An expert system for optimizing the operation of a technical system. Issue 1 (22nd September 2020)

• Record Type: Journal Article
• Authors: Muślewski, Łukasz; Pająk, Michał; Migawa, Klaudiusz; Landowski, Bogdan
• Is Part Of: Journal of quality in maintenance engineering. Volume 28:Issue 1(2022)
• Page Start: 131
• Page End: 153
• Publication Date: 2020-09-22
• Subjects: Operation optimization -- Semi-Markov process -- Multi-objective analysis -- Quality space -- Maintenance strategies; Plant maintenance -- Quality control -- Periodicals; Total quality management -- Periodicals; Total productive maintenance -- Periodicals; 658.202
• DOI: 10.1108/JQME-05-2020-0033
• Languages: English
• ISSNs: 1355-2511

Abstract

Abstract : Purpose: The main purpose of the expert system presented in the paper is to support proper decision-making to perform the operation of the complex and crucial technical system in a rational way. Design/methodology/approach: The proposed system was developed using the universal concepts of a semi-Markov process, quality space and a multi-objective analysis. The maintenance and operation processes of a machine were modelled in the form of a semi-Markov process, the quality space was used to exclude the operation and maintenance process of critical quality and finally, thanks to implementation of a multi-objective analysis, the assessment system was build. Findings: By generating each flow of the process, the expert system supports optimization of a technical system operation to choose the best maintenance strategy. Application of the expert system created based on a real industrial system is presented at the end of the paper. Research limitations/implications: The limitations of the proposed approach can be found in the parts of simulation and assessment. As the number of states to be taken into consideration increases, the time of calculation gets longer as well. As regards the assessment, ranges of the criteria argument have to be determined. Unfortunately, in some industrial systems, they are difficult to define or they are infinite and should be artificially limited. Practical implications: The system provides three most important benefits as compared to other solutions. The first benefit is the system ability to make a choice of the best strategy from the perspective of the accepted criteria. The second advantage is the ability to choose the best operation and maintenance strategy from the point of view of a decision-maker. And the third is that the decision-maker can be completely sure that the chosen way of operation is not of critical quality. Originality/value: The novelty of the proposed solution involves the system approach to the expert system design, thanks to the described procedure which is flexible and can be easily implemented in different technical systems which have a crucial impact on reliability and safety of their operation. It is the unique combination of probability-based simulation, multi-dimensional quality considerations and multi-objective analysis.