[HTML][HTML] A systematic review of multi-objective hybrid flow shop scheduling

JS Neufeld, S Schulz, U Buscher - European Journal of Operational …, 2023 - Elsevier
In industry, production is often organized in the form of a hybrid flow shop, and there is great
interest in methods and algorithms for optimizing such production processes. While, thus far …

A reinforcement learning based RMOEA/D for bi-objective fuzzy flexible job shop scheduling

R Li, W Gong, C Lu - Expert Systems with Applications, 2022 - Elsevier
The flexible job shop scheduling problem (FJSP) is significant for realistic manufacturing.
However, the job processing time usually is uncertain and changeable during …

Mathematical model and knowledge-based iterated greedy algorithm for distributed assembly hybrid flow shop scheduling problem with dual-resource constraints

F Yu, C Lu, J Zhou, L Yin - Expert Systems with Applications, 2024 - Elsevier
With the development of economic globalization, distributed hybrid flow shop scheduling
problem (DHFSSP) has become prevalent in realistic manufacturing systems. Moreover, to …

Two-stage knowledge-driven evolutionary algorithm for distributed green flexible job shop scheduling with type-2 fuzzy processing time

R Li, W Gong, L Wang, C Lu, S Jiang - Swarm and Evolutionary …, 2022 - Elsevier
This study is investigated on multi-objective distributed green flexible job shop scheduling
problem with type-2 fuzzy processing time. Minimizing makespan and total energy …

A multiobjective memetic algorithm with particle swarm optimization and Q-learning-based local search for energy-efficient distributed heterogeneous hybrid flow-shop …

W Zhang, C Li, M Gen, W Yang, G Zhang - Expert Systems with Applications, 2024 - Elsevier
Most existing distributed hybrid flow-shop scheduling problems (DHFSPs) assume identical
shops and lack consideration of heterogeneous shops. This study focuses on energy …

Modelling and optimization of distributed heterogeneous hybrid flow shop lot-streaming scheduling problem

W Shao, Z Shao, D Pi - Expert Systems with Applications, 2023 - Elsevier
More enterprises are facing rapid and changing market demand and small but frequent
orders, and they extend the production capability of manufacturing systems to respond to …

Recent trends in distributed production network scheduling problem

N Bagheri Rad, J Behnamian - Artificial Intelligence Review, 2022 - Springer
The complex problems in the real world, an increase in competition among producers, the
advancements in equipment and manufacturing products, the high cost of factory equipment …

Double DQN-based coevolution for green distributed heterogeneous hybrid flowshop scheduling with multiple priorities of jobs

R Li, W Gong, L Wang, C Lu, Z Pan… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Distributed manufacturing involving heterogeneous factories presents significant challenges
to enterprises. Furthermore, the need to prioritize various jobs based on order urgency and …

An effective two-stage iterated greedy algorithm for distributed flowshop group scheduling problem with setup time

Y Wang, Y Han, Y Wang, J Li, K Gao, Y Liu - Expert Systems with …, 2023 - Elsevier
The distributed flow shop group scheduling problem (DFGSP) has wide industrial
applications. Due to the strong coupling of DFGSP, three issues should be solved, such as …

A network memetic algorithm for energy and labor-aware distributed heterogeneous hybrid flow shop scheduling problem

W Shao, Z Shao, D Pi - Swarm and Evolutionary Computation, 2022 - Elsevier
With the penetration of decentralization into factories, the production scheduling among non-
identical factories has emerged as a hot issue for industrial demand response. However …