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Research On Engineering Condtruction Project Crisis Warning System Of 22 Metallurgical Company In China

Posted on:2016-04-26Degree:MasterType:Thesis
Country:ChinaCandidate:X J ZhangFull Text:PDF
GTID:2272330503955038Subject:Project management
Abstract/Summary:PDF Full Text Request
With the expansion of the 22 metallurgy company construction engineering project,The management of construction engineering project has become more and more complex.The construction engineering project has the characteristics of large investment,long period,complicated influence factors.so it’s easy to cause crisis of the project.through the comprehensive evaluation analysis,the company can improve its crisis management mode,also improve its crisis response capacity of the project.This paper combine with the crisis management current situation of the 22 metallurgy company,introduces the influence factors:safety,quality,cost,time and organizational.The paper establishes a construction engineering project crisis management index system to enrich the connotation of crisis management,and uses the BP neural network method which can analysis the crisis warning.Firstly,this paper reviews the research results of scholars at home and abroad in crisis management and identifies it’s focus through analyzing the current situation and problems of 22 metallurgy company crisis management.Secondly,The paper puts forward the evaluation index system to construction engineering project crisis management,which including 5 first grade index and 23 second grade index,extended from the first grade index.Finally,relying on the index system of construction engineering project crisis management,to bulid 22 metallurgy company construction engineering project crisis warning model.Using principal component analysis to extract the constituent of six major,as BP neural network input vector,such establish the construction engineering project crisis warning BP neural network model.The project in defined as three states:normal,risk,crisis.Then,Puts forward the improvement measures.
Keywords/Search Tags:22 metallurgy company, crisis management, crisis warning, principal compo-nent analysis, BP neural network
PDF Full Text Request
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