资源约束条件下项目群工期优化模型研究
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摘要
资源总量受限条件下,当同一资源向多个项目供应时,项目群工期压缩原理与方法有别于单项目的工期压缩,不仅面临着有限资源合理分配问题,还需要考虑项目群中各合同项目之间的逻辑关系,为此,需要研究资源有限情况下项目群工期优化问题。借鉴单个项目工期优化方法,考虑项目群内部合同项目之间的逻辑关系,利用资源在项目群内部合同项目之间的转移,构建资源约束条件下项目群工期优化模型,确定可以进行资源输出和输入的合同项目,最终达到项目群工期优化的目的。以期为解决项目群工期优化问题提供新的思路和决策依据。
Under the condition of limited total resources,when the same resource is supplied to multiple projects,the principle and method of project group duration compression is different from that of single project,and not only faces the problem of reasonable allocation of limited resources,it is also necessary to consider the logical relationship between the contract items in the project group.Therefore,it is necessary to study the optimization of the project group duration under the condition of limited resources.Based on the optimization method of single project duration,considering the logical relationship between the internal contract items in the project group,and using the transfer of resources between the contract items within the project group,this paper constructs the optimization model of the project group duration under the condition of resource constraints,determine the contract items that can output and input resources,and finally achieve the purpose of project group duration optimization.The purpose of this paper is to provide new ideas and decision-making basis for solving the problem of project group construction period optimization.
Under the condition of limited total resources,when the same resource is supplied to multiple projects,the principle and method of project group duration compression is different from that of single project,and not only faces the problem of reasonable allocation of limited resources,it is also necessary to consider the logical relationship between the contract items in the project group.Therefore,it is necessary to study the optimization of the project group duration under the condition of limited resources.Based on the optimization method of single project duration,considering the logical relationship between the internal contract items in the project group,and using the transfer of resources between the contract items within the project group,this paper constructs the optimization model of the project group duration under the condition of resource constraints,determine the contract items that can output and input resources,and finally achieve the purpose of project group duration optimization.The purpose of this paper is to provide new ideas and decision-making basis for solving the problem of project group construction period optimization.
引文
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[14]白思俊.现代项目管理[M].北京:机械工业出版社,2003.
[15]陆绍凯,武振业.固定资源约束下的网络计划进度优化方法研究[J].重庆建筑大学学报,2005(4):88-92.
[16]戚明浩.项目群施工进度协同控制技术研究[D].沈阳:沈阳建筑大学,2015.
[17]黄健仓.建设企业多项目管理中的资源调度问题研究[J].中国软科学,2016(1):176-183.
[18]LEU S S,YANG C H,HUANG J C.Resource leveling in construction by genetic algorithm-based optimization and its decision support system application[J].Automation in Construction,2000,10(1):27-41.
[2]郭峰,陈敏友.成长战略导向的大型建筑企业项目群管理优势分析[J].科技进步与对策,2016(16):53-56.
[3]MARK L,ANDREAS R,JOHN D.Programme management:a critical review[J].International Journal of Project Management,2004,22(4):289-299.
[4]谢芳,徐哲,于静.柔性资源约束下的项目调度问题双目标优化[J].系统工程理论与实践,2016(3):674-683.
[5]BLAZEWICZ J,LENSTRA J K,RINNOOY KAN A H G.Scheduling subject to resource constraints:classification and complexity[J].Discrete Applied Mathematics,1983,5(1):11-24.
[6]刘士新.项目优化调度理论与方法[M].北京:机械工业出版社,2007:47-55.
[7]胡晨,徐哲,于静.基于工期分布和多资源约束的关键链缓冲区大小计算方法[J].系统管理学报,2015(2):237-242.
[8]HARTMANN S.A self-adapting genetic algorithm for project scheduling under resource constraints[J].Naval Research Logistics,2002,1(29):433-448.
[9]魏欣海.水利工程中资源有限优化工期的方法[J].中国水运(下半月),2010(2):69-70.
[10]沈宏强.基于优先级评价的多项目管理资源配置[D].天津:天津大学,2014.
[11]张春生,严广乐.基于资源时间因子的DSM项目群进度优化研究[J].运筹与管理,2013(4):93-100.
[12]王益锋,仲毅.基于粒子群算法的企业项目群进度优化模型研究[J].软科学,2014(6):16-20.
[13]李海凌,刘克剑,陶学明.工程项目群资源管理的HTCPN建模与优化[J].控制工程,2013(5):984-989.
[14]白思俊.现代项目管理[M].北京:机械工业出版社,2003.
[15]陆绍凯,武振业.固定资源约束下的网络计划进度优化方法研究[J].重庆建筑大学学报,2005(4):88-92.
[16]戚明浩.项目群施工进度协同控制技术研究[D].沈阳:沈阳建筑大学,2015.
[17]黄健仓.建设企业多项目管理中的资源调度问题研究[J].中国软科学,2016(1):176-183.
[18]LEU S S,YANG C H,HUANG J C.Resource leveling in construction by genetic algorithm-based optimization and its decision support system application[J].Automation in Construction,2000,10(1):27-41.