Research

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Ongoing conference, book and journal projects:
1. Prof. Ivanov is General Chair of IFAC MIM 2019 Conference; submission open till December 15, 2018 –  www.mim2019.com
2. Prof. Ivanov is Editor in International Journal of Integrated Supply Management (Inderscience)
3. Ivanov, D., Dolgui A., Sokolov B. (Eds) (2019). Handbook of Ripple Effects in the Supply Chain. Springer, New York, submission open till October 31st, 2018, download CfP
4. 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 Call for Papers
5. Special Issue „Supply Chain Finance“ in IFORS Journal „Interational Transactions on Operations Research“: submission open til December 31st, 2018 Call for Papers
6. Special Issue „Digital Technologies and Initiatives Impacting Supply Chain Integration and Performance“ in Interational Journal of Integrated Supply Management associated with MIM 2019 conference: submission of selected papers presented at MIM 2019 is open till December 31st, 2019, Call for Papers
7. 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, Call for Papers
8. Thematic Section on „Present and Future of Production Engineering“ in Production Journal (open for submissions in 2019 and 2020): Call for Papers
9. Special Session at POMS 2019 (May 2-6, 2019, Washington D.C.) on „

Research interests

Five research domains are currently in the scope of interest:

Supply chain structural dynamics and risk management: supply chain resilience and design with disruption risk considerations, ripple effect in the supply chain
Resilient supply chain simulation and digital twins: data-driven resilience simulation, adaptive supply chain planning, proactive and reactive policies
Scheduling in Industry 4.0 and digital manufacturing: supply chain scheduling, robustness analysis, optimal program control, flexible flow/job shop scheduling
Resilience and networks: resilience analysis, complexity, graph theory, control theory, systems engineering, simulation
Cyper-physical systems and Industry 4.0: new business models in the era of digital manufacturing and smart factory, 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, 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
  • Formulation and solution of new scheduling problem for Industry 4.0 systems: CF/DFJS (continuous flows / dynamic job shop scheduling)
  • 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

His research projects have been supported by funding from DFG (German Research Foundation), Kühne-Foundation, DAAD, Alexander von Humboldt-Foundation as well industrial companies. In total, funding over one million euro has been obtained. The project experience comprises such sectors as automotive, petrochemistry, textile and fashion, aerospace, and retail.

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.

(Co)-author of more than 300 publications, 5 monographs, 6 textbooks, 9 conference proceedings (as Co-Editor), 58 papers in peer-reviewed international journals, 60 peer-reviewed conference papers as well as 22 book chapters written in English, German and Russian. Professor Ivanov’s research has been published in various academic journals, including Annals of Operations Research, Annual Reviews in Control, Computers and Industrial Engineering, European Journal of Operational Research, IEEE Transactions in Engineering Management, International Journal of Integrated Supply Management, International Journal of Production Research, International Journal of Production Economics, International Journal of Technology Management, International Journal of Systems Science, Journal of Scheduling, Omega, and Transportation Research. He serves as Editorial Board Member, Associate Editor and Guest Editor for numerous International Journals such as International Journal of Production Research, International Journal of Integrated Supply Management, Production Journal and International Journal of System Sciences. He co-edits International Journal of Integrated Supply Management. He serves as IPC and Advisory Board member for numerous prestigious international conferences. He is Chair of IFAC TC 5.2 “Manufacturing modelling for management and control”.