Options
An expert system for automatic design‐for‐assembly
Journal
Assembly Automation
ISSN
0144-5154
Date Issued
2009-09-25
Author(s)
David Sanders
Yong Chai Tan
Ian Rogers
Giles E. Tewkesbury
DOI
10.1108/01445150910987808
Abstract
Purpose
The purpose of this paper is to present a multi‐expert system that can provide designers with suggestions for improvement. The multi‐expert system can analyse a design and provide designers with ideas for changes to designs at an early stage in order to improve assembly later in the manufacturing process.
Design/methodology/approach
The whole system consists of four expert systems: computer‐aided design (CAD) expert, automated assembly expert, manual assembly expert and design analysis expert. The design analysis expert includes a sub‐system to collate the information from the assembly experts and to provide costs and advice.
Findings
The paper finds that the approach and the systems can reduce manufacturing costs and lead times.
Research limitations/implications
A knowledge‐based reckoning approach to design‐for‐assembly automation is used. The approach and systems can reduce manufacturing costs and lead times. The system can estimate assembly time and cost for manual or automatic assembly and select suitable assembly techniques.
Practical implications
The system can estimate assembly time and cost for manual or automatic assembly and select a suitable assembly technique.
Originality/value
The new system models assembly, product and process design using a natural approach for capturing intelligence. The new approach categorised automated assembly and manual assembly into separate individual experts. Intelligence and knowledge from each is captured and embedded within the individual expert that represented the process. This approach enabled greater flexibility and made the sub‐systems easier to modify, upgrade, extend and reuse.
The purpose of this paper is to present a multi‐expert system that can provide designers with suggestions for improvement. The multi‐expert system can analyse a design and provide designers with ideas for changes to designs at an early stage in order to improve assembly later in the manufacturing process.
Design/methodology/approach
The whole system consists of four expert systems: computer‐aided design (CAD) expert, automated assembly expert, manual assembly expert and design analysis expert. The design analysis expert includes a sub‐system to collate the information from the assembly experts and to provide costs and advice.
Findings
The paper finds that the approach and the systems can reduce manufacturing costs and lead times.
Research limitations/implications
A knowledge‐based reckoning approach to design‐for‐assembly automation is used. The approach and systems can reduce manufacturing costs and lead times. The system can estimate assembly time and cost for manual or automatic assembly and select suitable assembly techniques.
Practical implications
The system can estimate assembly time and cost for manual or automatic assembly and select a suitable assembly technique.
Originality/value
The new system models assembly, product and process design using a natural approach for capturing intelligence. The new approach categorised automated assembly and manual assembly into separate individual experts. Intelligence and knowledge from each is captured and embedded within the individual expert that represented the process. This approach enabled greater flexibility and made the sub‐systems easier to modify, upgrade, extend and reuse.
File(s)
Loading...
Name
Journal Article.png
Size
3.11 KB
Format
PNG
Checksum
(MD5):21881560e0c3c9c06b18c6e8fdc11acf
