Decision-making in the context of Industry 4.0: Evidence from the textile and clothing industry

H Nouinou, E Asadollahi-Yazdi, I Baret… - Journal of cleaner …, 2023 - Elsevier
Industry 4.0 arrives with a multitude of technological advances which impact the different
components of a product's value chain. Most existing research investigate the application of …

Industry 4.0‐Driven Development of Optimization Algorithms: A Systematic Overview

R Csalódi, Z Süle, S Jaskó, T Holczinger… - Complexity, 2021 - Wiley Online Library
The Fourth Industrial Revolution means the digital transformation of production systems.
Cyber‐physical systems allow for the horizontal and vertical integration of these production …

Sustainable distributed permutation flow-shop scheduling model based on a triple bottom line concept

AM Fathollahi-Fard, L Woodward, O Akhrif - Journal of Industrial …, 2021 - Elsevier
Based on a triple bottom line concept, sustainable development is characterized by the
simultaneous pursuit of economic, environmental and social goals. The implementation of …

A reinforcement learning approach for flexible job shop scheduling problem with crane transportation and setup times

Y Du, J Li, C Li, P Duan - IEEE Transactions on Neural …, 2022 - ieeexplore.ieee.org
Flexible job shop scheduling problem (FJSP) has attracted research interests as it can
significantly improve the energy, cost, and time efficiency of production. As one type of …

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 …

Multi-agent reinforcement learning for online scheduling in smart factories

T Zhou, D Tang, H Zhu, Z Zhang - Robotics and computer-integrated …, 2021 - Elsevier
Rapid advances in sensing and communication technologies connect isolated
manufacturing units, which generates large amounts of data. The new trend of mass …

A hybrid multi-objective evolutionary algorithm for solving an adaptive flexible job-shop rescheduling problem with real-time order acceptance and condition-based …

Y An, X Chen, K Gao, L Zhang, Y Li, Z Zhao - Expert systems with …, 2023 - Elsevier
Production scheduling and maintenance planning are two of the most important tasks in the
modern manufacturing workshop. Meanwhile, due to the dynamic order arrival and real-time …

[HTML][HTML] Edge computing-based real-time scheduling for digital twin flexible job shop with variable time window

J Wang, Y Liu, S Ren, C Wang, S Ma - Robotics and Computer-Integrated …, 2023 - Elsevier
Production scheduling is the central link between enterprise production and operation
management and is also the key to realising efficient, high-quality and sustainable …

A DQL-NSGA-III algorithm for solving the flexible job shop dynamic scheduling problem

H Tang, Y Xiao, W Zhang, D Lei, J Wang… - Expert Systems with …, 2024 - Elsevier
In recent years, the flexible job shop dynamic scheduling problem (FJDSP) has received
considerable attention; however, FJDSP with transportation resource constraint is seldom …

A data-driven simulation-optimization framework for generating priority dispatching rules in dynamic job shop scheduling with uncertainties

H Wang, T Peng, A Nassehi, R Tang - Journal of Manufacturing Systems, 2023 - Elsevier
Modeling and optimizing dynamic job shop scheduling problems (DJSSP) without ample
assumptions is inherently challenging due to the increasing complexity and uncertainty …