Decision-making in the context of Industry 4.0: Evidence from the textile and clothing industry
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 …
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
The Fourth Industrial Revolution means the digital transformation of production systems.
Cyber‐physical systems allow for the horizontal and vertical integration of these production …
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 …
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 …
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
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 …
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 …
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 …
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 …
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
Production scheduling is the central link between enterprise production and operation
management and is also the key to realising efficient, high-quality and sustainable …
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 …
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 …
assumptions is inherently challenging due to the increasing complexity and uncertainty …