ESTOQMA: AN EXPERT SYSTEM FOR TOTAL QUALITY
Prof. S. ALIUL H RIZVI, AHMER INAM, GAGAN BATRA, SYED AZHAR TAQVI.
Department of Mech. Engg., Jamia Millia Islamia, New Delhi -25, India.
Through the process of scaling the heights of development, human civilization appears to
have reached to such an elevation from where it is not far to visualize the “mechanical
mindless” machines getting transformed into an intelligent system. This grand process of
transformation is based on the recently evolved branch of knowledge known as Artificial
Intelligence (AI). One of the most promising sub-branch of AI that has emerged as a
universally recognized tool and making tidal waves is Expert System (ES). An ES is a
software developed by encoding human expert’s knowledge so that his/her expert-advice is
available to the user even at places where human expert is not available, thereby offering an
effective solution to face the problem of “scarcity” in the form of human experts. Because of
some specific advantages, commercialization in this area has already gained inroads.
Knowledge that is power is becoming the wealth of industries, institutions, and countries. A
number of expert systems have been and are being developed irrespective of what their
domain is, specifically in USA and Japan, and is becoming a necessity in the third world
countries like India, which lack experts in various domains. Present work was undertaken to
develop an expert system, ESTOQMA, for TQM, Total Quality Management. This expert
system may be a prototype if compared with the well-established internationally recognized
expert systems like MYCIN, DENDRAL, and PROSPECTOR etc. However, our ES does
provide an initiative towards the development of a more sophisticated and refined expert
system for TQM, that might be designed to cater to all the aspects of industry, helping it
achieve consummation. The ESTOQMA is written in TURBO C, which is not a conventional
language for expert system development, but was chosen for its ability to support large
mathematical calculations and graphical solutions, effectively and efficiently. Besides this,
the language is easy to manipulate and provides an effective platform for developing a
window-based, completely menu-driven, interactive dialogue-based, user-friendly interface.
The system responds interactively to a series of queries, performs calculations, plots graphs,
analyses and displays important instructions, and is adept enough to be used on Personal
Computers. A number of facilities, which could further be provided by using a large memory-
base have been highlighted at the end of the present work. When refined for its commercial
applicability in industries, it is expected that this expert system would immensely contribute
to the implementation of TQM in industries, particularly in the Indian environment.