Balanced scorecard-based analysis about European energy investment policies: A hybrid hesitant fuzzy decision-making approach with Quality Function Deployment


DİNÇER H., YÜKSEL S., Martínez L.

Expert Systems with Applications, cilt.115, ss.152-171, 2019 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 115
  • Basım Tarihi: 2019
  • Doi Numarası: 10.1016/j.eswa.2018.07.072
  • Dergi Adı: Expert Systems with Applications
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.152-171
  • Anahtar Kelimeler: Quality Function Deployment, Hesitant fuzzy sets, MCDA, Policy making
  • İstanbul Medipol Üniversitesi Adresli: Evet

Özet

This study aims at analyzing the performance results of the European policies in energy investment within an integrated multidimensional quality measurement approach. For this purpose, the quality function deployment is adopted to the multidimensional performance measurement based on the balanced scorecard method. The dimensions and criteria of customer and technical requirements, process design, and performance measurement are defined to measure each process of QFD (Quality Function Deployment) for the energy investment policies with the supported literature. Within this context, the customer and technical requirements for energy investment policies are evaluated by considering the fuzzy decision matrix in the first process of the QFD and then, the technical requirements are used to rank the new service/product process of the energy investments in the second process of QFD. The balanced scorecard perspectives and the key factors are defined to rank the European energy investment policies respectively. Accordingly, the possible priorities of the European energy investment policies are discussed to conduct the most remarkable and efficient energy operations and the relevant results to contribute the improvement of energy sector are highlighted.