Reinforcement learning based optimal decision making towards product lifecycle sustainability

Y Liu, M Yang, Z Guo - International Journal of Computer Integrated …, 2022 - Taylor & Francis
Artificial intelligence (AI) has been widely used in robotics, automation, finance, healthcare,
etc. However, using AI for decision-making in sustainable product lifecycle operations is still …

Artificial intelligence-based life cycle engineering in industrial production: a systematic literature review

H Rahman, RS D'Cruze, MU Ahmed, R Sohlberg… - IEEE …, 2022 - ieeexplore.ieee.org
For the last few years, cases of applying artificial intelligence (AI) to engineering activities
towards sustainability have been reported. Life Cycle Engineering (LCE) provides a …

Predictive maintenance planning for industry 4.0 using machine learning for sustainable manufacturing

MH Abidi, MK Mohammed, H Alkhalefah - Sustainability, 2022 - mdpi.com
With the advent of the fourth industrial revolution, the application of artificial intelligence in
the manufacturing domain is becoming prevalent. Maintenance is one of the important …

Artificial intelligence system for enhancing product's performance during its life cycle in a railcar industry

I Daniyan, R Muvunzi, K Mpofu - Procedia CIRP, 2021 - Elsevier
The management of the activities which characterize the lifecycle of a product could be
challenging, hence, a well-structured Product Lifecycle Management System (PLMS) with …

Proactive maintenance model using reinforcement learning algorithm in rubber industry

C Senthil, R Sudhakara Pandian - Processes, 2022 - mdpi.com
This paper presents an investigation into the enhancement of availability of a curing
machine deployed in the rubber industry, located in Tamilnadu in India. Machine …

[PDF][PDF] Predictive Maintenance Planning for Industry 4.0 Using Machine Learning for Sustainable Manufacturing. Sustainability 2022, 14, 3387

MH Abidi, MK Mohammed, H Alkhalefah - 2022 - academia.edu
With the advent of the fourth industrial revolution, the application of artificial intelligence in
the manufacturing domain is becoming prevalent. Maintenance is one of the important …

Artificial intelligence in product lifecycle management

L Wang, Z Liu, A Liu, F Tao - The International Journal of Advanced …, 2021 - Springer
Recently, artificial intelligence (AI) technology receives extensive attention in the
manufacturing field. As the core technology, it generates considerable interest among smart …

Reinforcement Learning-Based Optimization for Sustainable and Lean Production within the Context of Industry 4.0

PD Paraschos, GK Koulinas, DE Koulouriotis - Algorithms, 2024 - mdpi.com
The manufacturing industry often faces challenges related to customer satisfaction, system
degradation, product sustainability, inventory, and operation management. If not addressed …

Smart recovery decision-making of used industrial equipment for sustainable manufacturing: belt lifter case study

K Meng, X Qian, P Lou, J Zhang - Journal of Intelligent Manufacturing, 2020 - Springer
Abstract End-of-Life (EOL) product recovery is proved to be an attractive way to achieve
sustainable manufacturing while extending the producer's responsibility to closed-loop …

A holistic decision support tool for remanufacturing: end-of-life (EOL) strategy planning

SS Yang, N Nasr, SK Ong, AYC Nee - Advances in Manufacturing, 2016 - Springer
Remanufacturing is a key enabler for sustainable production due to its effectiveness in
closing the loop on material flows, extending product life cycle and reducing production …