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Benchmark

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

Target Costing

  • 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

Digital Twin

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.