Research

ResearchGate profile
GoogleScholar profile

Ongoing conference, book and journal projects:
1. Prof. Ivanov is Editor in International Journal of Integrated Supply Management (Inderscience)
2. Prof. Ivanov is Associate Editor in International Journal of Production Research (Taylor & Francis) and International Journal of Systems Science (Taylor & Francis)
3. Prof. Ivanov is Associate Editor in International Transactions in Operational Research (Wiley)
4. Special Issue „Viability of Supply Networks and Ecosystems: Lessons Learned From COVID-19 Outbreak“ in International Journal of Production Research (submission closed), Call for papers
5. New book project: Supply Network Dynamics and Control (Springer, submission deadline – March 31, 2022) Call for Chapters
6. New book project: Digital Supply Chain (Elsevier), submission deadline – February 16, 2021 (closed)
7. Special Issue „Post-pandemic Adaptation and Viability of Supply Chains“ in Omega (submission deadline: October 31, 2021), Call for papers
8. Special Issue „Reconfigurable Supply Chain Networks: Digital Platforms, Epidemics/Pandemics, and Climate Change“ in IJPR (submission deadline: December 25, 2021), Call for papers
9. Special Issue „Modeling and Optimization of Supply Chain Resilience to Pandemics and Long-Term Crises“ in IISE Transactions (submission deadline: March 31, 2022), Call for papers
10. Special Issue „Analysis, Optimization, and Collaboration in Digital Manufacturing and Supply Chain Systems“ in IJPE (submission deadline: May 30, 2022), Call for papers
11. MIM 2022 Special Issue „Digital Manufacturing and Supply Chain: Creating Benefits Through Operations Research and Artificial Intelligence“ in ANOR (submission deadline December 31, 2022) Call for papers
12. Special Issue „Global Ports and Shipping Governance in the Post COVID-19 Pandemic Era“ in Ocean & Coastal Management (submission deadline: April 30, 2022 ), Call for papers
13. Special Issue „Resilience and Re-emergence – Supply Chain’s phoenix moments“ in Journal of Global Operations and Strategic Sourcing (submission deadline: June 30, 2022 ), Call for papers
14. Special Issue „Design and management of energy-efficient and energy-resilient supply chains“ in IJPR, Call for papers (deadline December 25, 2022)

Recently completed projects:
Book „Scheduling in Industry 4.0 and Cloud Manufacturing“ [submission closed] (Published)
Special Issue „Supply Chain Resilience and its Interplay with Digital Technologies“ in International Journal of Physical Distribution & Logistics Management, [published]
Special Issue „Machine Learning in Manufacturing and Industry 4.0 applications“ in International Journal of Production Research, [Published]
Special Issue „Ripple Effect and Supply Chain Disruption Management“ in Interational Journal of Production Research [Published]
Special Issue „OR and analytics for digital, resilient, and sustainable manufacturing 4.0“ in Annals of Operations Research associated with MIM 2019 conference: submission of selected papers presented at MIM 2019 [Published]
Special Issue „Exploring supply chain structural dynamics: new disruptive technologies and disruption risks“ in Interational Journal of Production Economics [Published]
Special Section @ International Journal of Information Management: „Intelligent Methods and Systems supporting Decision Making: Towards Digital Supply Chain Twins“, associated with MIM 2019 conference: [published]
Special Issue „Supply Chain Finance“ in IFORS Journal „Interational Transactions on Operational Research“ [submission closed];  Published

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

His research projects have been supported by funding from European Commission (Horizon 2020), DFG (German Research Foundation), IFAF as well industrial companies. In total, funding over one million euro has been obtained.

Our understanding of research in supply chain management and operations is based upon a combination of digitalization, resilience, sustainability and efficiency.

Prof. Ivanov’s research is based upon integrated consideration of processes, quantitative methods and technology for investigation of value-adding system dynamics.

His research explores supply chain structural dynamics and control, with an emphasis on global supply chain design with disruption risks, optimal control and data-driven scheduling in Industry 4.0 systems, data-driven supply chain simulation and optimization, and risk analytics in the digital era. He is co-author of structural dynamics control methods for supply chain management. He applies mathematical programming, simulation, control and fuzzy theoretic methods. Based upon triangle “process-model-technology”, he investigates the dynamics of complex networks in production, logistics, and supply chains. Most of his courses and research focuses on the interface of supply chain management, operations research, industrial engineering, and digital technology.

Research methods comprise mathematical optimization, discrete-event simulation, agent-based simulation, optimal program control theory, fuzzy theory and bio-inspired heuristics. Tools may include CPLEX, AnyLogic, anyLogistix as well as own software.