Volume 30, Issue 5 p. 336-348
RESEARCH ARTICLE

Performance optimization of pharmaceutical supply chain by a unique resilience engineering and fuzzy mathematical framework

Vahid Salehi

Corresponding Author

Vahid Salehi

Department of Ocean and Naval Architectural Engineering, Faculty of Engineering and Applied Science, Memorial University of Newfoundland, St. John's, Canada

Correspondence Vahid Salehi, Department of Ocean and Naval Architectural Engineering, Faculty of Engineering and Applied Science, Memorial University of Newfoundland, St. John's, NL A1B 3X7, Canada.

Email: vsalehi@mun.ca

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Razieh Salehi

Razieh Salehi

Department of Systems Engineering, School of Industrial and Systems Engineering, College of Engineering, Center of Excellence for Intelligent Based Experimental Mechanic, University of Tehran, Tehran, Iran

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Mahsa Mirzayi

Mahsa Mirzayi

Department of Systems Engineering, School of Industrial and Systems Engineering, College of Engineering, Center of Excellence for Intelligent Based Experimental Mechanic, University of Tehran, Tehran, Iran

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Faezeh Akhavizadegan

Faezeh Akhavizadegan

Department of Systems Engineering, School of Industrial and Systems Engineering, College of Engineering, Center of Excellence for Intelligent Based Experimental Mechanic, University of Tehran, Tehran, Iran

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First published: 23 April 2020
Citations: 14

Abstract

Pharmaceutical supply chains (PSCs) are responsible for guaranteeing that the right people receive the right medication at the right time and in the right conditions. These responsibilities make PSC very complex and subsequently increase their vulnerability and disturbance probability. Resilience engineering (RE) can enable supply chain managers to cope with disruptions and to help them maintain their efficient performance. This study proposes a unique RE framework for performance optimization of the pharmaceutical sector in a veterinary organization. A standard questionnaire was used to collect the required data. Next, data envelopment analysis (DEA) and fuzzy data envelopment analysis (FDEA) approaches were employed to formulate the problem. Sensitivity analysis was performed based on the most appropriate model of DEA and FDEA. The results showed that redundancy was the most effective factor in enhancing efficiency in PSCs in the veterinary organization. This is one of the first studies that investigate the influence of resilience indicators on PSC through DEA/FDEA and statistical methods.

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