A survey on industrial applications of fuzzy control
RE Precup, H Hellendoorn - Computers in industry, 2011 - Elsevier
Fuzzy control has long been applied to industry with several important theoretical results
and successful results. Originally introduced as model-free control design approach, model …
and successful results. Originally introduced as model-free control design approach, model …
Digital twin enhanced dynamic job-shop scheduling
For dynamic scheduling, which is daily decision-making in a job-shop, machine availability
prediction, disturbance detection and performance evaluation are always common …
prediction, disturbance detection and performance evaluation are always common …
[HTML][HTML] Emergency material scheduling optimization model and algorithms: A review
In the emergency management of disruptions, efficient emergency material scheduling
(EMS) is a key factor to save people's lives and reduce loss. Based on the literature of EMS …
(EMS) is a key factor to save people's lives and reduce loss. Based on the literature of EMS …
Digital-twin-based job shop scheduling toward smart manufacturing
Y Fang, C Peng, P Lou, Z Zhou, J Hu… - IEEE transactions on …, 2019 - ieeexplore.ieee.org
Job shop scheduling always plays an important role in the manufacturing process and is
one of the decisive factors influencing manufacturing efficiency. In the actual process of …
one of the decisive factors influencing manufacturing efficiency. In the actual process of …
A reinforcement learning driven cooperative meta-heuristic algorithm for energy-efficient distributed no-wait flow-shop scheduling with sequence-dependent setup …
Green manufacturing has attracted increasing attention under the background of carbon
peaking and carbon neutrality. Distributed production has widely existed in various …
peaking and carbon neutrality. Distributed production has widely existed in various …
Grey wolf optimizer algorithm-based tuning of fuzzy control systems with reduced parametric sensitivity
This paper proposes an innovative tuning approach for fuzzy control systems (CSs) with a
reduced parametric sensitivity using the Grey Wolf Optimizer (GWO) algorithm. The CSs …
reduced parametric sensitivity using the Grey Wolf Optimizer (GWO) algorithm. The CSs …
Many-objective evolutionary algorithm with reference point-based fuzzy correlation entropy for energy-efficient job shop scheduling with limited workers
Because of COVID-19, factories are facing many difficulties, such as shortage of workers
and social alienation. How to improve production performance under limited labor resources …
and social alienation. How to improve production performance under limited labor resources …
A deep reinforcement learning framework based on an attention mechanism and disjunctive graph embedding for the job-shop scheduling problem
R Chen, W Li, H Yang - IEEE Transactions on Industrial …, 2022 - ieeexplore.ieee.org
The job-shop scheduling problem (JSSP) is a classical NP-hard combinatorial optimization
problem, and the operating efficiency of manufacturing system is affected directly by the …
problem, and the operating efficiency of manufacturing system is affected directly by the …
Many-objective job-shop scheduling: A multiple populations for multiple objectives-based genetic algorithm approach
The job-shop scheduling problem (JSSP) is a challenging scheduling and optimization
problem in the industry and engineering, which relates to the work efficiency and operational …
problem in the industry and engineering, which relates to the work efficiency and operational …
A hybrid algorithm with a new neighborhood structure for job shop scheduling problems
J Xie, X Li, L Gao, L Gui - Computers & Industrial Engineering, 2022 - Elsevier
Job shop scheduling problems (JSP) arise from the scheduling of modern manufacturing
enterprises. It is one of the most famous NP-complete problem. To evaluate the performance …
enterprises. It is one of the most famous NP-complete problem. To evaluate the performance …