A Web Based Expert System for SMT Diagnostics in PCB Assembly Manufacturing

A Web Based Expert System for SMT Diagnostics in PCB Assembly Manufacturing

In today's manufacturing environment, Real-time monitoring, diagnosis, control and process optimization is needed to be competitive. Manufacturers need to capture knowledge about their processes and apply it in a way that can effectively drive real-time operational decisions. They also need to...

Full description

Saved in:
Bibliographic Details
Main Author: Kumaravel, Munisamy
Format: Thesis
Language:eng
eng
Published: 2006
Subjects:
QA76.76 Fuzzy System.
Online Access:https://etd.uum.edu.my/1844/1/Kumaravel_Munisamy_-_A_web_based_expert_system_for_SMT_diagnostics_in_PCB_assembly_manufacturing.pdf
https://etd.uum.edu.my/1844/2/Kumaravel_Munisamy_-_A_web_based_expert_system_for_SMT_diagnostics_in_PCB_assembly_manufacturing.pdf
Tags: Add Tag
No Tags, Be the first to tag this record!
id my-uum-etd.1844
record_format uketd_dc
institution Universiti Utara Malaysia
collection UUM ETD
language eng
eng
topic QA76.76 Fuzzy System.
spellingShingle QA76.76 Fuzzy System.
Kumaravel, Munisamy
A Web Based Expert System for SMT Diagnostics in PCB Assembly Manufacturing
description In today's manufacturing environment, Real-time monitoring, diagnosis, control and process optimization is needed to be competitive. Manufacturers need to capture knowledge about their processes and apply it in a way that can effectively drive real-time operational decisions. They also need to apply knowledge that detects and diagnoses process problems early and then helps operators recover quickly so that production can be kept going. This study involves the development of a prototype web based expert system for aiding manufacturing floor operators in solving their daily routine problems. The main aspect of the program is to help operators in areas such as CAD, PROCESS and TEST in their daily hassles. The engineering knowledge is stored in the knowledge base in the form of production rules (IF/THEN), while the facts of the problem are stored in the form of knowledge base. The reasoning processes are located in the inference engine. The backbone of the system was implemented using two web based programming language html and Java. The image and animation has been developed using Flash 8.0 and Adobe Photoshop 9.0, while the database is developed primarily in rule based text file ( *.kb ).
format Thesis
qualification_name masters
qualification_level Master's degree
author Kumaravel, Munisamy
author_facet Kumaravel, Munisamy
author_sort Kumaravel, Munisamy
title A Web Based Expert System for SMT Diagnostics in PCB Assembly Manufacturing
title_short A Web Based Expert System for SMT Diagnostics in PCB Assembly Manufacturing
title_full A Web Based Expert System for SMT Diagnostics in PCB Assembly Manufacturing
title_fullStr A Web Based Expert System for SMT Diagnostics in PCB Assembly Manufacturing
title_full_unstemmed A Web Based Expert System for SMT Diagnostics in PCB Assembly Manufacturing
title_sort web based expert system for smt diagnostics in pcb assembly manufacturing
granting_institution Universiti Utara Malaysia
granting_department Centre for Graduate Studies
publishDate 2006
url https://etd.uum.edu.my/1844/1/Kumaravel_Munisamy_-_A_web_based_expert_system_for_SMT_diagnostics_in_PCB_assembly_manufacturing.pdf
https://etd.uum.edu.my/1844/2/Kumaravel_Munisamy_-_A_web_based_expert_system_for_SMT_diagnostics_in_PCB_assembly_manufacturing.pdf
_version_ 1747827216418340864
spelling my-uum-etd.18442013-07-24T12:13:22Z A Web Based Expert System for SMT Diagnostics in PCB Assembly Manufacturing 2006 Kumaravel, Munisamy Centre for Graduate Studies Centre for Graduate Studies QA76.76 Fuzzy System. In today's manufacturing environment, Real-time monitoring, diagnosis, control and process optimization is needed to be competitive. Manufacturers need to capture knowledge about their processes and apply it in a way that can effectively drive real-time operational decisions. They also need to apply knowledge that detects and diagnoses process problems early and then helps operators recover quickly so that production can be kept going. This study involves the development of a prototype web based expert system for aiding manufacturing floor operators in solving their daily routine problems. The main aspect of the program is to help operators in areas such as CAD, PROCESS and TEST in their daily hassles. The engineering knowledge is stored in the knowledge base in the form of production rules (IF/THEN), while the facts of the problem are stored in the form of knowledge base. The reasoning processes are located in the inference engine. The backbone of the system was implemented using two web based programming language html and Java. The image and animation has been developed using Flash 8.0 and Adobe Photoshop 9.0, while the database is developed primarily in rule based text file ( *.kb ). 