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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
Veranstaltungen
Vst.-Nr. Veranstaltungen Semester
207093 Global Supply Chain Management and Information Systems WS 2020/21
207094 Selected Topics in Supply Chain and Operations Management WS 2020/21
611092 Global Supply Chain Management WS 2020/21
619091 Tutorial Seminar 1 WS 2020/21
619901 Research Seminar WS 2020/21

Zugeordnete Projekte

Models and Methods for an active ageing workforce: an international academy

Zugehörige Publikationen

Erscheinungsjahr 2019
A model of an integrated analytics decision support system for situational proactive control of recovery processes in service-modularized supply chain
A multi-layer congested facility location problem with consideration of impatient customers in a queuing system
A real-option approach to mitigate disruption risk in the supply chain
A supervised machine learning approach to data-driven simulation of resilient supplier selection in digital manufacturing
An utility-adjusted newsvendor model
Big Data Analysis in Social Networks for Managing Risks in Clothing Industry
Building Resilience and Managing Post-Disruption Supply Chain Recovery: Lessons from the Information and Communication Technology Industry
Case studies of the digital technology impacts on supply chain disruption risk management
Challenges for the Cyber-Physical Manufacturing Enterprises of the Future
Digital supply chain twins: Managing the Ripple effect, resilience and disruption risks by data-driven optimization, simulation, and visibility
Disruption tails and post-disruption instability mitigation in the supply chain
Disruption tails and revival policies in the supply chain
Disruption tails and revival policies: A simulation analysis of supply chain design and production-ordering systems in the recovery and post-disruption periods
Entropy-based analysis and quantification of supply chain recoverability
Global Supply Chain and Operations Management. A decision-oriented introduction into the creation of value
Handbook of the Ripple Effects in Supply Chains
Intellectualization of control: cyber-physical supply chain risk analytics
Low-Certainty-Need (LCN) Supply Chains: A new perspective in managing disruption risks and resilience
Managing disruptions and the ripple effect in digital supply chains: empirical case studies
Managing the risk of supply chain bankruptcy in supply chain network redesign
Multi-Model Description and Control Construction Algorithm of Supply Chain
New disruption risk management perspectives in supply chains: digital twins, the ripple effect, and resileanness
Optimal overbooking strategies in the airlines using dynamic programming approach in continuous time
Performance impact analysis of disruption propagations in the supply chain
Resilient supplier selection and optimal order allocation under disruption risks
Review of quantitative methods for supply chain resilience analysis
Ripple Effect in the Supply Chain. Definitions, Frameworks and Future Research Perspectives
Scheduling in production, supply chain and Industry 4.0 systems by optimal control: fundamentals, state-of-the-art, and applications
Simultaneous structural-functional control of supply chain dynamics and resilience under disruptions and recovery
Success Factors for Supply Chain Management Projects: An Empirical Analysis
The impact of digital technology and Industry 4.0 on the ripple effect and supply chain risk analytics
Funktionen anzeigen weitere zugehörige Publikationen

Zugeordnete Tagungen/Workshops

5. Forschungsforum der HWR Berlin

Strukturbaum

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