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Journal of Emerging Trends in Engineering and Applied Sciences (JETEAS)

ISSN:2141-7016

Article Title: An Expert System for Determining Machines Capacity in Cement Industries
by S.O. Ogbeide, S.B. Adejuyigbe and B.Kareem

Abstract:
This study involves the development of a web based expert system and the goal is to develop an expert system for manufacturing engineering applications in the knowledge domain of machine capacity for producing cement in order to meet optimum production. Recent developments in expert systems allow users to conveniently interrogate a computer program as if it were an expert. The developed expert system using the JAVA Professional expert system shell will be particularly of great assistance to new comers who are not familiar with the field and will facilitate them in gaining a better understanding of the types and capacity of machines for production process and in making decisions about any necessary actions. The developed expert systems is versatile in the sense that it quickly generates results which hasten decision making process, and the machines capacity is also projected accurately, bearing in mind the type of cement to produce at any giving period. The developed expert system was validated on 10 selected test cases as well as 2 case studies. The system performs satisfactorily and it was discovered that the machine capacity for producing approximately 1 million bags of cement is between 2500 Tons/Day to 3333 Tons/Day
Keywords: cement, expert systems, machine capacity, java
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ISSN: 2141-7016

Editor in Chief.

Prof. Gui Yun Tian
Professor of Sensor Technologies
School of Electrical, Electronic and Computer Engineering
University of Newcastle
United Kingdom

 

 

Copyright © Journal of Emerging Trends in Engineering and Applied Sciences 2010