In the dynamic landscape of global logistics, supply chain resilience is paramount for sustained success. Our supply chain models are based on the TTS (Time to Survive) and TTR (Time to Recover) concepts developed by David Simchi-Levi and provide supply chain decision makers the tools to fortify the supply chain against disruptions and uncertainties.
The logistics industry, characterized by its intricate network of operations, faces constant challenges from unforeseen events such as natural disasters, geopolitical tensions, and pandemics. Traditional decision-making approaches often fall short in addressing the need for quick recovery and survival during disruptions.
Recognizing the need for a more resilient supply chain, we integrated Dr. Simchi-Levi’s TTS/TTR concepts into our supply chain decision support models. The TTS/TTR concepts emphasize the time it takes for a supply chain to survive during a disruption and the time required for a full recovery afterward.
Our decision support models not only consider the usual cost-related parameters but also scenarios containing factors related to TTS and TTR. This comprehensive approach allows firms to evaluate the robustness of their supply chain against potential disruptions, ensuring a quick response and recovery.
The TTS/TTR concepts are seamlessly integrated into our supply chain decision support models, creating a holistic framework that factors in time-sensitive considerations. The models were designed to assess the impact of disruptions on various nodes of the supply chain, considering factors such as transportation modes, inventory levels, and production capacities.
The decision support models facilitate scenario planning for potential disruptions. By understanding the time it takes to survive and recover, firms can proactively identify vulnerabilities, implement risk mitigation strategies, and optimize their supply chain for improved resilience.
The TTS/TTR concepts will yield tangible results. Firms will be capable to have a more robust response to disruptions, minimizing downtime and accelerating recovery. Our models provide actionable insights for strategic decision-making, enabling the firm to strike a balance between cost-effectiveness and resilience.