Abstract
The issues of many organizations are related to the proper evaluation of human performance and efficient decision-making. The expert system application within the decision-making process is not a novelty, but the widespread of its implementation regarding performance evaluation has not been recognized yet. To overcome this problem, a case study of rule-based expert system application in the decision-making process regarding human performance in periodical technical inspection stations in Croatia is presented. The rule-based expert system improves the quality of traditional decision-making as designed rules provide a visual, transparent, and accurate comparison of observed values with the expected values. Moreover, it provides easy problem identification. Therefore, rules regarding periodical technical inspection inspectors’ performance are designed and embedded in the expert system architecture. However, more effort should be made into data analysis to define parameters and their relations for the purpose of designing rules. Thus, the binary logistic regression and an ANOVA statistical test were conducted to identify which parameters can be assumed as relevant indicators regarding the performance of periodical technical inspection inspectors. In this study, the expert system application has resulted in faster response, greater efficiency, and increased objectivity. That is of utmost importance for providing an efficient and transparent periodical technical inspection system.
Highlights
According to [1], organizations put significant effort into improving the quality of their products and services
The binary logistic regression and an ANOVA statistical test were conducted to identify which parameters can be assumed as relevant indicators regarding the performance of periodical technical inspection inspectors
This paper proposes the application of a rule-based expert systems (ES) within a process of making decisions regarding the performance of periodical technical inspection (PTI) inspectors in Croatia
Summary
According to [1], organizations put significant effort into improving the quality of their products and services. Efficient and objective performance evaluation could lead to better and higher quality processes [2]. Modern technology is driven by exact expectations, and it entirely alters the way processes usually flow. This leads to the importance of making real-time decisions. The tendency was to inject such capacities of thinking and reasoning into a computer to enable decisionmaking to less qualified persons. Those were the reasons why back-up systems came into existence. These systems are called decision-making support systems (DMSS). They were a basis for the development of expert systems (ES)
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