The Developing of the Maintenance and Repair Body of Knowledge to Increasing Equipment Maintenance and Repair Organization Efficiency
| Autor: | A.V. Kizim |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
0209 industrial biotechnology
Engineering Process management business.industry Process (engineering) Strategy and Management Knowledge economy 010401 analytical chemistry 02 engineering and technology Library and Information Sciences Ontology (information science) Business model computer.software_genre 01 natural sciences Automation 0104 chemical sciences Body of knowledge Intelligent agent 020901 industrial engineering & automation Systems engineering Performance indicator Business and International Management business computer |
| Zdroj: | Information Resources Management Journal. 29:49-64 |
| ISSN: | 1533-7979 1040-1628 |
| Popis: | This paper describes a comprehensive approach to ensuring equipment maintenance and repair organization (MRO) efficiency in solving tasks with supporting tools and a systematic approach. Types of support for MRO, classification of MRO methodologies, basic organization aspects of the program, information and methodical support for MRO, which makes maintenance and repair body of knowledge (M&R BOK) are presented. The problem of maintenance and repair organization, the MRO process formalization aspects is showed. The main essence of the MRO process was highlighted. The ways of improving MRO by using the system approach, correlated goals and key performance indicators, and also some methods of improving the MRO organization efficiency are proposed. The MRO process formalization with functional and business models and incorporating them into a common information MRO support model is proposed. The MRO KPI was described as a model. The principal algorithm of the continuous MRO improvement based on KPIs was proposed. The task of MRO knowledge accumulation and using was considered. Using the ontology for knowledge managing in the MRO tasks was substantiated. Using neural networks for decision making in the several MRO decision-making tasks was showed. The application of intellectual agents and multi-agent system for performance monitoring, data collection and decision making are described. The life cycle cost of the equipment formula is proposed. The tasks of optimization in MRO support and knowledge accumulation, application and reasoning by ontologies are commonly described. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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