Quality Models for Preventing the Impact of Supply Chain Disruptions in Future Crises

Miroslav Drljača (), Saša Petar, Grace D. Brannan and Igor Štimac
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Miroslav Drljača: Department of Sustainable Mobility and Logistic, University North, Koprivnica, Croatia & Croatian Quality Managers Society, 10000 Zagreb, Croatia
Saša Petar: Department of Sustainable Mobility and Logistic, University North, Trg dr. Žarka Dolinara 1, 48000 Koprivnica, Croatia
Grace D. Brannan: Graduate Medical Education, McLaren Health Care—Macomb Hospital, Mount Clemens, MI 48043, USA
Igor Štimac: Airport Operations and Development Supervision Department and Consulting, Zagreb Airport Ltd., Rudolfa Fizira 1, 10410 Velika Gorica, Croatia

Sustainability, 2025, vol. 17, issue 8, 1-29

Abstract: Supply chains, which have numerous participants, are exposed and vulnerable. In recent years, this has been evident in disruptions caused by circumstances that have changed the context, such as (1) the COVID-19 pandemic, (2) the Suez Canal blockade, and (3) the war in Ukraine. These circumstances caused disruptions in supply chains and surprised numerous participants in the international market, individual organizations, as well as states and entities around the world. This caused confusion and large financial losses for numerous global market participants and for people all around the world. The purpose of this paper is to design three original models, the implementation of which should significantly reduce the damage caused by disruptions in supply chains in future crises: (1) a model for individual organizations, (2) a national economy model, and (3) a global model. The authors applied methods of scientific cognition and analyzed three case studies from the recent past. The key finding is that by applying the models with four components (methods, measures, quality tools, and indicators), the resilience of supply chains increases the damage from disruptions in supply chains during future crises can be significantly reduced, and the quality of life of everyone on the planet will be less threatened.

Keywords: supply chain; context change; quality models; supply chain disruptions (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2025
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