Designing the fuzzy expert system to analyze the failures of the purchasing process in BUALI hospital

Document Type : Management & Organization

Authors

1 Assistant professor, Management department, Faculty of Economics and administrative Sciences, University of Mazandaran, Babolsar, Iran

2 PhD student, University of tehran, faculty of Management, Tehran, Iran

Abstract

The widespread use of medical technology required a considerable amount of resources to be purchased for equipment. Obviously, if the process of purchasing is not properly managed the quantity and quality of these items will not be coordinated with the actual needs of the hospital. Therefore, to avoid wasting resources, money and time, the present article seeks to provide a fuzzy system to evaluate and prioritize the risks involved in purchasing of BUALI hospital.
In the present study, a list of possible failures was first identified by studying the subject literature and interviewing experienced experts. Then by more interviewing and examining the experts, the most critical failures were extracted from the list of failures in terms of their importance and their impact. The RPN of each failure was calculated based on the FMEA approach in both classic and fuzzy ways. In fuzzy method, the fuzzy expert system was used to provide a failure risk assessment model. According to the results, the most important failures in the BUALI hospital purchase process, which should be considered more than once, are: "lack of marketable goods", "delayed delivery of goods" and "instant goods deficit". Applying the fuzzy inference system, despite the risk rating of the purchasing process, can provide a clear understanding of each of the risks due to the degree of membership associated with the fuzzy RPN. Therefore, considering the sensitivity of the purchasing process in hospitals, it can be considered for better shopping management.

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Main Subjects

References

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History

  • Receive Date: 13 February 2019
  • Revise Date: 08 May 2019
  • Accept Date: 02 September 2019

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