Results 331 to 340 of about 1,874,071 (376)

Knowledge-Based Reinforcement Learning and Estimation of Distribution Algorithm for Flexible Job Shop Scheduling Problem

IEEE Transactions on Emerging Topics in Computational Intelligence, 2023
Yu Du, Jun-qing Li, Xiaolong Chen, Pei-yong Duan, Q. Pan   +4 more
semanticscholar   +1 more source

Review on flexible job shop scheduling

IET Collaborative Intelligent Manufacturing, 2019
Flexible job shop scheduling problem (FJSP) is an NP-hard combinatorial optimisation problem, which has significant applications in the real world. Due to its complexity and significance, lots of attentions have been paid to tackle this problem.
J. Xie, Liang Gao, Kunkun Peng, Xinyu Li, Haoran Li   +4 more
semanticscholar   +1 more source

Simulation of a Simplified Job Shop

Management Science, 1960
This is a report of the results of some digital computer simulation studies of a simplified model of a job shop production process. Such factors as the average effectiveness of schedules under the impact of random variations in processing times and the effect of changing operating policies are considered.
C. T. Baker, B. P. Dzielinski
openaire   +2 more sources

The flexible job shop scheduling problem: A review

European Journal of Operational Research, 2023
S. Dauzére-Pérés, J. Ding, Liji Shen, Karim Tamssaouet   +3 more
semanticscholar   +1 more source

Dynamic scheduling for flexible job shop using a deep reinforcement learning approach

Computers & industrial engineering, 2023
Yong Gui, D. Tang, Haihua Zhu, Yi Zhang, Zequn Zhang   +4 more
semanticscholar   +1 more source

Digital-Twin-Based Job Shop Scheduling Toward Smart Manufacturing

IEEE Transactions on Industrial Informatics, 2019
Job shop scheduling always plays an important role in the manufacturing process and is one of the decisive factors influencing manufacturing efficiency.
Yilin Fang, Chao Peng, P. Lou, Zude Zhou, Jianmin Hu, Junwei Yan   +5 more
semanticscholar   +1 more source

Job Shop Scheduling [PDF]

, 1999
Within the great variety of production scheduling problems that exist, the job shop scheduling problem (JSP) is one that has generated the largest number of studies. It has also earned a reputation for being notoriously difficult to solve. Nevertheless, the JSP illustrates at least some of the demands imposed by a wide array of real world scheduling ...
openaire   +1 more source

A Review on Intelligent Scheduling and Optimization for Flexible Job Shop

International Journal of Control, Automation and Systems, 2023
Bin Jiang, Yajie Ma, Lijun Chen, Binda Huang, Yuying Huang, Li Guan   +5 more
semanticscholar   +1 more source

Practical job shop scheduling

Annals of Operations Research, 1998
The Shifting Bottleneck procedure is an intuitive and reasonably good approximation algorithm for the notoriously difficult classical job shop scheduling problem. The principle of decomposing a classical job shop problem into a series of single-machine problems can also easily be applied to job shop problems with practical features, such as ...
openaire   +5 more sources

A Hybrid Cooperative Coevolution Algorithm for Fuzzy Flexible Job Shop Scheduling

IEEE transactions on fuzzy systems, 2019
Flexible scheduling is one of the most significant core techniques for intelligent manufacturing systems. Realization of an optimized schedule through flexible resources assignment is critical to the application and popularization of flexible scheduling,
Lu Sun, Lin Lin, M. Gen, Haojie Li
semanticscholar   +1 more source