DocumentCode :
694290
Title :
An Analytic Network Process model to support decision making in a pharmaceutical supply chain
Author :
Machado, V.H. ; Barroso, A.P. ; Cruz Machado, V.
Author_Institution :
Dept. of Mech. & Ind. Eng., Univ. Nova de Lisboa, Lisbon, Portugal
fYear :
2013
fDate :
10-13 Dec. 2013
Firstpage :
1612
Lastpage :
1616
Abstract :
This paper intends to design an Analytic Network Process model to assists managers of different pharmaceutical supply chain entities in identifying and prioritize the management practices they use or should use to achieve a competitive position in the market. The model involves interactions between various criteria for management practice selection. To this purpose a set of clusters and elements related to a Portuguese pharmaceutical supply chain are identified to compose the model and pairwise compared with respect to a given factor. The results obtained from the proposed model show that the most suitable management practice for the pharmaceutical supply chain studied is “Just In Time” if the lean supply chain management paradigm was implemented and “Promoting visibility throughout the supply chain” if was the agile paradigm. Concerning the key performance measures, “On-Time-In-Full delivery” and “Inventory value” are selected respectively for lean and agile supply chain management.
Keywords :
analytic hierarchy process; decision making; lean production; pharmaceutical industry; supply chain management; Portuguese pharmaceutical supply chain; analytic network process model; competitive market position; decision making; inventory value; just-in-time supply chain; lean supply chain management paradigm; management practice selection; management practices; on-time-in-full delivery; Analytical models; Companies; Decision making; Pharmaceuticals; Supply chain management; Supply chains; ANP model; Supply chain management; agile supply chain; lean supply chain; pharmaceutical supply chain;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industrial Engineering and Engineering Management (IEEM), 2013 IEEE International Conference on
Conference_Location :
Bangkok
Type :
conf
DOI :
10.1109/IEEM.2013.6962682
Filename :
6962682
Link To Document :
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