Results 51 to 60 of about 199,857 (394)

Optimal Design of Flexible Job Shop Scheduling Under Resource Preemption Based on Deep Reinforcement Learning

Complex System Modeling and Simulation, 2022
With the popularization of multi-variety and small-batch production patterns, the flexible job shop scheduling problem (FJSSP) has been widely studied. The sharing of processing resources by multiple machines frequently occurs due to space constraints in
Zhen Chen, Lin Zhang, Xiaohan Wang, Pengfei Gu   +3 more
doaj   +1 more source

Review on Multi‑objective Dynamic Scheduling Methods for Flexible Job Shops and Application in Aviation Manufacturing

Transactions of Nanjing University of Aeronautics and Astronautics
Intelligent production is an important development direction in intelligent manufacturing， with intelligent factories playing a crucial role in promoting intelligent production.
MA Yajie, JIANG Bin, GUAN Li, CHEN Lijun, HUANG Binda, CHEN Zhi   +5 more
doaj   +1 more source

Flexible job shop scheduling using genetic algorithm and heuristic rules

Journal of Advanced Mechanical Design, Systems, and Manufacturing, 2016
Job shop scheduling with the availability of more than one machine to perform an operation, also known as the flexible job shop scheduling problem, is computationally NP-hard.
Parinya KAWEEGITBUNDIT, Toru EGUCHI
doaj   +1 more source

A MILP model for an extended version of the Flexible Job Shop Problem [PDF]

, 2014
A MILP model for an extended version of the Flexible Job Shop Scheduling problem is proposed. The extension allows the precedences between operations of a job to be given by an arbitrary directed acyclic graph rather than a linear order.
Birgin, Ernesto G., de Melo, Everton L., Feofiloff, Paulo, Fernandes, Cristina G., Oshiro, Marcio T. I., Ronconi, Débora P.   +5 more
core   +2 more sources

Actor-Critic Deep Reinforcement Learning for Solving Job Shop Scheduling Problems

IEEE Access, 2020
In the past decades, many optimization methods have been devised and applied to job shop scheduling problem (JSSP) to find the optimal solution.
Chien-Liang Liu, Chuan-Chin Chang, Chun-Jan Tseng   +2 more
semanticscholar   +1 more source

Real-Time Hybrid Flow Shop Scheduling Approach in Smart Manufacturing Environment

Complex System Modeling and Simulation, 2021
Smart manufacturing in the “Industry 4.0” strategy promotes the deep integration of manufacturing and information technologies, which makes the manufacturing system a ubiquitous environment.
Xiuli Wu, Zheng Cao, Shaomin Wu
doaj   +1 more source

An investigation into minimising total energy consumption and total completion time in a flexible job shop for recycling carbon fiber reinforced polymer [PDF]

, 2015
The increased use of carbon fiber reinforced polymer (CFRP) in industry coupled with European Union restrictions on landfill disposal has resulted in a need to develop relevant recycling technologies.
Liu, Ying, Tiwari, Ashutosh
core   +1 more source

Dynamic scheduling in a multi-product manufacturing system [PDF]

, 2005
To remain competitive in global marketplace, manufacturing companies need to improve their operational practices. One of the methods to increase competitiveness in manufacturing is by implementing proper scheduling system. This is important to enable job
Hassan, Adnan, Mohd. Shaharoun, Awaluddin, Oktaviandri, Muchamad   +2 more
core  

An improved adaptive neural network for job-shop scheduling [PDF]

This article is posted here with permission of IEEE - Copyright @ 2005 IEEEJob-shop scheduling is one of the most difficult production scheduling problems in industry.
Yang, S
core   +3 more sources

Research on Adaptive Job Shop Scheduling Problems Based on Dueling Double DQN

IEEE Access, 2020
Traditional approaches for job shop scheduling problems are ill-suited to deal with complex and changeable production environments due to their limited real-time responsiveness.
B. Han, Jianjun Yang
semanticscholar   +1 more source