MILP Modeling and Optimization of Multi-Objective Three-Stage Flexible Job Shop Scheduling Problem With Assembly and AGV Transportation
In the real manufacturing environment, the machining stage of the jobs and the assembly stage of the products are often completed in different workshops. In addition, automatic guided vehicle (AGV) plays an indispensable role in the transportation of jobs from machining workshop to assembly workshop...
Saved in:
Main Authors: | Shiming Yang, Leilei Meng, Saif Ullah, Biao Zhang, Hongyan Sang, Peng Duan |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2025-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/10856114/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
A novel artificial intelligence search algorithm and mathematical model for the hybrid flow shop scheduling problem
by: Filip Vidojević, et al.
Published: (2025-02-01) -
Preference learning based deep reinforcement learning for flexible job shop scheduling problem
by: Xinning Liu, et al.
Published: (2025-01-01) -
A vibration damping optimization algorithm to solve flexible job shop scheduling problems with reverse flows
by: Esmaeil Mehdizadeh, et al.
Published: (2023-12-01) -
Improving the job shop scheduling algorithm to minimize total penalty costs considering maintenance activity
by: Puryani Puryani, et al.
Published: (2024-12-01) -
Knowledge Graph-Enhanced Digital Twin Framework for Optimized Job Shop Scheduling in Smart Manufacturing
by: Nehal Tarek, et al.
Published: (2025-01-01)