A product creation process to meet today's challenges
Five Key Competencies for a value-adding role of engineering
So, what’s the best-practice product development model that can make your business succeed in this new environment? CENIT’s consultants focus on five key digital capabilities that are crucial to a successful value-adding role of engineering.
Master Data Management
- automated end-to-end availability of product master data
- support of cross-functional business processes
Product Release and Change Management
- cross-platform version and change management (ERP and PLM)
- a seamless product audit trail (control and documentation of changes)
- impact analysis and bidirectional replicability
Variant Management, Configuration Management
- management of product variants and product configurations
- cross-functional visibility of engineering, manufacturing and sales variants
- support of end-to-end release and change processes
Handover to Manufacturing (Production Planning and Work Scheduling)
- seamless transition to technical production processes (manufacturing engineering)
- deployment of 3D software solutions to coordinate and optimize assembly and production processes
- cross-platform orchestration of product cost calculation processes (PLM, ERP)
- continous product cost control, also for product variants
- availability of target costing concepts from the early phases of product development
The goal is to represent and guide the products and services of a business by way of virtual twins.
As a virtual counterpart, a digital twin undergoes a product lifecycle, meaning that it accurately mirrors all changes during the concept, product, simulation, quality, planning and production phases. This requires a virtual product platform and a digital process platform as an IT foundation.