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Systems Thinking Approach for Production Process Optimization Based on KPI Interdependencies

2023; Springer Science+Business Media; Linguagem: Inglês

10.1007/978-3-031-43670-3_46

1868-422X

Heiner Winkler, Susanne Franke, Felix Franke, Iren Jabs, Daniel Fischer, Matthias Thürer,

Complex Systems and Decision Making

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.