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 Ivanov , Dmitry - Einzelansicht

  • Funktionen:
Grunddaten
Nachname Ivanov Geschlecht männlich
Vorname Dmitry Sprechzeit
Namenszusatz Personalstatus Hochschullehrer(in)
Titel Prof. Dr. Bemerkung
Akad. Grad Status intern

Funktionen

Einrichtung Funktion von bis Ergänzung
Fachbereich 1 Wirtschaftswissenschaften Professor(in)
BWL 1 (Unternehmensführung/Personal/Organisation) Professor(in)

Dienstadresse

PLZ 10825 Telefon +49 (0)30 30877-1155
Ort Berlin Fax +49 (0)30 30877-
Straße Badensche Strasse 50-51 E-Mail-Adresse divanov@hwr-berlin.de
Dienstzimmer B 3.49 Hyperlink http://www.hwr-berlin.de/fachbereich-wirtschaftswissenschaften/lehrende/detailansicht/dmitry-ivanov-1/
Gebäude Haus B (Badensche) Sekretariat
Zuordnung zu Einrichtungen
Fachbereich 1 Wirtschaftswissenschaften

Zugeordnete Projekte

Models and Methods for an active ageing workforce: an international academy
Digitales Performance Management in internationalen Lieferketten
Industrie für Healthcare: Kapazitätsanpassung bei Pandemie
Cerials Resiliency Revolution for agile supply chain management in the Mediterranean
Achieving resilience through manufacturing as a service, digital twins and ecosystems
HWR Research Competence Centre: Challenges and Resilience of Global Supply and Value Chains

Zugehörige Publikationen

Erscheinungsjahr 2025
A Two-Layer Digital Twin for Implementing Simultaneous Resilience Strategies in Electronics Manufacturing
A framework for evaluating proactive and reactive supply chain resilience measures using a combination of factorial and discrete choice analysis
An adaptive federated learning system for information sharing in supply chains
Applications of artificial intelligence in industry 4.0 and smart manufacturing
Blackout and Supply Chains: Performance, Resilience and Viability Impact Analysis
Conceptual and formal models for design, adaptation, and control of digital twins in supply chain ecosystems
Democratizing human-AI collaborative decision-making in agri-food supply chains: a trust-building framework
Digital manufacturing and supply chain: creating benefits through operations research and artificial intelligence
Digital transformation in the blockchain era: Balancing efficiency and resilience in operations management
End-to-End Supply Chain Resilience Management using Deep Learning, Survival Analysis, and Explainable Artificial Intelligence
From digital twins to supply chain ecosystems
Global Supply Chain and Operations Management: A decision-oriented introduction into the creation of value
Handbook of Ripple Effects in the Supply Chain
Integrated planning for a global pharmaceutical supply chain: an ambidexterity perspective
Integrating digital twin and blockchain for responsive working capital management in supply chains facing financial disruptions
Internet of behaviors: conceptual model, practical and theoretical implications for supply chain and operations management
Introduction to Operations and Supply Chain Simulation with AnyLogic.
Introduction to Supply Chain Resilience and Viability
Life can’t be too sweet: the effects of sugar-sweetened beverage labelling on the government’s health battle
New normal, new norms: Towards sustainable and resilient global logistics and supply chain management
No risk, no fun? A bioinspired adaptation-based framework for supply chain resilience in Industry 5.0
Optimization of network redundancy and contingency planning in sustainable and resilient supply chain resource management under conditions of structural dynamics
Stress tests for supply chains: towards resilience and viability
Supply Chain Economics: Research Landscape and Future Directions
Supply chain stress testing for tariff shocks and trade conflicts: methods, models, and reciprocal influence of operations and economics
Supply chain viability in the post-COVID era
Tariff shocks, ripple effect, and deep uncertainty in supply chains: we are entering a turbulence zone, please fasten your seatbelts
The transformative power of generative AI for supply chain management: Theoretical framework and agenda
Towards resilient and viable supply chains: a multidimensional model and empirical analysis
What network and performance indicators can tell us about supply chain and sourcing resilience (and what they cannot)
When is the supply chain resilient? Customer and operational perspectives
Funktionen anzeigen weitere zugehörige Publikationen

Zugeordnete Tagungen/Workshops

5. Forschungsforum der HWR Berlin
HWR Forschungsergebnisse online präsentiert

Strukturbaum

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