A survey on control theory applications to operational systems, supply chain management, and Industry 4.0

D Ivanov, S Sethi, A Dolgui, B Sokolov - Annual Reviews in Control, 2018 - Elsevier
Modern production and logistics systems, supply chains, and Industry 4.0 networks are
challenged by increased uncertainty and risks, multiple feedback cycles, and dynamics …

Digital twins: A maturity model for their classification and evaluation

JF Uhlenkamp, JB Hauge, E Broda, M Lütjen… - IEEE …, 2022 - ieeexplore.ieee.org
Digital Twins represent a powerful tool for transforming production and logistics towards
Industry 4.0. They mirror physical assets in the digital world, enriching them with additional …

Digital supply chain management and technology to enhance resilience by building and using end-to-end visibility during the COVID-19 pandemic

D Ivanov - IEEE Transactions on Engineering Management, 2021 - ieeexplore.ieee.org
In practice, an increased interest into end-to-end visibility as a future-oriented driver and
capability of resilient supply chains can be observed. However, the research in this area is in …

Blockchain-oriented dynamic modelling of smart contract design and execution in the supply chain

A Dolgui, D Ivanov, S Potryasaev… - … Journal of Production …, 2020 - Taylor & Francis
Recently, the applications of Blockchain technology have begun to revolutionise different
aspects of supply chain (SC) management. Among others, Blockchain is a platform to …

A supervised machine learning approach to data-driven simulation of resilient supplier selection in digital manufacturing

IM Cavalcante, EM Frazzon, FA Forcellini… - International Journal of …, 2019 - Elsevier
There has been an increased interest in resilient supplier selection in recent years, much of
it focusing on forecasting the disruption probabilities. We conceptualize an entirely different …

Digital supply chain twins: Managing the ripple effect, resilience, and disruption risks by data-driven optimization, simulation, and visibility

D Ivanov, A Dolgui, A Das, B Sokolov - Handbook of ripple effects in the …, 2019 - Springer
The quality of model-based decision-making support strongly depends on the data, its
completeness, fullness, validity, consistency, and timely availability. These requirements on …

A data-driven approach to adaptive synchronization of demand and supply in omni-channel retail supply chains

MM Pereira, EM Frazzon - International Journal of Information Management, 2021 - Elsevier
The integration of selling and fulfillment processes triggered by omni-channels is
transforming the retailer's operations management. In this context, there is a lack of research …

A data-driven simulation-optimization framework for generating priority dispatching rules in dynamic job shop scheduling with uncertainties

H Wang, T Peng, A Nassehi, R Tang - Journal of Manufacturing Systems, 2023 - Elsevier
Modeling and optimizing dynamic job shop scheduling problems (DJSSP) without ample
assumptions is inherently challenging due to the increasing complexity and uncertainty …

Industrial big-data-driven and CPS-based adaptive production scheduling for smart manufacturing

F Qiao, J Liu, Y Ma - International Journal of Production Research, 2021 - Taylor & Francis
Smart manufacturing that involves tight integration of the physical system and cyber system
is a hot topic in both industry and academia in the era of the Internet and big data. However …

Production planning and scheduling in Cyber-Physical Production Systems: a review

DA Rossit, F Tohme, M Frutos - International journal of computer …, 2019 - Taylor & Francis
The study of scheduling procedures has generated important contributions to the
improvement of productivity in different industrial branches. In recent years, the incorporation …