Exploring the role of artificial intelligence in building production resilience: learnings from the COVID-19 pandemic

V Dohale, M Akarte, A Gunasekaran… - International Journal of …, 2024 - Taylor & Francis
The ever-happening disruptive events interrupt the operationalisation of manufacturing
organisations resulting in stalling the production flow and depleting societies with products …

Hybridizations in line balancing problems: A comprehensive review on new trends and formulations

O Battaïa, A Dolgui - International Journal of Production Economics, 2022 - Elsevier
In the research on production economics, line balancing is an intensively studied
combinatorial optimisation problem. In our previous comprehensive survey on line …

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 …

The role of digital twins in lean supply chain management: review and research directions

D Guo, S Mantravadi - International Journal of Production …, 2024 - Taylor & Francis
Digital twins in Industry 4.0 enhance lean supply chains by optimizing efficiency, reducing
costs, and ensuring responsiveness to consumers. However, their relationship with lean …

Review of manufacturing system design in the interplay of Industry 4.0 and Industry 5.0 (Part I): Design thinking and modeling methods

J Leng, J Guo, J **e, X Zhou, A Liu, X Gu… - Journal of Manufacturing …, 2024 - Elsevier
The concurrent societal goals and environmental challenges force industries to become
more human-centric, sustainable, and resilient, which is envisioned as a value-oriented …

Mixed-integer programming model and hybrid local search genetic algorithm for human–robot collaborative disassembly line balancing problem

T Wu, Z Zhang, Y Zeng, Y Zhang - International Journal of …, 2024 - Taylor & Francis
Human–robot collaborative technology maximises the advantages of the capabilities of
humans and robots, and provides diverse operating scenarios for the remanufacturing …

Makespan estimation in a flexible job-shop scheduling environment using machine learning

D Tremblet, S Thevenin, A Dolgui - International Journal of …, 2024 - Taylor & Francis
ABSTRACT A production plan gives the quantity of products to release on the shop floor in
each period, where a period may represent a week or a month. The plan is the basis for …

Artificial intelligence and prescriptive analytics for supply chain resilience: a systematic literature review and research agenda

C Smyth, D Dennehy, S Fosso Wamba… - … Journal of Production …, 2024 - Taylor & Francis
Artificial Intelligence (AI) and prescriptive analytics are increasingly being reported as
having transformative powers to enable resilient supply chains (SC). Despite such a benefit …

Trustworthy AI for human-centric smart manufacturing: A survey

D Li, S Liu, B Wang, C Yu, P Zheng, W Li - Journal of Manufacturing …, 2025 - Elsevier
Human-centric smart manufacturing (HCSM) envisions a symbiotic relationship between
humans and machines, leveraging human capability and Artificial Intelligence (AI)'s …

Making electric vehicle batteries safer through better inspection using artificial intelligence and cobots

A Sharma - International Journal of Production Research, 2024 - Taylor & Francis
High quality, safe, and reliable batteries are essential for widespread adoption of electric
vehicles. Current Li-ion battery pack manufacturing processes rely on manual inspections to …