Ship Equipment Repair Level Analysis And System Development

The maintenance and repair of ship equipment, as a key part of a shipping enterprise modernization management, will directly affect the economic benefits of shipping companies. Which level to repair with ship equipment failure, how to reduce ship maintenance costs, greatly affect the economic benefits of shipping companies. Therefore, to select the best level for ship equipment repair is necessary, and provides a reasonable analysis approach to make decision on ship equipment repair in future for shipping companies.Ship maintenance and repair, level of repair analysis and ship equipment maintenance management system are related to this problem. After the review and summary of these topics, it describes the concept, division, general analysis steps and approach of level of repair analysis, provides a theoretical foundation and theoretical basis for the follow-up level of repair analysis on ship equipment.In the aspect of analysis methods on ship equipment repair level, it divides the repair level of ship equipment by the reference of level of repair analysis on military equipment. Then it designs a set of layer-by-layer analysis approach, including business competitive factors analysis, technical factors analysis, economic analysis, etc. The approach has been employed maintenance theory, operational research, probability theory. A decision tree model has been built for economic analysis of ship equipment repair level, taking the minimum expected repair cost as the objective function. In this basis, according to evaluation methods with many indexes and programs, the ship equipment repair level comprehensive analysis and evaluation model based on ERA has been established.Ship equipment repair level analysis system, using VB and Microsoft Access, is developed to match with the approach of ships equipment repair level. It achieves data entry, repair level analysis, and equipment repair level query functions, gives the instruction of the system description and system reliability verification through case studies.