Deriving adequate insights in HMLV manufacturing

Making adequate decisions in high-mix, low-volume (HMLV) environments is difficult due to the complex nature of such manufacturing companies, necessitating data-driven insights for decision-making. This study highlights the challenges and proposes a systematic approach using data points, indicators, perspectives, and insights. It focuses on the interplay of influential factors, objective and subjective factors steering the outcome, and offering guidelines enhancing predictability and robustness. The goal is to foster informed, stable and adequate insights for decision-making across manufacturing processes. A case study on Overall Equipment Effectiveness (OEE) verifies the approach, emphasizing a holistic understanding of indicators at all aggregation levels.