Research

My research explores structural dynamics and control in complex networks, with applications to supply chain resilience, Industry 4.0, supply chain simulation, risk analytics and digital supply chain twins. I am co-author of structural dynamics control method. My research coined several seminal academic and practical directions such as the ripple effect in supply chains and supply chain viability. I have applied different methodologies such as optimization, simulation, control theory, and artificial intelligence to a variety of supply chain and operations management problems. Most of my research stems from real practical context and focuses on the interface of supply chain management, operations research, industrial engineering, and digital technology. 

Research interests:

Supply chain resilience, structural dynamics and risk management: supply chain resilience and design with disruption risk considerations, ripple effect in the supply chain, complexity, network theory, simulation, viability
Digital twins, Industry 4.0 and digital manufacturing: digital supply chain twins, scheduling in Industry 4.0 and cloud manufacturing, real-time scheduling, data-driven optimization and simulation, Blockchain applications to supply chain and operations management

Most important research results:

• Founder of the Ripple effect research in supply chains

• Author of the Viable Supply Chain model

• Author of the Cloud Supply Chain framework

• Author of AURA (active usage of resilience assets) and LCN (low-certainty-need) supply chain frameworks

• Formulation and solution of new scheduling problem for Industry 4.0 systems: CF/DFJS (continuous flows / dynamic job shop scheduling)

• Author of Intertwined Supply Network framework

• Conceptualization of an Intelligent Digital Twin for Supply Chain Resilience