INFORMS Webinar: Ripple Effects in Supply Chains at Different Pandemic Stages
Symbiosis Editors‘ Choice Webisodes: Ripple Effect in Supply Chains and New Research Directions in the COVID-19 Pandemic Context
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 – June 30, 2021) Call for Chapters
6. New book project: Digital Supply Chain (Elsevier), submission deadline – February 16, 2021
7. Special Issue „Post-pandemic Adaptation and Viability of Supply Chains“ in Omega (submission deadline: August 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: February 28, 2022), Call for papers
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, submission closed.
Special Issue „Machine Learning in Manufacturing and Industry 4.0 applications“ in International Journal of Production Research, submission closed.
Special Issue „Ripple Effect and Supply Chain Disruption Management“ in Interational Journal of Production Research associated with MIM 2019 conference: submission of selected papers presented at MIM 2019 is open till December 31st, 2019 [submission closed] Call for Papers
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 is open till December 31st, 2019, [submission closed] Call for Papers
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: submission of selected papers presented at MIM 2019 is open till December 31st, 2019, [submission closed]
Special Issue „Supply Chain Finance“ in IFORS Journal „Interational Transactions on Operational Research“ [submission closed]; Published
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:
- Co-author of the supply chain structural dynamics control approach
- For the first time, ripple effect has been defined in scientific literature with the application to supply chain disruption risk management
- For the first time, LCN (low-certainty-need) supply chain framework has been developed
- Formulation and solution of new scheduling problem for Industry 4.0 systems: CF/DFJS (continuous flows / dynamic job shop scheduling)
- For the first time, optimal program control-based supply chain scheduling model and algorithm have been developed
- For the first time, attainable (reachable) sets have been applied to operations schedule robustness and supply chain resilience analysis
- For the first time, Intertwined Supply Networks have been conceptualized
- Author of the Viable Supply Chain model
His research projects have been supported by funding from European Commission (Horizon 2020), DFG (German Research Foundation), DAAD, Alexander von Humboldt-Foundation as well industrial companies. In total, funding over one million euro has been obtained. The project experiences comprise such sectors as automotive, petrochemistry, textile and fashion, aerospace, and retail.
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.