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Oilfield Equipment Manufacturing Enterprise Marketing Security Early Warning Study

Posted on:2013-06-05Degree:MasterType:Thesis
Country:ChinaCandidate:E Z LiFull Text:PDF
GTID:2249330374466063Subject:Petroleum engineering management
Abstract/Summary:PDF Full Text Request
Having the face of increasingly fierce competition in the society recently, our countrypay much attention to the development of equipment manufacturing efforts increasing the oilrequirements for the equipment manufacturing industry diversify, in order to have a betterdevelopment oil equipment manufacturing enterprise, more attention must be paid toself-marketing safety, so as to achieve maximum profits. The security status of oil fieldequipment manufacturing enterprise marketing is not optimistic; it’s mainly due to the roughmanagement of oilfield equipment manufacturing enterprise, so the oilfield equipmentmanufacturing enterprise marketing security issue has important theoretical value andpractical significance.The paper first analyzes the research background, pointing out the significance ofresearch, and gives a statement of safety in Marketing Research at home and abroad. Thenintroduced the theory of marketing security, early warning theory and the theory of theKalman filter, combined with the characteristics of the oilfield equipment manufacturingenterprises, we can give the connotations of the oil field equipment manufacturing enterprisesmarketing safety. On this basis, the safety early warning indicator system of oilfieldequipment manufacturing marketing has been built. And related data through questionnaires,we use cluster analysis with SPSS17.0software and statistics to draw the double filter to dealwith the initial index system, finally we get the marketing security early warning indicatorsystem. Oilfield equipment manufacturing enterprise marketing security early warning modelis built based on the application of the Kalman filter theory, the use of confidence intervalsand principal component analysis identified the police limits of a single early warningindicators and comprehensive police limits, and given a warning state measure. ThroughMATLAB2009a the training and testing of the model results indicate that the filter modelestablished in this paper that used in oilfield equipment manufacturing marketing safetywarning is feasible. Finally, we set A oilfield equipment manufacturing group marketing thesecurity situation, as an example to do the actual analysis, we obtain the current and the states of next two years for A Oilfield Equipment Manufacturing Group marketing safety of theindividual indicators and indicators of early warning status, and give the correspondingpre-control countermeasures. This article aims to provide a system for oilfield equipmentmanufacturing enterprises, science, marketing security early warning system to optimize themarketing management of oilfield equipment manufacturing enterprises, and improvecompetitiveness in the market for oilfield equipment manufacturing enterprises.
Keywords/Search Tags:Oilfield equipment manufacturing enterprise, Marketing safety earlywarning, Kalman filter, Cluster analysis
PDF Full Text Request
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