Assessing resilience measures in the Austrian dairy supply chain: a case-based simulation integrating strategic, tactical, and operational decisions

Moritz Kettele and Gernot Lechner

International Journal of Production Research, 2025, vol. 63, issue 11, 3982-4015

Abstract: Given the increasing complexity of supply chains and the potential for disruptive environmental factors, such as the COVID-19 pandemic, decision-makers must increase their (operational) resilience. In particular, food supply chain actors must adopt proactive and reactive strategies and measures to mitigate disruptions and avoid negative consequences, especially for short-term food supply. We present a comprehensive approach to resilience-related decision-making based on empirical data from Austria's dairy supply chain. The research identifies actionable resilience measures across strategic, tactical, and operational dimensions alongside generic resilience strategies. Once done, we integrate them into a discrete-event simulation model that emulates Austria's dairy supply chain. Using a realistic decision-making environment, the model facilitates quantifying and evaluating the effectiveness of the measures in response to disruptions. Insights from the case study assessed in the simulation model emphasise the importance of preparing for different types of disruptions and impact magnitudes with a diverse set of resilience measures. Furthermore, their integration must be carefully assessed for potential unintended consequences in the post-disruption phase. Effective supply chain resilience-related decision-making requires a thoughtful selection of strategic initiatives combined with tactical and operational implementation across generic resilience strategies to prepare for and respond to disruptions.

Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
http://hdl.handle.net/10.1080/00207543.2024.2432472 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:taf:tprsxx:v:63:y:2025:i:11:p:3982-4015

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/TPRS20

DOI: 10.1080/00207543.2024.2432472

Access Statistics for this article

International Journal of Production Research is currently edited by Professor A. Dolgui

More articles in International Journal of Production Research from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().