Role of Multi-Agent System in Reducing Failure Probabilities in Production System

Abstract

The goal of this study is to reduce the possibility of failure and increase a manufacturing organization's performance. After a thorough analysis of the literature, 28 MAT variables. These variables were classified into six factor groups, which formed the conceptual domain. The factors and variables were prioritized using the Analytical Hierarchy Process (AHP). The structural model developed yield compelling results, indicating that the 'Manufacturing Process' is the most essential factor followed by others. For variables, AHP evolved “Process Planning Agent” most prioritized under factor 'Manufacturing Process', “Diagnosis” for factor ‘Fault Identification', “Shop Floor Monitoring” for factor ‘Control System', and so on. This indicates variables are not limited to work within their group. So, organizations must have to focus more on the factors and variables those obtained the top-ranking during implications of MAT. This study may help industrial businesses to minimize the possibility of failures, which may lead to lower costs, increased production, and improved overall efficiency.