Selection and Assessment of Outsourcing Service Suppliers in Hospitals by Multi-criteria Decision Making (FAHP-FTOPSIS) and Balanced Scorecard (BSC) Combined Model

Document Type: Research Paper

Authors

1 Hospital Management Research Center(HMRC), Iran university of science and medical(IUMS)

2 Hasheminejad Kidney Center, Hospital Management Research Center, Iran University of Medical Sciences, Tehran, Iran

3 Hasheminehad Kidney Center, Iran University of Medical Sciences, Tehran, Iran

Abstract

Background and Objectives: Selection and evaluation of suppliers is one of the main steps in the coordination and integration of outsourcing service supply chain. hospitals outsource many of their services to private companies but so far the issue of this problem has not been investigated by systematic and science methods; thus in this study, this problem was investigated by Multi-Criteria Decision Making (MCDM) models contain FAHP-FTOPSIS approaches  and Balanced Scorecard (BSC).
Methods: This quantitativestudy was carried out in from Jun to Mar 2018 in one of the teaching-clinical hospital in Tehran city (IRAN). The supplier selection problem was the Multi-Criteria Decision Making (MCDM) problem, Therefore AHP-TOPSIS and balanced scorecard (BSC) combined model was proposed based on fuzzy logic to select and evaluate the suppliers. Evaluation criteria were weighted by using Fuzzy AHP that formulated in excel software. Then, based on the weights obtained for the criteria and using the fuzzy TOPSIS technique (formulated in excel software) prioritized the suppliers for food service with a survey of 10 officials and experts in the hospital.
Results: Based on the results, customer and financial aspects of BSC with weigh 0.358788 and 0.356949 respectively had the highest priority in Point of views experts. Among the criteria speed of customer responsiveness (0.108816), The reputation of supplier (0.107017), financial stability (0.098633) and On-time delivery (0.090774) criteria had the highest priorities respectively. Reliability (0.005542), Fame and credit of the supplier (0.005575) Repair time (0.005951) and past performance (0.005951) criteria had the lowest priorities. Then three of supplier prioritized by Fuzzy TOPSIS.
Conclusion: The combination of a Balanced Score Card model and Multi-Criteria Decision-Making approaches provide powerful tools for evaluating and selecting suppliers for health-care providers in the supply chain.

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