Results 231 to 240 of about 22,784 (309)
Some of the next articles are maybe not open access.
Review for Flexible Job Shop Scheduling
2020Flexible Job shop Scheduling Problem (FJSP) is an NP-hard combinatorial optimization problem, which has significant applications in the real world. Due to the complexity and significance, lots of attention have been attracted to tackle this problem. In this paper, the existing solution methods for the FJSP in the recent literature are classified into ...
Xinyu Li, Liang Gao
openaire +1 more source
Computers & industrial engineering, 2022
With increasing environmental awareness and energy requirement, sustainable manufacturing has attracted growing attention. Meanwhile, there is a high level of uncertainty in practical processing procedure, particularly in flexible manufacturing systems ...
Rui Li, Wenyin Gong, Chao Lu
semanticscholar +1 more source
With increasing environmental awareness and energy requirement, sustainable manufacturing has attracted growing attention. Meanwhile, there is a high level of uncertainty in practical processing procedure, particularly in flexible manufacturing systems ...
Rui Li, Wenyin Gong, Chao Lu
semanticscholar +1 more source
Hybrid frameworks for flexible job shop scheduling
The International Journal of Advanced Manufacturing Technology, 2020Effective scheduling is essential for manufacturing firms to survive in today’s fiercely competitive marketplace. Improvisation of schedule by simultaneous optimization of the performance measures is imperative for the manufacturing firms to stay ahead of competition and is one of the key responsibilities of shop floor managers.
Puja Bharti, Sushma Jain
openaire +1 more source
IEEE Transactions on Automation Science and Engineering
Automated Guided Vehicles (AGVs) have found widespread application in discrete manufacturing systems. In flexible job-shop environments, the integrated scheduling of machines and AGVs is a significant research direction to improve the productivity ...
Youjie Yao +6 more
semanticscholar +1 more source
Automated Guided Vehicles (AGVs) have found widespread application in discrete manufacturing systems. In flexible job-shop environments, the integrated scheduling of machines and AGVs is a significant research direction to improve the productivity ...
Youjie Yao +6 more
semanticscholar +1 more source
Researches on Flexible Job-Shop Scheduling Problem
2009 Fifth International Conference on Natural Computation, 2009Evolutionary algorithms (EAs) prove to be powerful in solving combinatorial optimization problems. A symbiotic evolutionary algorithm is applied to deal with complex job-shop scheduling problem (JSP). An efficient crossover, Merge and Split Recombination crossover (MSX) which always produces feasible offspring and enhances population diversity and ...
Zhaofeng Su, Hongze Qiu
openaire +1 more source
IEEE Transactions on Evolutionary Computation
Driven by the evolution of smart and sustainable manufacturing paradigms under Industry 5.0, which emphasize adaptability, connectivity, and data-driven decision-making, the dynamic flexible job shop scheduling problem (DFJSSP) has emerged as a critical ...
Xiaolong Chen +5 more
semanticscholar +1 more source
Driven by the evolution of smart and sustainable manufacturing paradigms under Industry 5.0, which emphasize adaptability, connectivity, and data-driven decision-making, the dynamic flexible job shop scheduling problem (DFJSSP) has emerged as a critical ...
Xiaolong Chen +5 more
semanticscholar +1 more source
IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2022
The energy-efficient flexible job shop scheduling problem (FJSP) has attracted much attention in deterministic cases; however, uncertainty is seldom incorporated into energy-efficient FJSP and the neglecting of uncertainty will greatly diminish the ...
Zixiao Pan, Deming Lei, Ling Wang
semanticscholar +1 more source
The energy-efficient flexible job shop scheduling problem (FJSP) has attracted much attention in deterministic cases; however, uncertainty is seldom incorporated into energy-efficient FJSP and the neglecting of uncertainty will greatly diminish the ...
Zixiao Pan, Deming Lei, Ling Wang
semanticscholar +1 more source
IEEE Transactions on Evolutionary Computation
The flexible job shop scheduling, as the most typical production mode in industrial manufacturing, aims to improve production efficiency. However, the proposal of energy-saving and emission-reduction policy implies that it is impossible to increase the ...
Cong Luo +3 more
semanticscholar +1 more source
The flexible job shop scheduling, as the most typical production mode in industrial manufacturing, aims to improve production efficiency. However, the proposal of energy-saving and emission-reduction policy implies that it is impossible to increase the ...
Cong Luo +3 more
semanticscholar +1 more source
IEEE Transactions on Evolutionary Computation
With increasing energy concerns and development of globalization, energy-aware scheduling and distributed scheduling have become significant topics in modern manufacturing.
Jing-jing Wang, Honggui Han, Ling Wang
semanticscholar +1 more source
With increasing energy concerns and development of globalization, energy-aware scheduling and distributed scheduling have become significant topics in modern manufacturing.
Jing-jing Wang, Honggui Han, Ling Wang
semanticscholar +1 more source
End-to-End Multitarget Flexible Job Shop Scheduling With Deep Reinforcement Learning
IEEE Internet of Things JournalModeling and solving the flexible job shop scheduling problem (FJSP) is critical for modern manufacturing. However, existing works primarily focus on the time-related makespan target, often neglecting other practical factors, such as transportation.
Rongkai Wang +4 more
semanticscholar +1 more source