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 …

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 …

Future of precision manufacturing: Integrating advanced metrology and intelligent monitoring for process optimization

AK Adeleke, EC Ani, KA Olu-lawal, OK Olajiga… - International Journal of …, 2024 - ijsra.net
Precision manufacturing is undergoing a transformative evolution fueled by the integration of
advanced metrology techniques and intelligent monitoring systems. This abstract explores …

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 …

Can artificial intelligence's limitations drive innovative work behaviour?

A Zirar - Review of Managerial Science, 2023 - Springer
Artificial intelligence (AI) is deemed to increase workers' productivity by enhancing their
creative abilities and acting as a general-purpose tool for innovation. While much is known …

Robust design and reconfiguration planning of mixed-model assembly lines under uncertain evolutions of product family

Y Mezghani, SE Hashemi-Petroodi… - … Journal of Production …, 2024 - Taylor & Francis
Assembly lines commonly run for dozens of years before being decommissioned. As product
families may evolve several times per year by following the needs of sales and marketing …