Results 201 to 210 of about 87,297 (252)

Large-Scale Dynamic Scheduling for Flexible Job-Shop With Random Arrivals of New Jobs by Hierarchical Reinforcement Learning

IEEE Transactions on Industrial Informatics
As the intelligent manufacturing paradigm evolves, it is urgent to design a near real-time decision-making framework for handling the uncertainty and complexity of production line control.
Kun Lei, Peng Guo, Yi Wang, Jian Zhang, Xiangyin Meng, Linmao Qian   +5 more
semanticscholar   +1 more source

A Taxonomy for the Flexible Job Shop Scheduling Problem

2015
This chapter aims at developing a taxonomic framework to classify the studies on the flexible job shop scheduling problem (FJSP). The FJSP is a generalization of the classical job shop scheduling problem (JSP), which is one of the oldest NP-hard problems. Although various solution methodologies have been developed to obtain good solutions in reasonable
Cinar, Didem, Topcu, Y. Ilker, Oliveira, José A.   +2 more
openaire   +2 more sources

Flexible job shop scheduling with tabu search algorithms

The International Journal of Advanced Manufacturing Technology, 2006
This paper presents a tabu search algorithm that solves the flexible job shop scheduling problem to minimize the makespan time. As a context for solving sequencing and scheduling problems, the flexible job shop model is highly complicated. Alternative operation sequences and sequence-dependent setups are two important factors that frequently appear in ...
Mohammad Saidi-Mehrabad, Parviz Fattahi
openaire   +1 more source

Learning-enabled Flexible Job-shop Scheduling for Scalable Smart Manufacturing

Journal of manufacturing systems
In smart manufacturing systems (SMSs), flexible job-shop scheduling with transportation constraints (FJSPT) is essential to optimize solutions for maximizing productivity, considering production flexibility based on automated guided vehicles (AGVs ...
Sihoon Moon, Sanghoon Lee, Kyung-Joon Park   +2 more
semanticscholar   +1 more source

Transfer-robot task scheduling in flexible job shop

Journal of Intelligent Manufacturing, 2020
This paper studies a simultaneous scheduling of production and material transfer in a flexible job shop environment. The simultaneous scheduling approach has been recently adopted by a robotic mobile fulfillment system, wherein transbots pick up jobs and deliver to pick-stations for processing, which requires a simultaneous scheduling of jobs ...
openaire   +1 more source

Flexible job-shop scheduling problem under resource constraints

International Journal of Production Research, 2006
A flexible job-shop-scheduling problem is an extension of classical job-shop problems that permit an operation of each job to be processed by more than one machine. The research methodology is to assign operations to machines (assignment) and determine the processing order of jobs on machines (sequencing) such that the system objectives can be ...
Wong, TC, Chan, FTS, Chan, LY
openaire   +3 more sources

Scheduling Optimization of Flexible Job Shop Problem

2023 IEEE 7th Information Technology and Mechatronics Engineering Conference (ITOEC), 2023
Gu Chan, Zou Di
openaire   +1 more source

Dynamic flexible job shop scheduling based on deep reinforcement learning

Proceedings of the Institution of mechanical engineers. Part B, journal of engineering manufacture
The unpredictable dynamic events in smart factory seriously influence the scheduling schemes and production efficiency. To minimize the total tardiness of orders, this paper proposes a Deep Reinforcement Learning (DRL) method to solve the Dynamic ...
Dan Yang, Xiantao Shu, Zhen Yu, Guangtao Lu, Songlin Ji, Jiabing Wang, Kongde He   +6 more
semanticscholar   +1 more source

MULTI OBJECTIVE FLEXIBLE JOB SHOP SCHEDULING PROBLEMS

2013
Flexible job shop scheduling problem, is an extension of the classical job shop scheduling problem. In Flexible job shop scheduling problem, there are more than one machine with the same features for the same purpose. The problem can be defined as appointing the jobs to the machines (assignment) and ordering the jobs at each machine (sequencing) to ...
KAYA, Serkan, FIĞLALI, Nilgün
openaire   +2 more sources

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