Performance analysis of healthcare supply chain management with competency-based operation evaluation

Göleç A., Karadeniz G.

COMPUTERS & INDUSTRIAL ENGINEERING, cilt.146, 2020 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 146
  • Basım Tarihi: 2020
  • Doi Numarası: 10.1016/j.cie.2020.106546
  • Dergi Adı: COMPUTERS & INDUSTRIAL ENGINEERING
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, ABI/INFORM, Aerospace Database, Applied Science & Technology Source, Business Source Elite, Business Source Premier, Communication Abstracts, Compendex, Computer & Applied Sciences, INSPEC, Metadex, DIALNET, Civil Engineering Abstracts
  • Erciyes Üniversitesi Adresli: Evet

Özet

The performance analysis of healthcare supply chain management (SCM) has become extremely important as healthcare systems have begun to struggle to enhance operational efficiency and diminish costs. The aim of this study was to measure healthcare SCM in accordance with competency-based operation evaluation. The study was organized as a hierarchical structure based on the main processes, sub-processes, and their operations of healthcare SCM. It is considerably difficult to quantify the competency of an operation. Therefore, a fuzzy model was developed to measure healthcare SCM performance according to competency-based operation evaluation. The fuzzy model consisted of evaluation and measurement levels. The first-level assessed the operations that measured the competency of the operation using a fuzzy heuristic algorithm. The second-level measured the performance of healthcare SCM using a fuzzy rule-based system established based on the performance of the main SCM processes. This model was used to measure the performance of SCM and evaluate the activities of five hospitals operating in Bishkek, Kyrgyzstan. The findings were determined to be helpful for healthcare systems to identify and enhance weak processes and their sub-processes in order to provide competitive advantage against competitors.