Value Engineering

What is Value Engineering?
Value Engineering is a systematic methodology for optimizing the relationship between functionality and costs in industrial manufacturing processes and products. This structured approach aims to maximize customer benefits while minimizing non-value-adding elements through analytical evaluation processes and creative optimization strategies.
Methodological Foundations
The implementation of Value Engineering is based on a multi-dimensional analysis and optimization process:
Fundamental process steps:
- Function analysis and evaluation
- Cost-value relation of individual components
- Identification of optimization potentials
- Development of alternative solution concepts
This systematic approach enables precise identification of improvement potentials.
Analytical Tools
Value Engineering implements various analysis methods:
Central evaluation techniques:
- Function cost analysis
- FAST diagrams (Function Analysis System Technique)
- Value Stream Mapping
- Design-to-Cost methodology
Implementation Process
The systematic Value Engineering process includes:
Structured phases:
- Information phase: Data collection and analysis
- Creativity phase: Generation of alternative solutions
- Evaluation phase: Assessment of solution alternatives
- Implementation phase: Execution of optimal concepts
- Follow-up phase: Success measurement and documentation
Performance Metrics
The assessment is based on measurable performance indicators:
Quantifiable key figures:
- Value Index (functional value/cost)
- Return on Value Engineering (ROVE)
- Cost reduction with maintained functionality
- Time-to-Market optimization
Economic Significance
Systematic Value Engineering generates:
Quantifiable benefits:
- Cost reduction of 15-25% with the same range of functions
- Increase in product quality by 10-20%
- Optimization of material cost structure by 20-30%
- Improvement of production efficiency by 15-25%
The systematic implementation of Value Engineering forms the basis for sustainable competitiveness through optimized cost-benefit relationships in modern manufacturing environments.