IJFANS International Journal of Food and Nutritional Sciences

ISSN PRINT 2319 1775 Online 2320-7876

Design and Development of Expert system through Artificial Intelligence for Task Scheduling

Main Article Content

Nageswara Rao Medikondu
» doi: 10.48047/IJFANS/V11/ISS9/367

Abstract

Extensive research has been conducted on the Cooperation Mission (FMS) program; the primary emphasis has been on the widely recognized learning process. An innovative approach for enhancing interaction options within JSSE (Computer Scheduling Environment), often employing uncomplicated models, is required. The documentation within the FMS program is relatively uninformative in this regard. This article is dedicated to scrutinizing machine and AGV (Automated Guided Vehicle) planning to establish criteria for diminishing the average delay within the FMS system through the application of an Expert System (ES). The viability of this approach can be tested across various scenarios using the 40-question FMS entertainment model.

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