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A proposed circular-SCOR model for supply chain performance measurement in manufacturing industry during COVID-19

Melisa Ozbiltekin-Pala (Department of Logistics Management, Yasar University, Izmir, Turkey)
Aydın Koçak (Faculty of Economics and Administrative Sciences, Ege University, Izmir, Turkey)
Yigit Kazancoglu (Department of Logistics Management, Yasar University, Izmir, Turkey)

International Journal of Quality & Reliability Management

ISSN: 0265-671X

Article publication date: 19 December 2022

114

Abstract

Purpose

COVID-19 is a global event affecting supply chain operations and human health. With COVID-19, many issues in business models, business processes and supply chains, especially in the manufacturing industry, have had to change. The ability to analyze supply chain performances and ensure circularity in supply chains has become one of the factors whose importance has increased rapidly with COVID-19. Therefore, it aims to determine which supply chain performance criteria come to the fore for the company under consideration to accelerate the transformation into high performance and circularity in supply chains.

Design/methodology/approach

In this study, a new circular-SCOR model is proposed, and 17 supply chain performance measurement criteria are prioritized for a manufacturing company in the context of circular economy principles during COVID-19 by using stepwise weight assessment ratio analysis and analytical hierarchy process method, separately.

Findings

As a result, for both methods, in the case study discussed, the demand fulfillment rate is determined as the most prominent criterion in line with the circular economy principles in the COVID-19 period in manufacturing supply chains.

Originality/value

It is expected that this study will contribute to managers and policy makers as it addresses the “new normal” that started after COVID-19 and the criteria to be considered in supply chain performance measurement and emphasizes the need to adopt circular supply chains, especially in manufacturing industries.

Keywords

Citation

Ozbiltekin-Pala, M., Koçak, A. and Kazancoglu, Y. (2022), "A proposed circular-SCOR model for supply chain performance measurement in manufacturing industry during COVID-19", International Journal of Quality & Reliability Management, Vol. ahead-of-print No. ahead-of-print. https://doi.org/10.1108/IJQRM-03-2022-0101

Publisher

:

Emerald Publishing Limited

Copyright © 2022, Emerald Publishing Limited

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