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Research On Multi-resource Equilibrium Based On Critical Chain Technology In Engineering Multi-project

Posted on:2018-12-23Degree:MasterType:Thesis
Country:ChinaCandidate:B B ZhuFull Text:PDF
GTID:2322330536977609Subject:Project management
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With the continuous development of the construction industry,the construction scale and management complexity of the construction project are increasing,the competition in the construction market is becoming more and more intense.Many construction enterprises face the challenge of multi-project management,and the multi-project management has become a hot issue and a difficulty of the research of construction project management.In the case of multi-project parallelism,due to the limited resources of the construction site,there is often a "competition" of resources between different projects,which leads to resource conflict,the delay of project period and the increase of management cost.Critical chain method as a new project management technology has been applied in many project management of foreign enterprises,which has been effectively used to solve the project resources conflicts,to reduce management costs,to shorten the duration,which attach an important guiding significance.Therefore,it is a very practical research to study how to use the critical chain method to solve the multi-project management problem under resource constraints,and how to realize effective allocation,reduce cost and improve efficiency among multiple resources.In view of the above problems,this paper absorbs the latest research results of critical chain and resource equilibrium both at home and abroad.Based on the deep analysis of the various scheduling methods of critical chain and resource equilibrium,this paper proposes a heuristic coordination strategy for the traditional critical chain project management dilemma from the perspective of robust optimization.Two scheduling processes and two types of buffering dynamic consumption,the recognition method of multi-project critical chain is improved.Taking into account the factor of double target,and the non-dominant sorting multi-objective genetic evolution algorithm NSGA-II is used to solve.In order to further verify,this paper uses an example to verify the validity and feasibility of the model and algorithm.On the basis of identifying the critical chain,this paper further discusses the multi-project multi-resource equalization recognition method,analyzes the characteristics of the multi-project resource equilibrium problem and the deficiency of the traditional resource equilibrium method.It is found that the multi-resource equilibrium optimization in the multi-project is obviously different from the resource equilibrium optimization of the single project.The resource equilibrium optimization model can not simply use the "accumulation" of the single project resource equilibrium model.Multi-project resource equilibrium optimization needs to take into account the multi-project "overall" resource equilibrium and sub-project "part" resource equilibrium.Therefore,this paper improves the multi-resource equalization optimization method of the multi-project based on the new indicators of resource equilibrium — resource entropy from the perspective of multi-project overall resource equilibrium and sub-project resource equilibrium,and establishes multi-project multi-resource equilibrium optimization model based on critical chain,and the genetic algorithm is used to solve.In order to further verify,this paper uses an example to verify the validity and feasibility of the model and algorithm.In order to promote the critical chain method from the theoretical level to the application level,this paper will apply the resource leveling method based on the improved critical chain to the construction management plan of the shipyard construction project.By means of the identification of the critical chain and the optimization of the resource leveling,the validity and feasibility of the target model are verified.
Keywords/Search Tags:multi-project management, critical chain technology, Secondary scheduling, resource entropy, resource leveling
PDF Full Text Request
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