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Solution space exploration in a High Mix Low Volume Manufacturing Environment

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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 languageEnglish
Pages (from-to)747-752
Number of pages6
JournalProcedia CIRP
Volume134
Early online date16 Jun 2025
DOIs
Publication statusPublished - 2025
Event58th CIRP Conference on Manufacturing Systems, CMS 2025 - University of Twente, Horst Building, Enschede, Netherlands
Duration: 13 Apr 202516 Apr 2025
Conference number: 58
https://www.cirp-cms2025.org/

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 9 - Industry, Innovation, and Infrastructure
    SDG 9 Industry, Innovation, and Infrastructure

Keywords

  • manufacturing predictability
  • n-dimensional manufacturing environment
  • process uncertainty
  • research-by-design

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