Results 1 to 10 of about 906 (142)

Minimizing the makespan and carbon emissions in the green flexible job shop scheduling problem with learning effects [PDF]

Scientific Reports, 2023
One of the most difficult challenges for modern manufacturing is reducing carbon emissions. This paper focuses on the green scheduling problem in a flexible job shop system, taking into account energy consumption and worker learning effects.
Zhi Li, Yingjian Chen
doaj   +2 more sources

A multi objective collaborative reinforcement learning algorithm for flexible job shop scheduling [PDF]

Scientific Reports
To improve the scheduling efficiency of flexible job shops, this paper proposes a multi-objective collaborative intelligent agent reinforcement learning algorithm based on weight distribution.
Jian Li, Shifa Li, Pengbo He, Huankun Li
doaj   +2 more sources

Solving Flexible Job-Shop Scheduling Problems Based on Quantum Computing. [PDF]

Entropy (Basel)
Flexible job-shop scheduling problems (FJSPs) represent one of the most complex combinatorial optimization challenges. Modern production systems and control processes demand rapid decision-making in scheduling. To address this challenge, we propose a quantum computing approach for solving FJSPs. We propose a quadratic unconstrained binary optimization (
Fu K, Liu J, Chen M, Zhang H.
europepmc   +4 more sources

A novel method-based reinforcement learning with deep temporal difference network for flexible double shop scheduling problem [PDF]

Scientific Reports
This paper studies the flexible double shop scheduling problem (FDSSP) that considers simultaneously job shop and assembly shop. It brings about the problem of scheduling association of the related tasks.
Xiao Wang, Peisi Zhong, Mei Liu, Chao Zhang, Shihao Yang   +4 more
doaj   +2 more sources

Dynamic Intelligent Scheduling in Low-Carbon Heterogeneous Distributed Flexible Job Shops with Job Insertions and Transfers [PDF]

Sensors
With the rapid development of economic globalization and green manufacturing, traditional flexible job shop scheduling has evolved into the low-carbon heterogeneous distributed flexible job shop scheduling problem (LHDFJSP).
Yi Chen, Xiaojuan Liao, Guangzhu Chen, Yingjie Hou   +3 more
doaj   +2 more sources

Research on Priority-based Flexible Job Shop Scheduling Algorithm [PDF]

E3S Web of Conferences, 2021
Research on the Flexible Job Shop Scheduling (FJSP) problem in the manufacturing process of aircraft engines has been carried out. It is found that there are real requirements such as order mandatory nodes and equipment selection in the current job ...
Liu Manxing, Xia Xiufeng
doaj   +1 more source

Applying flexible job shop scheduling in patients management to optimize processing time in hospitals. [PDF]

International Journal of Research in Industrial Engineering, 2021
The continuous growth of the population causes an increased demand for our healthcare services. Insufficient hospitals face challenges to serve the patient within a preferable duration.
N. Sarfaraj, Md. L. Lingkon, N. Zahan
doaj   +1 more source

Flexible Job Shop Scheduling Problems with Arbitrary Precedence Graphs [PDF]

Production and Operations Management, 2021
A common assumption in the shop scheduling literature is that the processing order of the operations of each job is sequential; however, in practice, there can be multiple connections and finish‐to‐start dependencies among the operations of each job. This paper studies flexible job shop scheduling problems with arbitrary precedence graphs.
Kasapidis, G. A., Paraskevopoulos, D. C., Repoussis, P. P., Tarantilis, C. D.   +3 more
openaire   +2 more sources

Adaptive Population NSGA-III with Dual Control Strategy for Flexible Job Shop Scheduling Problem with the Consideration of Energy Consumption and Weight

Machines, 2021
The flexible job shop scheduling problem has always been the focus of research in the manufacturing field. However, most of the previous studies focused more on efficiency and ignored energy consumption.
Mingliang Wu, Dongsheng Yang, Bowen Zhou, Zhile Yang, Tianyi Liu, Ligang Li, Zhongfeng Wang, Kunyuan Hu   +7 more
doaj   +1 more source

Whale optimization algorithm with opposition-based learning strategy for solving flexible job shop scheduling problem [PDF]

ITM Web of Conferences, 2022
Flexible job shop scheduling problem is the allocation of available shared resources and the sequencing of processing tasks within a certain period of time to meet certain or certain specific production indicators.
Wu Mingliang, Yang Dongsheng, Liu Tianyi
doaj   +1 more source