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Assessment of Product Variety Complexity
Vladimir Modrak1, Zuzana Soltysova1
1Faculty of Manufacturing Technologies, Technical University of Kosice, Bayerova 1, 080 01 Presov, Slovakia.
Entropy (Basel, Switzerland)
|January 21, 2023
Summary
Product variety complexity assessment is crucial for manufacturing. This study introduces an information theory-based metric to better measure product variety complexity beyond just variant count, aiding mass customization efforts.
Area of Science:
- Industrial Engineering
- Operations Management
- Systems Engineering
Background:
- Product variety complexity significantly impacts manufacturing and supply chain operations.
- Current complexity measures, often based solely on variant numbers, are insufficient.
- Accurate complexity assessment is vital for effective system design and mass customization.
Purpose of the Study:
- To develop a novel measurement method for product variety complexity.
- To create a metric that accurately reflects the relationship between optional components and product variants.
- To provide a tool for better understanding and reducing variety-induced manufacturing complexity.
Main Methods:
- Application of information theory concepts to quantify complexity.
- Development of a new complexity metric based on component-variant relationships.
- Validation of the metric using a realistic design case study.
Main Results:
- The proposed information theory-based metric effectively measures product variety complexity.
- The metric provides a more nuanced understanding than simply counting product variants.
- The developed metric aids in identifying and reducing complexity in mass customization scenarios.
Conclusions:
- Information theory offers a robust framework for assessing product variety complexity.
- The new metric enhances the ability to manage complexity in assembly systems and supply chains.
- This approach serves as a valuable complementary tool for optimizing mass customization strategies.
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