B. Sokolov

Publications134
h-index23
Citations2,059
Highly Influential Citations87
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A dynamic model and an algorithm for short-term supply chain scheduling in the smart factory industry 4.0
Smart factories Industry 4.0 on the basis of collaborative cyber-physical systems represents a future form of industrial networks. Supply chains in such networks have dynamic structures which evolve… Expand
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The impact of digital technology and Industry 4.0 on the ripple effect and supply chain risk analytics
TLDR
The impact of digitalisation and Industry 4.0 on the ripple effect and disruption risk control analytics in the supply chain (SC) is studied. Expand
  • 225
  • 13
The Ripple effect in supply chains: trade-off ‘efficiency-flexibility-resilience’ in disruption management
This study aims at presenting the Ripple effect in supply chains. It develops different dimensions of the Ripple effect and summarises recent developments in the field of supply chain (SC) disruption… Expand
  • 236
  • 12
  • PDF
Ripple effect in the supply chain: an analysis and recent literature
In this study, the ripple effect in the supply chain is analysed. Ripple effect describes the impact of a disruption propagation on supply chain performance and disruption-based scope of changes in… Expand
  • 197
  • 11
Scheduling in production, supply chain and Industry 4.0 systems by optimal control: fundamentals, state-of-the-art and applications
TLDR
We present a survey on the applications of optimal control to scheduling in production, supply chain and Industry 4.0 systems with a focus on the deterministic maximum principle. Expand
  • 71
  • 5
Disruption-driven supply chain (re)-planning and performance impact assessment with consideration of pro-active and recovery policies
TLDR
In this study, an approach to re-planning the multi-stage supply chain (SC) subject to disruptions is developed. Expand
  • 82
  • 4
Digital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility
TLDR
The quality of model-based decision-making support strongly depends on the data, its completeness, fullness, validity, consistency, and timely availability. Expand
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Transgenic mice that express a mini-gene version of the human gene for type I procollagen (COL1A1) develop a phenotype resembling a lethal form of osteogenesis imperfecta.
A mini-gene version of the human gene for a pro-alpha 1(I) chain of type I procollagen (COL1A1) was prepared that contained -2.5 kilobases of the promoter region and the 5'- and 3'-ends of the gene… Expand
  • 85
  • 2
Structural quantification of the ripple effect in the supply chain
In recent years, remarkable advancements have been achieved in quantitative analysis methods for supply chain design (SCD). Typically, cost or service level optimisation has been included in the… Expand
  • 70
  • 2
Structure dynamics control approach to supply chain planning and adaptation
  • Dmitry Ivanov, B. Sokolov
  • Engineering
  • 22 October 2012
Many of the existing methods and models of supply chain planning and control consider only one supply chain structure and assume it's more or less static in nature. In practice, supply chains have a… Expand
  • 31
  • 2