Abstract
AbstractKey performance indicators (KPIs) are widely used to monitor and control the production in industry. On an aggregated level, often represented as graphs or interrelated KPI systems, a comprehensive overview is given. However, missing or inaccurate sensor data and KPIs, as well inconsistencies in KPI based management are a major hurdle disturbing operations. To counter the impact of such missing KPIs, we propose a value optimization based approach to reconstruct the values of missing KPIs within a KPI system. While the approach shows successful reconstruction in the case study, the value optimization can be sped up through a random forest prediction of the initial optimization set. Thus, the inclusion of previous knowledge about the system behavior proves beneficial and superior to the pure optimization based approach, as validated by both randomized and simulation-based measurement data.
Funder
Baden-Württemberg Stiftung
Karlsruher Institut für Technologie (KIT)
Publisher
Springer Science and Business Media LLC
Subject
Industrial and Manufacturing Engineering,Mechanical Engineering
Reference42 articles.
1. Maté A, Trujillo J, Mylopoulos J (2012) Conceptualizing and specifying key performance indicators in business strategy models. In: International Conference on Conceptual Modeling, vol. 7532. Springer, pp. 282–291
2. Stricker N, Echsler F, Lanza G (2017) Selecting key performance indicators for production with a linear programming approach. Int J Prod Res 55(19):5537–5549
3. Kapp V, May MC, Lanza G, Wuest T (2020) Pattern recognition in multivariate time series: towards an automated event detection method for smart manufacturing systems. J Manuf Mater Process 4(3):88
4. Kang N, Zhao C, Li J, Horst JA (2016) A hierarchical structure of key performance indicators for operation management and continuous improvement in production systems. Int J Prod Res 54(21):6333–6350
5. Automation systems and integration—key performance indicators (kpis) for manufacturing operations management—part 2: Definitions and descriptions. Standard, International Organization for Standardization, Geneva, CH (January 2014)
Cited by
1 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献