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Study Of Project Executive Degree On The Basis Of Multiple Objective Combination

Posted on:2008-10-22Degree:MasterType:Thesis
Country:ChinaCandidate:L LiuFull Text:PDF
GTID:2189360242956756Subject:Technical Economics and Management
Abstract/Summary:PDF Full Text Request
The dissertation sets out Project Executive Ability and Project Executive Degree and institutes the system of appraisal. Project Executive has six influential factors: feasibility of project plan, consciousness of project manager, executive character of project management, effective execution mechanism, project manager's character and project executive team. Appraisal of project executive includes appraisal of executive element and appraisal of executive effect. Project Executive Degree studies six factors of Project Executive Degree in detail including control of duration, control of cost, control of quality, control of resource combination, control of project executive team and control of project structure. Subsequently we distribute weigh on every factor and we could get the main factors of Project Executive Degree, which is project duration, project cost, project quality and project resource combination. By means of multiple combination theory we could gain the output of project resource combination. Eventually we input the four figures into model of compensative fuzzy neural network to obtain the index of Project Executive Degree. According to the appraisal standard of Project Executive Degree, the project team's executive ability is assessed in the model. Project Executive Degree is the whole assessment on executive ability of project team, and also is the assessment on project team whose core is project manager. Thanks to modern project management actually comes to the transition of combination of company aptitude and personal aptitude, and eventually exerts project manager system. Therefore it is important that appraises project team.
Keywords/Search Tags:Project Executive Ability, Project Executive Degree, multiple combination theory, compensative fuzzy neural network
PDF Full Text Request
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