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The Research And Development Of Metal Mine Enterprise Asset Management (EAM) System

Posted on:2008-07-21Degree:MasterType:Thesis
Country:ChinaCandidate:J ZhangFull Text:PDF
GTID:2178360242469573Subject:Management Science and Engineering
Abstract/Summary:PDF Full Text Request
To asset-intensive enterprise, the asset management impacts directly the core competency of the enterprise in market. Many of Metal Mine Enterprises in our state belong to old enterprises, the equipment management system and conception are more backward, and there are a lot of problems in equipment management. Establishing scientific and perfect equipment management and maintenance systems and making management and maintenance work of mine equipment better are the basic conditions to achieve mine production and management objective and make the enterprise consistently,stably and coordinately develop. In the thesis, firstly the basic theory, the application state and development trend of EAM are introduced; Then the present equipment management system and problems of metal mine enterprise are analyzed; Secondly according to the characteristics of metal mine enterprises, all the equipments and spares are sorted and coded, all related information is counted to establish the database; Thirdly the main function modules are established, including equipment management, worksheet management, store management, purchase management, precaution maintenance management and predictive maintenance management. In the thesis, the basic theory of predictive maintenance and Grey System Theory are applied. And the change trend of state parameters of the equipments is predicted by GM (1, 1) module.EAM is an important mean to achieve enterprise asset management informatization, developing and achieving EAM system not only improve the utilization ratio of equipment, gain many output and lower consumption, but also in more widely meaning, provide the important guarantee in production quality, producing security, saving energy, environment protection.
Keywords/Search Tags:Metal Mine Enterprises, Enterprise Asset Management, Predictive Maintenance, GM (1, 1)
PDF Full Text Request
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