we have got the best out of the process – which our customers also confirm regularly.”
Thomas J., COO, Nittoku Europe GmbH
“Six Sigma has lost its terror. Martin tailored the training to the topics we asked for – thank you.”
Renate D., Quality Manager
“Thank you for the outstanding support in introducing our new measurement systems. Your experience saved us months of optimisation work.”
Christian Z., Project Manager
“Few trainings have changed how my department works as much as this one. My team shows me every day that the statistics training was exactly right, in both content and approach.”
Mario D., Head of Production Process Engineering
“Thank you for the great acoustics training.”
Christian Z., Project Manager
“Mr Justinek, thank you for sending the statistical risk analysis. In our view it is very well structured and plausible. We will forward the report to our customer in its original form.”
Harald P., Director NPI & Development
Reference customers
