A Variable Interval Rescheduling Strategy for Dynamic Flexible Job Shop Scheduling Problem by Improved Genetic Algorithm
In real-world manufacturing systems, production scheduling systems are often implemented under random or dynamic events like machine failure, unexpected processing times, stochastic arrival of the urgent orders, cancellation of the orders, and so on. These dynamic events will lead the initial schedu...
Saved in:
Main Authors: | Lei Wang, Chaomin Luo, Jingcao Cai |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2017-01-01
|
Series: | Journal of Advanced Transportation |
Online Access: | http://dx.doi.org/10.1155/2017/1527858 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
A vibration damping optimization algorithm to solve flexible job shop scheduling problems with reverse flows
by: Esmaeil Mehdizadeh, et al.
Published: (2023-12-01) -
Preference learning based deep reinforcement learning for flexible job shop scheduling problem
by: Xinning Liu, et al.
Published: (2025-01-01) -
A Two-Level Metaheuristic Algorithm for the Job-Shop Scheduling Problem
by: Pisut Pongchairerks
Published: (2019-01-01) -
Dynamic Data Scheduling of a Flexible Industrial Job Shop Based on Digital Twin Technology
by: Juan Li, et al.
Published: (2022-01-01) -
Forward VNS, Reverse VNS, and Multi-VNS Algorithms for Job-Shop Scheduling Problem
by: Pisut Pongchairerks
Published: (2016-01-01)