Welcome ...
… to my web site extended business card
As a senior advisor I help companies turn their product data into value-driving assets, improving effiency, quality, time to market and new value streams – all by digitalizing the flow of product data across the enterprise.
My contributions typically fall in the 3 stages below
If you find this introduction relevant please use the contact info for a real dialog between two human beings
Best regards
Jens Chemnitz
STRATEGY
Identify prominent drivers for change:
- Delivery issues due to inefficient or inconsistent product data processes?
- Quality flaws due to failed communication or documentation mismatch?
- Shrinking margins due to exceptions, last-minute changes, unmanageable product variance ?
- New opportunities for e.g. digital products or services?
- …?
Example of problem statement:
”We struggle with delays and quality flaws due to the many special requirements and customized solutions”
Example of target picture:
Increase throughput by increasing the level of product standardization in sales, engineering and supply chain – from ‘engineer-to-order’ towards ‘configure-to-order’ with high level of design reuse and automation
ARCHITECTURE
Define needed changes in process, data or systems:
- Sharper definition of products and their variance – across sales, engineering, supply chain?
- Transparancy in the flow of product data: Requirements, design specifications, manufacturing specs/routes?
- Automation of design and/or hand-over to supply chain and service?
- …?
Example of problem statement:
”We fail in bringing our product standardization to the sales agents and later we are unable to benefit from repetitive order execution”
Example of target picture:
Introduce a common definition of product variance and business/IT capabilities to support it: Product modularization, Sales tools to support/enforce the standard, data management solutions to automate design and hand-over to production and service
IMPLEMENTATION
Set actions to ensure your targets are met:
- Avoid implementation complexity and the many pitfalls in back-end digitalization
- Look right through the glossy sales pitch of software vendor presentations to chose the right platforms
- Balance out function integration vs autonomy e.g. between engineering and supply chain
- Define and measure real KPIs to trace the impact
- …
Example of problem statement:
”The vendor sold us a vision of virtual simulation of assets in production, but our install base data is not of the sufficient quality”
Example of target picture:
Select the optimal IT platforms to support the chosen product/system varians and implement datamodels to support consistent specification and change management across mech/elec/SW design etc. Validate a digital thread from requirements to service