Supply Chain Resilience : Optimising Decisions at the Tactical and Operational Level

The complex structure of modern supply chains (SC) and their tendency towards globalisation have increased their exposure to unpredictable events. For companies to sustain their competitive advantage, establishing resilient SC has become a concern over the years, and now with the current disruptive events (e.g. pandemic, Ukraine invasion), a priority. Nonetheless, despite the increasing awareness of the importance of resilience enhancing actions, it still exists scarce literature on quantitative tools to aid decision-makers (DM), particularly at the tactical-operational decision level when facing disruptive events. Towards reducing this gap, a multi-objective mixed-integer linear programming (MILP) model is developed in this paper, with an original stochastic approach to deal with uncertain parameters such as demand, return rates, disruption occurrence and response time. The model is applied in a case study, where insights on tactical-operational decisions taken under disruptive events are discussed and managerial insights are drawn