Flexible job shop scheduling problem under Industry 5.0: A survey on human reintegration, environmental consideration and resilience improvement

C Destouet, H Tlahig, B Bettayeb, B Mazari - Journal of Manufacturing …, 2023 - Elsevier
Abstract The Job Shop Scheduling Problem (JSSP) has been widely studied in recent
decades. Various approaches have been proposed to support scheduling decisions …

A survey of job shop scheduling problem: The types and models

H **ong, S Shi, D Ren, J Hu - Computers & Operations Research, 2022 - Elsevier
Job shop scheduling problem (JSSP) is a thriving area of scheduling research, which has
been concerned and studied widely by scholars in engineering and academic fields. This …

Dynamic scheduling for flexible job shop with new job insertions by deep reinforcement learning

S Luo - Applied Soft Computing, 2020 - Elsevier
In modern manufacturing industry, dynamic scheduling methods are urgently needed with
the sharp increase of uncertainty and complexity in production process. To this end, this …

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 …

Multi-objective reinforcement learning framework for dynamic flexible job shop scheduling problem with uncertain events

H Wang, J Cheng, C Liu, Y Zhang, S Hu, L Chen - Applied Soft Computing, 2022 - Elsevier
The economic benefits for manufacturing companies will be influenced by how it handles
potential dynamic events and performs multi-objective real-time scheduling for existing …

Deep reinforcement learning for dynamic flexible job shop scheduling with random job arrival

J Chang, D Yu, Y Hu, W He, H Yu - Processes, 2022 - mdpi.com
The production process of a smart factory is complex and dynamic. As the core of
manufacturing management, the research into the flexible job shop scheduling problem …

Digital twin-based job shop anomaly detection and dynamic scheduling

Y Li, Z Tao, L Wang, B Du, J Guo, S Pang - Robotics and Computer …, 2023 - Elsevier
Scheduling scheme is one of the critical factors affecting the production efficiency. In the
actual production, anomalies will lead to scheduling deviation and influence scheme …

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 …

An imperialist competitive algorithm with feedback for energy-efficient flexible job shop scheduling with transportation and sequence-dependent setup times

M Li, D Lei - Engineering Applications of Artificial Intelligence, 2021 - Elsevier
Flexible job shop scheduling problems have been extensively investigated in the past
decade; however, transportation, sequence-dependent setup times (SDST) and energy …

An effective two-stage algorithm based on convolutional neural network for the bi-objective flexible job shop scheduling problem with machine breakdown

G Zhang, X Lu, X Liu, L Zhang, S Wei… - Expert Systems with …, 2022 - Elsevier
In the actual manufacturing process, the environment of the job shop is complex. There will
be many kinds of uncertainties such as random job arrivals, machine breakdowns, order …