Title: Trade-off among lean, agile, resilient and green paradigms: an empirical study on pharmaceutical industry in Jordan using a TOPSIS-entropy method

Authors: Taghrid Suifan; Moutaz Alazab; Salah Alhyari

Addresses: School of Business, The University of Jordan, Jordan ' Cyber Security Department, College of Qatar, Qatar ' Computer Operation Department, JEPCO, Jordan

Abstract: This study proposes an integrated multi-criteria decision analysis method (MCDM) to analyse trade-offs among different supply chain management (SCM) paradigms associated with competitive priorities. The study employs the entropy method to derive the alternative weights of the evaluation criteria. The study also employs the technique for order of preference by similarity to ideal solution (TOPSIS) to rank feasible alternatives in order of preference, and then measure trade-offs among the conflicting objectives. A sensitivity analysis is performed to confirm the robustness of the proposed model. An empirical study approach is used to identify the trade-offs in the pharmaceutical supply chains context. The results indicate that the TOPSIS and entropy methods can be utilised in a multi-decision analysis process in which SCM paradigms should be implemented in order to positively influence the competitive position. The findings also reveal that competitive priorities differ between each paradigm. For the pharmaceutical industry of Jordan, the sequence of competitive priorities that arise from this study is thus: first 'quality' should be developed, then 'know-how', 'flexibility', 'delivery', 'customer focus', 'innovation', and finally, 'cost'. This finding represents that, the competitive priority that is most affected by the SCM paradigms is the 'quality' priority.

Keywords: trade-offs; supply chain management paradigms; entropy weight; TOPSIS method; competitive priorities; Jordan.

DOI: 10.1504/IJAOM.2019.098493

International Journal of Advanced Operations Management, 2019 Vol.11 No.1/2, pp.69 - 101

Received: 15 Feb 2018
Accepted: 08 Aug 2018
Published online: 25 Mar 2019 *

Full-text access for editors Full-text access for subscribers Purchase this article Comment on this article