Abstract
Strategic, tactical and operational decisions within manufacturing companies are typically based on a combination of available (historical) data, forecasted data, and personal perspectives. These (Key) Performance Indicators are often calculated values accompanied by a subjectively determined target. Solution space explorations represented by, e.g. surface plots allow for a better understanding of the environment around the manufacturing indicators and provide a visual insight in areas with potential risks or opportunities. This requires data points to be derived from simulations in an n-dimensional environment, but also significant commitment of decision-makers. The approach acts as a visual aid in the decision-making process on different levels of aggregation. In order to establish and explore the solution spaces, a research-by-design approach was used to model and simulate an existing production line at a manufacturer.
| Original language | English |
|---|---|
| Pages (from-to) | 747-752 |
| Number of pages | 6 |
| Journal | Procedia CIRP |
| Volume | 134 |
| Early online date | 16 Jun 2025 |
| DOIs | |
| Publication status | Published - 2025 |
| Event | 58th CIRP Conference on Manufacturing Systems, CMS 2025 - University of Twente, Horst Building, Enschede, Netherlands Duration: 13 Apr 2025 → 16 Apr 2025 Conference number: 58 https://www.cirp-cms2025.org/ |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 9 Industry, Innovation, and Infrastructure
Keywords
- manufacturing predictability
- n-dimensional manufacturing environment
- process uncertainty
- research-by-design
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