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

open access: yesScientific 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

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

open access: yesScientific 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

Flexible job shop scheduling problem in manufacturing [PDF]

open access: yes, 2013
This paper addresses a real assembly cell: the AIP-PRIMECA cell at the Université de Valenciennes et du Hainaut-Cambrésis, in France. This system can be viewed as a Flexible Job Shop, leading to the formulation of a Flexible Job Shop Scheduling Problem (
Barbosa, José   +3 more
core   +2 more sources

Overlap Algorithms in Flexible Job-shop Scheduling [PDF]

open access: yesInternational Journal of Interactive Multimedia and Artificial Intelligence, 2014
The flexible Job-shop Scheduling Problem (fJSP) considers the execution of jobs by a set of candidate resources while satisfying time and technological constraints.
Celia Gutierrez
doaj   +4 more sources

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

open access: yesSensors
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   +3 more
doaj   +2 more sources

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

open access: yesE3S 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]

open access: yesInternational 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

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

open access: yesMachines, 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   +7 more
doaj   +1 more source

A Method for Dynamic Insertion Order Scheduling in Flexible Job Shops Based on Digital Twins

open access: yesApplied Sciences, 2022
Various production disturbances occurring in the flexible job shop production process may affect the production of the workshop, some of which may lead to the prolongation of production completion time.
Yajun Wang   +4 more
doaj   +1 more source

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

open access: yesITM 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

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