Designing Shock-Ready Agrifood Supply Chains

Systemic shocks such as the pandemic, geopolitical conflicts, energy price volatility and climate-related disruptions have exposed structural weaknesses in agrifood supply chains. Traditionally configured according to costefficiency and lean management principles, these networks have proven fragile when confronted with simultaneous and prolonged disruptions. In this context, resilience must be embedded in the strategic design of supply chain networks rather than treated as a reactive capability. This study develops a network-oriented decision framework to identify the most critical resilience drivers in agrifood supply chains and to determine which strategic resilience approach should be prioritized under systemic shocks. An integrated Analytic Network Process (ANP) and Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) methodology is adopted. ANP captures interdependencies among resilience drivers, while TOPSIS ranks alternative resilience strategies based on weighted criteria. Findings indicate that digital supply chain visibility, strategic logistics outsourcing governance, network diversification and dynamic business continuity planning are the most influential resilience drivers. Among strategic alternatives, agility emerges as the most appropriate resilience orientation in shock-prone environments. The study contributes to the supply chain management debate by integrating digitalization, logistics governance and network configuration into a structured decision-support framework for designing shock-ready agrifood supply chains.