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, Türkiye, 31 Ekim - 02 Kasım 2019, ss.526-529 identifier identifier

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Cilt numarası:
  • Doi Numarası: 10.1109/asyu48272.2019.8946387
  • Basıldığı Şehir: İzmir
  • Basıldığı Ülke: Türkiye
  • Sayfa Sayıları: ss.526-529
  • Anahtar Kelimeler: Fuzzy cognitive maps, key performance indicators, performance measurement, criteria interaction
  • Dokuz Eylül Üniversitesi Adresli: Evet

Özet

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.