Identification of multidimensional key performance indicators for manufacturing companies

Especially in times of increasing competition and price pressure, companies are striving to constantly improve their own performance. Due to the increasing networking of companies, enterprise performance is more and more influenced by the supply chain performance. It can be assumed that the optimal performance can only be achieved through a holistic view (including the supply chain). For the optimization of networks as well as for the optimization of companies, key performance indicators (KPIs) are often used. Since each company determines the KPIs individually based on its own priorities, there is no comparability and thus the optimization of inter-company value chains is significantly more difficult. The aim of this paper is to identify KPIs that are relevant for a large number of manufacturing companies. The analysis is focused on operational performance dimensions such as efficiency/cost, time, quality and flexibility. For this purpose, a systematic literature analysis of 180 papers was conducted in order to identify frequently considered KPIs. Based on a subsequent quantitative and qualitative analysis eleven particularly relevant KPIs were derived. The identified KPIs form the basis for a holistic analysis of the operational performance of the company. With the basic setting of KPIs, it is possible to create comparability between companies and thus provide the basis for cross-company optimization.