Scheduling in Industrial environment toward future: insights from Jean-Marie Proth

M Khakifirooz, M Fathi, A Dolgui… - International Journal of …, 2024 - Taylor & Francis
According to [Dolgui, Alexandre, and Jean Marie Proth. 2010. Supply Chain Engineering:
Useful Methods and Techniques. Vol. 539. Springer.], advancing tactical levels in production …

Real-time production scheduling in the Industry-4.0 context: Addressing uncertainties in job arrivals and machine breakdowns

M Ghaleb, H Zolfagharinia, S Taghipour - Computers & Operations …, 2020 - Elsevier
The utilization of real-time information in production scheduling decisions becomes possible
with the help of new developments in Information Technology and Industrial Informatics …

Real-time integrated production-scheduling and maintenance-planning in a flexible job shop with machine deterioration and condition-based maintenance

M Ghaleb, S Taghipour, H Zolfagharinia - Journal of Manufacturing Systems, 2021 - Elsevier
The introduction of modern technologies in manufacturing is contributing to the emergence
of smart (and data-driven) manufacturing systems, known as Industry 4.0. The benefits of …

Real-time scheduling for distributed permutation flowshops with dynamic job arrivals using deep reinforcement learning

S Yang, J Wang, Z Xu - Advanced Engineering Informatics, 2022 - Elsevier
Distributed manufacturing plays an important role for large-scale companies to reduce
production and transportation costs for globalized orders. However, how to real-timely and …

[HTML][HTML] Evolutionary game based real-time scheduling for energy-efficient distributed and flexible job shop

J Wang, Y Liu, S Ren, C Wang, W Wang - Journal of Cleaner Production, 2021 - Elsevier
With the global energy crisis and environmental issues becoming severe, more attention has
been paid to production scheduling considering energy consumption than ever before …

[HTML][HTML] Multi-Objective Production Rescheduling: A Systematic Literature Review

S Holguin Jimenez, W Trabelsi, C Sauvey - Mathematics, 2024 - mdpi.com
Production rescheduling involves re-optimizing production schedules in response to
disruptions that render the initial schedule inefficient or unfeasible. This process requires …

Intelligent scheduling and reconfiguration via deep reinforcement learning in smart manufacturing

S Yang, Z Xu - International Journal of Production Research, 2022 - Taylor & Francis
To realise the intelligent decision-making of dynamic scheduling and reconfiguration, we
studied the intelligent scheduling and reconfiguration with dynamic job arrival for a …

Q-learning based multi-objective immune algorithm for fuzzy flexible job shop scheduling problem considering dynamic disruptions

X Chen, J Li, Y Xu - Swarm and Evolutionary Computation, 2023 - Elsevier
Confronted with complex industrial environments, dynamic disruptions like new job arrival
and machine breakdown bring significant challenges to the robustness and stability of the …

Sustainable fog-assisted intelligent monitoring framework for consumer electronics in industry 5.0 applications

SS Tripathy, S Bebortta… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
The fifth era of the industry (Industry 5.0) has been marked by the reformation witnessed in
consumer electronics sector by bringing forth technology that could enhance efficiency …

Ranking dispatching rules in multi-objective dynamic flow shop scheduling: a multi-faceted perspective

A Oukil, A El-Bouri - International Journal of Production Research, 2021 - Taylor & Francis
In this paper, we present a multi-faceted approach for ranking dispatching rules (DRs) in
multi-objective dynamic flow shop scheduling systems using data envelopment analysis …