Analysis of key performance indicators in a manufacturing plant via fuzzy cognitive maps


BAYKASOĞLU A., Atalay Z. N., Golcuk I.

Innovations in Intelligent Systems and Applications Conference (ASYU), İzmir, Turkey, 31 October - 02 November 2019, pp.526-529 identifier identifier

  • Publication Type: Conference Paper / Full Text
  • Volume:
  • Doi Number: 10.1109/asyu48272.2019.8946387
  • City: İzmir
  • Country: Turkey
  • Page Numbers: pp.526-529
  • Keywords: Fuzzy cognitive maps, key performance indicators, performance measurement, criteria interaction
  • Dokuz Eylül University Affiliated: Yes

Abstract

Companies have to follow key performance indicators (KPIs) for their key objectives, such as increasing of productivity and profit, and reducing cost. Performance measurement and management is also important in this context. The interaction between key performance indicators is often ignored and these interactions are expressed by the subjective evaluations of decision makers. In this study, fuzzy cognitive map (FCM) was trained based on historical data in a production system and connection matrix was formed/analyzed based on the data. KPIs and their values are taken from the company where the present application is performed.