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Supplier selection in pharmaceutical industry

Benchmarking An International JournalPublished 11 July 2008Open access
Konstantinos Kirytopoulos, Vrassidas Leopoulos, Dimitra Voulgaridou
Citations97
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TL;DR

A comprehensive method for the evaluation and selection of suppliers' offers in parapharmaceutical industry clusters is presented and enables the decision maker to visualize the impact of various criteria on the final outcome.

Abstract

Purpose Evaluating and selecting the best among the offers provided by various suppliers is a complex problem that takes into account both tangible and intangible criteria, which incorporate interdependencies and feedback. The decision making is aggravated by the complexity of supply chain relationships and enterprise strategies especially within enterprise clusters. The aim of this paper is to present a comprehensive method for the evaluation and selection of suppliers' offers in parapharmaceutical industry clusters. Design/methodology/approach The proposed approach consists of two parts. The former is the comprehension of the supply chain processes within the parapharmaceutical industry in Greece, and the latter is the use of an analytic network process (ANP)‐based method for the selection of the best offer. Findings The proposed approach enables the decision maker to visualize the impact of various criteria on the final outcome and documents the evaluation results in such a way that they can be communicated to various stakeholders. The results indicate that quality‐related issues dominate the decision‐making process in the parapharmaceutical industry. Research limitations/implications The outcome of the model depends highly on the inputs provided by the decision maker. Moreover, the ANP method is computational intensive, but this limitation can be alleviated by appropriate software tools. Originality/value The proposed framework is considered to be an innovative approach for the parapharmaceutical industry as well as enterprise clusters. The criteria set here may be used for nearly every similar industry consisting of active clusters (for example, the apparel industry).

Keywords

Business, Management and Accounting