Digital twins-based smart manufacturing system design in Industry 4.0: A review

J Leng, D Wang, W Shen, X Li, Q Liu, X Chen - Journal of manufacturing …, 2021 - Elsevier
A smart manufacturing system (SMS) is a multi-field physical system with complex couplings
among various components. Usually, designers in various fields can only design …

Improving supply chain resilience through industry 4.0: A systematic literature review under the impressions of the COVID-19 pandemic

A Spieske, H Birkel - Computers & Industrial Engineering, 2021 - Elsevier
The COVID-19 pandemic is one of the most severe supply chain disruptions in history and
has challenged practitioners and scholars to improve the resilience of supply chains. Recent …

The Industry 5.0 framework: viability-based integration of the resilience, sustainability, and human-centricity perspectives

D Ivanov - International Journal of Production Research, 2023 - Taylor & Francis
Industry 5.0 is a combination of organisational principles and technologies to design and
manage operations and supply chains as resilient, sustainable, and human-centric systems …

Impact of supply chain digitalization on supply chain resilience and performance: A multi-mediation model

N Zhao, J Hong, KH Lau - International Journal of Production Economics, 2023 - Elsevier
The outbreak of COVID-19 has accelerated the building of resilient supply chains, and
supply chain digitalization is gradually being recognized as an enabling means to this end …

A review on reinforcement learning algorithms and applications in supply chain management

B Rolf, I Jackson, M Müller, S Lang… - … Journal of Production …, 2023 - Taylor & Francis
Decision-making in supply chains is challenged by high complexity, a combination of
continuous and discrete processes, integrated and interdependent operations, dynamics …

Machine Learning for industrial applications: A comprehensive literature review

M Bertolini, D Mezzogori, M Neroni… - Expert Systems with …, 2021 - Elsevier
Abstract Machine Learning (ML) is a branch of artificial intelligence that studies algorithms
able to learn autonomously, directly from the input data. Over the last decade, ML …

Artificial intelligence applications in supply chain management

M Pournader, H Ghaderi, A Hassanzadegan… - International Journal of …, 2021 - Elsevier
This paper presents a systematic review of studies related to artificial intelligence (AI)
applications in supply chain management (SCM). Our systematic search of the related …

A digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0

D Ivanov, A Dolgui - Production Planning & Control, 2021 - Taylor & Francis
We theorize a notion of a digital supply chain (SC) twin–a computerized model that
represents network states for any given moment in real time. We explore the conditions …

Viable supply chain model: integrating agility, resilience and sustainability perspectives—lessons from and thinking beyond the COVID-19 pandemic

D Ivanov - Annals of operations research, 2022 - Springer
Viability is the ability of a supply chain (SC) to maintain itself and survive in a changing
environment through a redesign of structures and replanning of performance with long-term …

Predicting the impacts of epidemic outbreaks on global supply chains: A simulation-based analysis on the coronavirus outbreak (COVID-19/SARS-CoV-2) case

D Ivanov - Transportation Research Part E: Logistics and …, 2020 - Elsevier
Epidemic outbreaks are a special case of supply chain (SC) risks which is distinctively
characterized by a long-term disruption existence, disruption propagations (ie, the ripple …