2006 Thesis https://etd.uum.edu.my/1844/ https://etd.uum.edu.my/1844/1/Kumaravel_Munisamy_-_A_web_based_expert_system_for_SMT_diagnostics_in_PCB_assembly_manufacturing.pdf application/pdf eng validuser https://etd.uum.edu.my/1844/2/Kumaravel_Munisamy_-_A_web_based_expert_system_for_SMT_diagnostics_in_PCB_assembly_manufacturing.pdf application/pdf eng public masters masters Universiti Utara Malaysia Murrell, S., & Plant, R. T. (1997). A survey of tools for the validation and verification of knowledge-based systems. Addison Wesseley. Tait, K., & Mehta, M. (1997).Validation of the workplace exposure assessment Intelligent Agent WORKBOOK. American Industrial Hygiene Association Journal,pp. 592-602. Wentworth, J., Knaus, R., & Aougab, H. (1999).Verification, Validation, and Evaluation of Intelligent Agent. FHWA Handbook: McLean, VA: Turner-Fairbanks Highway Research Center. Xenakis, J. J. (1990). Real use of AI: Intelligent Agent find widespread use in mainstream applications. Information Week, pp. 30-32. El-Najdawi, M. K., & Stylianou, A. C. (1993). Expert Support Systems: Integrating AI technologies.Communications journal of the ACM,pp. 54-65. J. Wang and A. Kusiak (2001), Computational Intelligence in Manufacturing Handbook, CRC Press, Boca Raton. David Blanchard (1995). Intelligent Manufacturing March issue. Lion heart Publishing Inc. Stubblefield, W. A. (1989). Artificial Intelligence and the Design of expert Systems. Benjamin 1 Cummings Publications Co. pp. 82-86. Lewand,.R. (1991). Intelligent Systems Design: Integrating Expert - Hypermedia and Database Technologies. Wiley Professional. pp.45-48. Andre, G.L. & Dal Monte, P. R. (1993). HERMES: An expert System for the Prognosis of Hepatic Disease. Bologno, Italy: Weekly Journal of University Bologna. S. J., Massari, P., Droy, J. M., Mahe, N., Blanc, T. Moirot, E. & Leroy, J. (1993). SETH. An Expert System for the Management on Acute Drug Poisoning Adults. Computer Methods Programs Biomedical; Vol. 43, pp. 171-176. Courtland M. Hilton and Eugene S. Meieran (2004). Use of Expert Systems in Manufacturing. Knowledge Applications Lab Journal, Intel Corporation Chandler, AZ 85226 Nathan Gnansambandam, Anthony Primavera, Ph.D. & K.Srihari, Ph.D. (2005) An Adaptive Expert System for the Reliability Prediction of Electronic Packages Department of System Science and Industrial Engineering. Weekly journal of State University of New York, Binghamton, NY 13902-6000. E. Feigenbaum, P. McCorduck, P. Nii, (1998). The Rise of the Expert Company: How Visionary Companies Are Using Artificial Intelligence to Achieve Higher Productivity and Profits, Times Books, 1988 pp.101-103 Hakan Ugur & K. Srihari, Ph.D. (2005). an integrated expert system environment for dfm in surface mount pcb assembly. Department Of Mechanical And Industrial Engineering journal state University Of New York, Birmingham, New York 13902- 6000. Chien-Hsing Wu & K. Srihari, Ph.D. (2005). knowledge based decision support for surface mount infrared re flow soldering. Department Of Mechanical And Industrial Engineering journal. State University Of New York, Binghamton, New York 13902-6000. Chang, T.C., Wysk, R.A., Wang, H.P., (1991). Printed Circuit s Handbook - Computer Aided Manufactory -, Prentice Hall, Englewood Cliffs, New Jersey,Coombs, J.C.F., , McGraw-Hill Book Company, New York, 1988.Ghosh, B. K., and Gupta, T.,'A Survey of Expert Systems In Manufacturing and Process Planning', Computers Industry,VO1.11,No.2, 1988, pp.195-204. C.Antific (1998) Guide to SMT, Electrochemical The Expert Systems, The Benjamin Cummings Publishing Co., Ridwood City, California, 1989. Lau, J.H., Editor. (1995). Ball Grid Array Technology, McGraw-Hill, New York. Clech, J-P., Noctor, D.M., Manock, J.C., Lynott, G. W., Bader, F.E., & Augis, J.A. (1993). A Comprehensive Surface Mount Reliability (CSMR) Model Covering Several Generations of Packaging And Assembly Technology. IEEE Transactions on CHMT, Vol. 16, No. 8. (pp.949-960). Elmasri, R., & Navathe, S. (2000). Fundamentals of Database Systems,Third Edition, Addison-Wesley, Menlo Park, CA.

Similar Items