A new method based on fuzzy logic to evaluate the contract service provider performance.
This paper puts forward a fuzzy inference system for evaluating the service quality performance of service contract providers. An application service provider (ASP) model for computerized maintenance management was used in establishing common performance indicators of the quality of service. This model was implemented in 10 separate hospitals. As a result, inference produced a service cost/acquisition cost (SC/AC) ratio reduction from 16.14% to 6.09%, an increase of 20.9% in availability, with a maintained repair quality (NRR) in the period of December 2001 to January 2003.
Miguel
C A
CA
Rosario University, School of Medicine, Bogota, DC, Colombia.
Barr
C
C
Moreno
M J L
MJ
D001185:Artificial Intelligence; D003284:Contract Services / Q000145:classification*; D003661:Decision Support Techniques; D017143:Fuzzy Logic; D020416:Outsourced Services / Q000145:classification*; D015397:Program Evaluation / Q000379:methods*