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An efficient supplier selection model for hospital pharmacy through fuzzy AHP and fuzzy TOPSIS

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  • P. Manivel
  • Rajesh Ranganathan

Abstract

This article investigates the significance of supplier selection process in hospital pharmacy. Normally, high quality services, inventory and customer satisfaction is influenced mostly by the supplier selection criteria such as cost, delivery of the product, service, flexibility with the consumer, etc. The uncertainty during supplier selection could be handled by MCDM techniques. A methodology is developed to analyze the qualitative and quantitative variables involved in the supplier selection process and it is illustrated with the case study of a hospital pharmacy. This paper analyze the alternatives, criteria and sub criteria of the supplier selection process by multi criteria decision making approach of fuzzy analytic heuristic process (FAHP) and fuzzy technique for order of preference by similarity to ideal solution (FTOPSIS) methods. Finally compare the results obtained by FAHP and FTOPSIS methods and select the appropriate supplier which helps to improve the efficiency of the pharmacy.

Suggested Citation

  • P. Manivel & Rajesh Ranganathan, 2019. "An efficient supplier selection model for hospital pharmacy through fuzzy AHP and fuzzy TOPSIS," International Journal of Services and Operations Management, Inderscience Enterprises Ltd, vol. 33(4), pages 468-493.
    • Handle: RePEc:ids:ijsoma:v:33:y:2019:i:4:p:468-493
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    Cited by:

    1. Anchal Gupta & Rajesh Kumar Singh & Sachin Kr Mangla, 2022. "Evaluation of logistics providers for sustainable service quality: Analytics based decision making framework," Annals of Operations Research, Springer, vol. 315(2), pages 1617-1664, August.

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