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

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. © 2023 Elsevier B.V. All rights reserved.