ACM Home Page
Please provide us with feedback. Feedback
An expert system for maintenance of riveting machines, vol. 1.
Full text PdfPdf (2.06 MB)
Source International conference on Industrial and engineering applications of artificial intelligence and expert systems archive
Proceedings of the 2nd international conference on Industrial and engineering applications of artificial intelligence and expert systems - Volume 1 table of contents
Tullahoma, Tennessee, United States
Pages: 64 - 72  
Year of Publication: 1989
ISBN:0-89791-320-5
Authors
Patrick W. Daley  Boeing Military Airplanes, Wichita, KS
Osama K. Eyada  Wichita State Univ., Wichita, KS
Sponsor
SIGART: ACM Special Interest Group on Artificial Intelligence
Publisher
ACM  New York, NY, USA
Bibliometrics
Downloads (6 Weeks): 0,   Downloads (12 Months): 23,   Citation Count: 0
Additional Information:

abstract   references   index terms   review   collaborative colleagues  

Tools and Actions: Review this Article  
DOI Bookmark: Use this link to bookmark this Article: http://doi.acm.org/10.1145/66617.66626
What is a DOI?

ABSTRACT

Rapid diagnosis and repair of riveting machine malfunctions are essential to meet critical production schedules at Boeing Military Airplanes. Repairs are often delayed because the maintenance technician assigned may lack the knowledge and experience required to quickly isolate and correct the problem. This paper presents an Expert Maintenance System for Riveters (EMSR) developed to assist inexperienced technicians with the diagnosis and repair of nine Boeing modified Gemcor 400/200A CNC riveters. EMSR has captured the expertise of Boeing's most skilled riveter maintenance technicians in an expert system created using Texas Instrument's Personal Consultant™ Plus development tool.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
1
Bajpai, Atul. "An Expert System Model for General-Purpose Diagnostics of Manufacturing EquipmentY Manufacturing Review Oct. 1988: 180-187.
 
2
Blumberg, Donald F. "Artificial Intelligence: New Computer Tool for Maintenance Operations. Maintenance Technolocrv Dec. 1988: 36-40.
 
3
Bose, Partha Protim, ed. "Expert Systems for Maintenance." American Machinist & Automated Manufacturin~ Jun. 1988: 52-54.
 
4
 
5
Cook, Rick. "TI Sees Future in Artificial Intelligence." Mana~ng Automation Dec. 1988: 52-55.
 
6
Deming, W. Edwards. Quality. Productivity~ and Competitive Position. Cambridge: Massachusettes Institute of Technology UP, 1982.
 
7
Emrich, Mary, ed. "An AI Odyssey." Manufacturine Systems Oct. 1987: 40-46.
 
8
"Ford Wants More Maintenance AI." Advanced Manufacturing Technolo~ 12 Jan. 1987: 7-8.
 
9
 
10
Hartman, Edward H. "Maintenance Productivity: Why it is so Low and How to Improve it." National Productivity Review Summer 1986: 224-232.
 
11
Smith, Donald L. a ufacturing Support Through PC AI" ManufacturingSystems Oct. 1987: 60-64.
 
12
Tereseko, John. "AI Moves into Industrial Control Arena." Industry Week 25 Nov. 1985: 69-78.
 
13
Teschler, Leland, ed. "What You Need to Know About Expert Systems." Machine Design 21 May 1987: 85-91.
 
14
Texas Instruments Data Systems Group. Artificial Intelligence Letter Apr. 1986.
 
15
Texas Instruments Incorporated. Personal Consultant Plus Reference Guide. Austin: Texas Instruments Publishing Center, 1988.
 
16
Valliere, David, and Jei-Min Lee. "Artificial Intelligence in Manufacturing." Automation May 1988: 40-44.


REVIEW

"Giuseppina Carla Gini : Reviewer"

Both scheduled and reactive maintenance are becoming crucial in CIM. This paper presents the Expert Maintenance System for Riveters, an AI-based system aimed at reducing the downtime of riveting machines at Boeing Military Airplane  more...

Collaborative Colleagues:
Patrick W. Daley: colleagues
Osama K. Eyada: colleagues