- Supply Chain Resilience and Risk Management
- Quality and Supply Management
- Sustainable Supply Chain Management
- Supply Chain and Inventory Management
- Scheduling and Optimization Algorithms
- Digital Transformation in Industry
- Flexible and Reconfigurable Manufacturing Systems
- Advanced Manufacturing and Logistics Optimization
- Process Optimization and Integration
- Collaboration in agile enterprises
- Product Development and Customization
- Assembly Line Balancing Optimization
- Economic and Technological Systems Analysis
- Manufacturing Process and Optimization
- Big Data and Business Intelligence
- Outsourcing and Supply Chain Management
- Advanced Control Systems Optimization
- Occupational Health and Safety Research
- Complex Systems and Decision Making
- Vehicle Routing Optimization Methods
- Facility Location and Emergency Management
- Risk and Safety Analysis
- Operations Management Techniques
- Optimization and Packing Problems
- Economic and Technological Innovation
Berlin School of Economics and Law
2016-2025
Lomonosov Moscow State University
2023-2025
Institute of Applied Physics
2025
Ufa Institute of Chemistry
2023-2024
Voronezh State University
2024
Technion – Israel Institute of Technology
2024
Smolensk State University
2024
Tatarstan Academy of Sciences
2024
Moscow State University of Civil Engineering
2023
University of Padua
2023
The impact of digitalisation and Industry 4.0 on the ripple effect disruption risk control analytics in supply chain (SC) is studied. research framework combines results from two isolated areas, i.e. SC management (SCM) SCM control. To best our knowledge, this first study that connects business, information, engineering perspectives risks. This paper does not pretend to be encyclopedic, but rather analyses recent literature case-studies seeking bring discussion further with help a conceptual...
An intertwined supply network (ISN) is an entirety of interconnected chains (SC) which, in their integrity secure the provision society and markets with goods services. The ISNs are open systems structural dynamics since firms may exhibit multiple behaviours by changing buyer-supplier roles or even competing SCs. From positions resilience, as a whole provide services to (e.g. food service, mobility service communication service) which required ensure long-term survival. analysis...
We theorize a notion of digital supply chain (SC) twin – computerized model that represents network states for any given moment in real time. explore the conditions surrounding design and implementation twins when managing disruption risks SCs. The combination model-based data-driven approaches allows uncovering interrelations risk data, modeling, performance assessment. SC shocks adaptations amid COVID-19 pandemic along with post-pandemic recoveries provide indisputable evidences urgent...
Viability is the ability of a supply chain (SC) to maintain itself and survive in changing environment through redesign structures replanning performance with long-term impacts. In this paper, we theorize new notion-the viable (VSC). our approach, viability considered as an underlying SC property spanning three perspectives, i.e., agility, resilience, sustainability. The principal ideas VSC model are adaptable structural designs for supply-demand allocations and, most importantly,...
The coronavirus (COVID-19) outbreak shows that pandemics and epidemics can seriously wreak havoc on supply chains (SC) around the globe. Humanitarian logistics literature has extensively studied epidemic impacts; however, there exists a research gap in understanding of pandemic impacts commercial SCs. To progress this direction, we present systematic analysis outbreaks SCs guided by structured review collated unique set publications. findings suggest influenza was most visible reported,...
In this study, the ripple effect in supply chain is analysed. Ripple describes impact of a disruption propagation on performance and disruption-based scope changes structural design planning parameters. We delineate major features as compared to bullwhip effect. Subsequently, we review recent quantitative literature that tackled explicitly or implicitly give our vision state art perspectives. The classified into mathematical optimisation, simulation, control theoretic complexity reliability...
This study aims at presenting the Ripple effect in supply chains. It develops different dimensions of and summarises recent developments field chain (SC) disruption management from a multi-disciplinary perspective. structures classifies existing research streams applications areas quantitative methods to analysis as well identifying gaps current delineating future avenues. The shows that frameworks already exist implicitly for tackling SC dynamics, control domain. However, tools are still...
Smart factories Industry 4.0 on the basis of collaborative cyber-physical systems represents a future form industrial networks. Supply chains in such networks have dynamic structures which evolve over time. In these settings, short-term supply chain scheduling smart is challenged by temporal machine structures, different processing speed at parallel machines and job arrivals. this study, for first time, model algorithm presented. The peculiarity considered problem simultaneous consideration...
