Abstract
Production companies are facing more and more the challenges of a globalized market with its increased competition and high customer demands. The claim for individualized products requires production to be flexible and dynamic, while simultaneously supply shortages, short-notice orders or machine downtime increase the difficulty to fulfil production plans and, hence, to stay competitive. In this context, creating highly effective and efficient processes is essential. Thus, for complex systems, as manufacturing processes with many different internal and external influences as well as connections between the production steps are, the cause-effect relations of their actions must be made transparent. We propose a methodology to formulate key performance indicators (KPIs) which are relevant for the achievement of the company’s set goals, to reveal the dependencies between the elements necessary for the calculation of these KPIs, and to identify critical indicators and their effects on the process chain. The methodology is based on Systems Thinking and allows companies to get a deep understanding on the usage of KPI dependencies to effectively control and improve their processes.
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Acknowledgements
ProDaTEX: Data-driven Production Optimization Through Digitized Process Chains in the Textile Industry (01IS21077) is funded by German Federal Ministry of Education and Research.
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Winkler, H., Franke, S., Franke, F., Jabs, I., Fischer, D., Thürer, M. (2023). Systems Thinking Approach for Production Process Optimization Based on KPI Interdependencies. In: Alfnes, E., Romsdal, A., Strandhagen, J.O., von Cieminski, G., Romero, D. (eds) Advances in Production Management Systems. Production Management Systems for Responsible Manufacturing, Service, and Logistics Futures. APMS 2023. IFIP Advances in Information and Communication Technology, vol 691. Springer, Cham. https://doi.org/10.1007/978-3-031-43670-3_46
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