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Optimization Research Of Progress Of M7200 Test System R&D Project Of MAY

Posted on:2020-03-18Degree:MasterType:Thesis
Country:ChinaCandidate:H B LiFull Text:PDF
GTID:2439330590493592Subject:Business Administration
Abstract/Summary:PDF Full Text Request
In recent years,with the expansion of the electronic instrument market year by year,the competition among electronic instrument manufacturers has become increasingly fierce.In order to seize market share,enterprises are constantly conducting research and development projects for new products.However,due to the lack of research on project management in R&D at this stage,the control of traditional project R&D progress is basically based on experience,which often leads to delays in progress or budget overruns in order to ensure progress.This paper combines the schedule of the M7200 test system development project of MAY Company,and uses the knowledge theory and linear programming method of project management to design a new schedule optimization plan.Firstly,based on the project management,the project is decomposed,the network map of the project is drawn,the critical path is found,the project cost is listed,and the basic data is provided for the progress optimization of the later project.Then,combined with the relevant experience of previous projects,the first round of combination optimization of task scheduling,parallel tasks,and resource optimization configuration was carried out on the project schedule.Finally,the network optimization technique in the linear programming method was used to establish the model and the project progress.A second round of optimization at a limited cost was carried out to shorten the project's duration as much as possible.The progress optimization model established in the paper is also applicable to similar test system development projects,and also provides important reference for peers in the progress optimization of research and development projects.
Keywords/Search Tags:Critical Path Method, Scheduling Optimization, Project Management, R&D, Linear Programming
PDF Full Text Request
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