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[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 …
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
The flexible job shop scheduling problem (FJSP) is significant for realistic manufacturing.
However, the job processing time usually is uncertain and changeable during …
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 …
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
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 …
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 …
Most existing distributed hybrid flow-shop scheduling problems (DHFSPs) assume identical
shops and lack consideration of heterogeneous shops. This study focuses on energy …
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
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 …
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 …
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
Distributed manufacturing involving heterogeneous factories presents significant challenges
to enterprises. Furthermore, the need to prioritize various jobs based on order urgency and …
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
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 …
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
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 …
identical factories has emerged as a hot issue for industrial demand response. However …