Supplier selection in pharmaceutical industry: An analytic network process approach

Kirytopoulos, K; Leopoulos, V; Voulgaridou, D

dc.contributor.author	Kirytopoulos, K	en
dc.contributor.author	Leopoulos, V	en
dc.contributor.author	Voulgaridou, D	en
dc.date.accessioned	2014-03-01T01:29:16Z
dc.date.available	2014-03-01T01:29:16Z
dc.date.issued	2008	en
dc.identifier.issn	14635771	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/19194
dc.subject	Decision making	en
dc.subject	Greece	en
dc.subject	Pharmaceuticals industry	en
dc.subject	Supplier relations	en
dc.subject	Suppliers	en
dc.subject	Supply chain management	en
dc.title	Supplier selection in pharmaceutical industry: An analytic network process approach	en
heal.type	journalArticle	en
heal.identifier.primary	10.1108/14635770810887267	en
heal.identifier.secondary	http://dx.doi.org/10.1108/14635770810887267	en
heal.publicationDate	2008	en
heal.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). © Emerald Group Publishing Limited.	en
heal.journalName	Benchmarking	en
dc.identifier.doi	10.1108/14635770810887267	en
dc.identifier.volume	15	en
dc.identifier.issue	4	en
dc.identifier.spage	494	en
dc.identifier.epage	516	en