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. © 2008 Informa UK Ltd.

• Fecha de publicación: 2008
• Institución: Universidad del Rosario
• Repositorio: Repositorio EdocUR - U. Rosario
• Idioma: eng
• OAI Identifier: oai:repository.urosario.edu.co:10336/22395
• Acceso en línea: https://doi.org/10.1080/03091900701860277; https://repository.urosario.edu.co/handle/10336/22395
• Palabra clave: Arsenic compounds; Contracts; Cost reduction; Fuzzy inference; Fuzzy logic; Fuzzy systems; Maintenance; Application service provider (ASP); Computerized maintenance; Contract service providers; Fuzzy Inference System (FIS); Performance indicators; Service contracting; Service quality performance; UK Ltd; (CO); Quality of service; Article; Biomedical engineering; Computer aided design; Cost benefit analysis; Fuzzy logic; Health care facility; Hospital management; Job performance; Quality control; Quantitative analysis; Scoring system; Worker; Artificial Intelligence; Contract Services; Decision Support Techniques; Fuzzy Logic; Outsourced Services; Program Evaluation; Clinical engineering; Fuzzy logic; Service contract management; Technology management
• License: Abierto (Texto Completo)