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 …

Geopolitical disruptions in global supply chains: a state-of-the-art literature review

L Bednarski, S Roscoe, C Blome… - Production Planning & …, 2024 - Taylor & Francis
This paper systematically reviews the literature on the impact of geopolitical disruptions on
supply chains to identify primary discourses, emergent themes and key gaps to set a future …

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 …

Supply chain disruption during the COVID-19 pandemic: Recognizing potential disruption management strategies

J Moosavi, AM Fathollahi-Fard… - International Journal of …, 2022 - Elsevier
The COVID-19 pandemic has made a significant impact on various supply chains (SCs). All
around the world, the COVID-19 pandemic affects different dimensions of SCs, including but …

Industry 4.0 enables supply chain resilience and supply chain performance

G Qader, M Junaid, Q Abbas, MS Mubarik - Technological Forecasting and …, 2022 - Elsevier
Drawing on information processing theory and resource-based view (RBV), this study
examines the impact of industry 4.0 on supply chain performance (SCP). The study also …

Two views of supply chain resilience

D Ivanov - International Journal of Production Research, 2024 - Taylor & Francis
The purpose of this paper is to explore adaptation-based and stability-based views of supply
chain resilience to analyse what insights these different perspectives, individually and …

Artificial intelligence and big data analytics for supply chain resilience: a systematic literature review

ED Zamani, C Smyth, S Gupta, D Dennehy - Annals of Operations …, 2023 - Springer
Abstract Artificial Intelligence (AI) and Big Data Analytics (BDA) have the potential to
significantly improve resilience of supply chains and to facilitate more effective management …

Supply chain management during and post-COVID-19 pandemic: Mitigation strategies and practical lessons learned

A Raj, AA Mukherjee, ABL de Sousa Jabbour… - Journal of business …, 2022 - Elsevier
The COVID-19 pandemic has affected global supply chains at an unprecedented speed and
scale. This paper investigates the supply chain challenges that manufacturing organizations …

Green closed-loop supply chain network design during the coronavirus (COVID-19) pandemic: a case study in the Iranian automotive industry

S Abbasi, M Daneshmand-Mehr… - Environmental Modeling & …, 2023 - Springer
This paper presents a new mathematical model of the green closed-loop supply chain
network (GCLSCN) during the COVID-19 pandemic. The suggested model can explain the …

Intelligent digital twin (iDT) for supply chain stress-testing, resilience, and viability

D Ivanov - International Journal of Production Economics, 2023 - Elsevier
A large variety of models have been developed in the last two decades aiming at supply
chain (SC) stress-testing and resilience. New digital and artificial intelligence (AI) …