A New Self-Balancing Assembly Line Based on Collaborative Ant Behavior

In most mass-production assembly lines, workers perform a set of tasks repetitively predefined by assembly line balancing techniques. The static task assignment often leads to low productivity when the assembly system faces disruptions or uncertainties such as machine breakdown and uneven worker cap...

Full description

Saved in:
Bibliographic Details
Published in:Applied sciences 2020-10, Vol.10 (19), p.6845
Main Author: Koo, Pyung-Hoi
Format: Article
Language:English
Subjects:
Ants
assembly cell
Assembly lines
assembly systems
Assembly-line balancing
Balancing
Behavior
bucket brigades
Collaboration
Control
Decoupling
dynamic task assignment
Efficiency
Employment
Flexible assembly systems
Flexible manufacturing systems
Food
Innovations
line balancing
Maintenance and repair
Management
Manufacturing
Methods
Productivity
self-balancing
Task analysis
Work groups
Work stations
Workers (insect caste)
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:In most mass-production assembly lines, workers perform a set of tasks repetitively predefined by assembly line balancing techniques. The static task assignment often leads to low productivity when the assembly system faces disruptions or uncertainties such as machine breakdown and uneven worker capabilities. The idea of bucket brigades (BB) has been introduced to address the static assignment problems where cooperative behavior of ants is applied to flow line control. This paper examines possible efficiency losses associated with the existing BB-based assembly cell and presents an improved version for assembly cells under uncertain environments. The new system attempts to enhance productivity by assigning assembly tasks to workers dynamically and possibly adding buffers for decoupling consecutive workers. The proposed assembly system is evaluated through simulation experiments under various manufacturing environments. The experimental results show that the new system provides higher productivity than the naïve BB-based assembly cell as well as traditional assembly cells, especially for uncertain assembly environments.
ISSN:2076-3417
2076-3417
DOI:10.3390/app10196845