The complexity, globalization, and vulnerability of modern supply chains are increasingly evident. Traditional supply chain models find it difficult to adapt to today’s volatile business environment, which encompasses economic fluctuations, disruptions from pandemics, geopolitical unrest, logistical challenges, and extreme weather events.
In this context, resilience has emerged as a strategic imperative, not merely as a risk mitigation measure. The convergence of Big Data Analytics (BDA) and Digital Twin technology is reshaping how enterprises anticipate, respond to, and even capitalize on disruption. These technologies provide end-to-end visibility, predictive modeling, and real-time decision-making, placing supply chain management at the forefront of digital transformation.
Sanjay Vijay Mhaskey, a prominent researcher and thought leader in supply chain resilience and risk management, is among the experts leading this revolution. Through thorough investigation and extensive industry engagement, Sanjay has developed valuable frameworks and insights that can potentially help businesses rethink their supply chain strategies. Two influential papers, “Real-Time Risk Management in Supply Chains Using Digital Twins” and “Role of BDA in Improving Supply Chain Resilience,” stem from his efforts, focusing primarily on the strategic roles of BDA and digital twins. Both scholarly discourse and real-world applications are expected to benefit significantly from these publications.
At the organizational level, Sanjay’s contributions have transcended theoretical boundaries. His research has sparked awareness campaigns, generated ideas for proof-of-concepts, and shaped methodologies for leveraging digital technologies in practical supply chain scenarios. His efforts have enabled his company to build the capacity to provide advisory and consulting services rooted in cutting-edge innovation, unlocking new revenue opportunities while empowering potential clients to cultivate more adaptive and future-ready operations.
Sanjay emphasizes that Big Data Analytics must move beyond its conventional role as a dashboard enabler. “BDA is still underutilized,” he explains, “and rarely used as a proactive engine for decision-making.” He advocates for evolving BDA from descriptive analysis to prescriptive and cognitive analytics, thereby enabling organizations to make real-time, context-aware decisions amid complexity.
Equally transformative is the role of Digital Twins, virtual replicas of supply chains that integrate real-time IoT data and AI-powered simulations to model, monitor, and optimize operations. Sanjay envisions the rise of “cognitive twins”, adaptive systems that continuously learn from their environment and predict outcomes, thus redefining resilience from a reactive to a predictive capability. His insights point toward a future where supply chains function as intelligent, self-healing ecosystems capable of navigating disruption with agility and foresight.
According to Sanjay, “Resilience-as-a-Service” cloud-based platforms that provide real-time disruption diagnostics, cost-benefit analysis for redundancy, and dynamic simulations will become more prevalent in the future. However, he warns that having access to sophisticated tools is not enough. He claims that organizational preparedness is the real challenge. Retraining employees, redefining KPIs, and cultivating a culture of data-driven responsiveness are all necessary structural adjustments that must go hand in hand with technology.
For enterprises aiming to maintain competitiveness in a disruption-prone world, Sanjay presents a compelling takeaway:
“Treat data as a valuable resource, not merely a byproduct. Design your supply chain not just to endure the next disruption, but to leverage it more quickly than your competitors.”
Professionals like Sanjay are reshaping the foundation of supply chain strategy by bridging theory and practice, vision and execution, in a world where change is constant and uncertainty has become the new normal.