Open AccessAn application of fuzzy analytic hierarchy process in a university teaching hospital
Author(s) -
Mariana Izelli Miranda,
Danilo Hisano Barbosa,
Syntia Lemos Cotrim
Publication year - 2020
Publication title -
independent journal of management and production
Language(s) - English
Resource type - Journals
ISSN - 2236-269X
DOI - 10.14807/ijmp.v11i7.1147
Subject(s) - purchasing process , analytic hierarchy process , purchasing , computer science , quality (philosophy) , operations management , business , health sector , service quality , process (computing) , contextualization , service (business) , fuzzy logic , process management , health care , operations research , health services , marketing , medicine , economics , artificial intelligence , engineering , population , philosophy , interpretation (philosophy) , economic growth , environmental health , operating system , epistemology , programming language
Supplier’s management plays an important role in cost and quality performance of purchasing companies. This important role has provided the growth of studies on the application of multi-criteria analysis method in manufacturing companies, although, with less impact on the services sector, mainly in the healthcare sector. For that reason, this research aimed to show the results of Fuzzy AHP multi-criteria analysis method application in a university teaching hospital, with the purpose of improving the operation and internal management of pharmacy suppliers. Among the main results and contributions of the research, it is an elaborated description of each step of the method, followed by contextualization of the sector, revealing the application of fuzzy inference in the analysis of variables mostly qualitative in this specific sector. The findings of this study can provide the managers with valuable insights into the dimensions that reflect decision making when choosing suppliers in the setting of a university teaching hospital. By knowing these criteria, hospitals can increase their quality of service by selecting the best supply options for medical and hospital supplies, providing better service to patients.