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Deriving adequate insights in HMLV manufacturing
Veldkamp, Galina (2024) Deriving adequate insights in HMLV manufacturing.
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| Abstract: | Making adequate decisions in high-mix, low-volume (HMLV) environments is difficult due to the interplay of influential factors affecting data points required to obtain insights. To be able to make adequate decisions, data-driven insights are required, based on data points from both company data systems such as ERP/MES and IoT devices. This study highlights the challenges and proposes a systematic approach using these data points to create objective indicators, which are used within a subjective perspective to obtain an insight. Guidelines are offered to enhance predictability and robustness while focussing on the interplay of influential factors and perspectives steering the outcome. Next to these factors, the complexity of manufacturing companies involves production processes which must meet all characteristics for the engendering of tailored (both new and repetitive) product order, the use of various machinery, equipment, and tools with different levels of automation and multiple stakeholders with a broad range in disciplines and skills. A case study on Overall Equipment Effectiveness (OEE) and one about a data-based dashboard verify the approach, emphasizing a holistic understanding of indicators, potential consequences of perspectives, the used data and influential factors to foster informed, stable and adequate insights for decision-making across manufacturing processes. |
| Item Type: | Essay (Master) |
| Faculty: | ET: Engineering Technology |
| Subject: | 50 technical science in general, 58 process technology |
| Programme: | Industrial Design Engineering MSc (66955) |
| Link to this item: | https://purl.utwente.nl/essays/101612 |
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