Solution space exploration in a High Mix Low Volume Manufacturing Environment

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.

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Publication Details

Journal
Procedia CIRP
Published
2025-01-01
DOI
https://doi.org/10.1016/j.procir.2025.02.216
Citations
1
Primary Topic
Manufacturing Process and Optimization
Type
article
Field-Weighted Citation Impact
1.24
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article

Solution space exploration in a High Mix Low Volume Manufacturing Environment

Roy Damgrave, Eric Lutters, Ronald Liefhebber, Sam Groot Roessink
1 citations
Procedia CIRP
Manufacturing Process and Optimization
1.24
article

Solution space exploration in a High Mix Low Volume Manufacturing Environment

Roy Damgrave, Eric Lutters, Ronald Liefhebber, Sam Groot Roessink
article en
1 citations

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.

Procedia CIRPVol. 134
Stellenbosch University (ZA), Thales (Netherlands) (NL), University of Twente (NL)
Industry, innovation and infrastructure
Openalex Percentile: Top 18%
Manufacturing Process and Optimization
1.24
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Solution space exploration in a High Mix Low Volume Manufacturing Environment — Roy Damgrave, Eric Lutters, et al. · Procedia CIRP (2025) | TGRS Research Map | TGRS