Recently, the applications of Blockchain technology have begun to revolutionise different aspects supply chain (SC) management. Among others, is a platform execute smart contracts in SC as transactions. We develop and test new model for contract design with multiple logistics service providers show that this problem can be presented multi-processor flexible flow shop scheduling. A distinctive feature our approach execution physical operations modelled inside start completion cyber...
Firms have learned how to strengthen the resilience of their global supply chains (SC) confront disruptions triggered by severe disasters. However, a new instigator SC disruption, quite unlike any seen in recent times, has now emerged – COVID-19/SARS-CoV-2 virus. We model ripple effect an epidemic outbreak SCs considering velocity pandemic propagation, duration production, distribution and market demand decline. analyse risk mitigation measures potential recovery paths. Implications for...
Industry 5.0 is a combination of organisational principles and technologies to design manage operations supply chains as resilient, sustainable, human-centric systems. While the general notion has been elaborated, its implications for future remain underexplored. This paper contributes conceptualisation from perspective viability. We contextualise framework through lens viable chain model, reconfigurable chain, ecosystems. Our study uncovers major dimensions that characterise...
While Industry 4.0 has been trending in practice and research, operations management studies this area remain nascent. Our intent is to understand the current state of research different disciplines deduce insights opportunities for future management. In paper, we provide a focused analysis examine state-of-the-art 4.0. To learn about researchers' perspectives 4.0, conducted large-scale, cross-disciplinary global survey on topics among researchers industrial engineering, management, control...
The machine learning (ML) field has deeply impacted the manufacturing industry in context of Industry 4.0 paradigm. paradigm encourages usage smart sensors, devices, and machines, to enable factories that continuously collect data pertaining production. ML techniques generation actionable intelligence by processing collected increase efficiency without significantly changing required resources. Additionally, ability provide predictive insights enabled discerning complex patterns offers a...
Dynamics of structures and processes is one the underlying challenges in supply chain management, where multiple dimensions economic efficiency, risk management sustainability are interconnected. One substantiated issues dynamics resilience. Resilience has a number intersections with sustainability. This paper aims at analysing disruption propagation consideration factors order to design resilient structure regard ripple effect mitigation increase. Ripple occurs if supplier cannot be...
Research on supply chain (SC) digitalization, resilience, sustainability and leagility has remarkably progressed, most of it focused the individual contributions these four major frameworks. However, a lack integration spanning frameworks can be observed. In this conceptual paper, we hypothesize that reconfigurability considered such an integral perspective consolidates research in SC adaptation to ever changing environments. We theorize new notion – Reconfigurable or X-network exhibits some...
Abstract Manufacturing flexibility improves a firm’s ability to react in timely manner customer demands and increase production system productivity without incurring excessive costs expending an amount of resources. The emerging technologies the Industry 4.0 era, such as cloud operations or industrial Artificial Intelligence, allow for new flexible systems. We develop test analytical model throughput analysis use it reveal conditions under which autonomous mobile robots (AMR)-based networks...
The COVID-19 pandemic has challenged supply chains (SC) on an unprecedented scale testing viability and adaptation under severe uncertainty. However, the literature strategies quantification of their impacts is still scarce. Mixing analysis, case study approach, quantitative techniques for performance assessment disruptions, our generalises four adaptations – intertwining, scalability, substitution, repurposing to maintain SC when facing a pandemic, offers model analyse quantify deployment...
This study suggests a new approach to supply chain (SC) disruption risk management where SC behaviour is less dependent on the certainty of our knowledge about environment and its changes. The unpredictability occurrence magnitude that designing SCs with low need for 'certainty' may be as important, if not more so, than predetermined control strategies. In this setting, calls development perspective in management, i.e. low-certainty-need (LCN) SCs. A number principles concepts derived...
The ripple effect refers to structural dynamics and describes a downstream propagation of the downscaling in demand fulfilment supply chain (SC) as result severe disruption. bullwhip operational amplifies upstream direction ordering oscillations. Being interested uncovering if can be driver effect, we performed simulation-based study investigate interrelations SC. results advance our knowledge about both effects reveal, for first time, that bullwhip-effect driver, while latter launched by...