系统管理学报

系统管理学报 ›› 2021, Vol. 30 ›› Issue (3): 451-460.DOI: 10.3969/j.issn.1005-2542.2021.03.004

• 运筹学与工业工程 • 上一篇    下一篇

项目群业主费用最小条件下费用优化

丰景春，赵越，陈润东，冯海瑜   

  1. 河海大学 1a.商学院；1b.项目管理研究所；1c.国际河流研究中心，南京 211100；2.江苏省“世界水谷”与水生态文明协同创新中心，南京 211100；3.广西壮族自治区水利厅，南宁 530023；4.广西壮族自治区水利工程建设管理中心，南宁 530023
  • 出版日期:2021-05-28 发布日期:2021-06-11
  • 作者简介:丰景春（1963-），男，博士，博士生导师。研究方向为项目管理与工程管理
  • 基金资助:
    国家社会科学基金资助项目（17BGL156）；住房和城乡建设部2018年科学技术项目计划（2018-K8-23）

Cost Optimization Under the Condition of Minimum Employer Cost of Program

FENG Jingchun，ZHAO Yue，CHEN Rundong，FENG Haiyu   

  1. 1a. Business School；1b. Institute of Project Management；1c. International River Research Centre，Hohai University，Nanjing 211100，China；2. Jiangsu Provincial Collaborative Innovation Center of “World Water Valley” and Water Ecological Civilization，Nanjing 211100，China；3. Department of Water Resources of Guangxi Zhuang Autonomous Region，Nanning 530023；4. Water Conservancy Project Construction and Management Center of Guangxi Zhuang Autonomous Region，Nanning 530023，China
  • Online:2021-05-28 Published:2021-06-11

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摘要： 对于需要甲供非商品化资源的项目群而言，业主通过建立项目群共享资源池统一控制资源费用是业主支付项目群费用最小化的前提条件。在研究项目群甲供非商品化资源-费用优化问题时，首先，根据甲供非商品化资源的特点，定义了资源约束条件，并分析了业主统一管理甲供非商品化资源的优势；其次，为了使业主能够动态地控制项目群甲供非商品化资源生产与调度费用，分别研究并构建了工期固定下项目群实施前和实施过程中甲供非商品化资源-费用优化模型和再优化模型，并选用布谷鸟算法进行仿真实验；最后，结合项目群Z对模型进行验证分析。研究结果表明，与GA、PSO等经典优化算法相比，布谷鸟算法能更高效、稳定地求得甲供非商品化资源费用最小值，从而降低项目群实施前的优化费用、提高资源利用率，使业主支付费用最小。

关键词: 项目群, 资源约束, 费用优化, 资源调度, 甲供非商品化资源

Abstract: In the program that needs non-commercial resources provided by employer(NCRPE), establishing a shared resource pool for program that can control the resource cost is a prerequisite for the owner to minimize the cost of a program. In this paper, the resource-cost optimization of a program is studied. First, the NCRPE is defined according to the characteristics of resources, and the analysis on the advantage of resource providing mode is clarified. Next, the resource-cost optimization models of the two stages before and during the construction of the program in the fixed construction period are established respectively for the employer to dynamically control the production and scheduling costs of the NCRPE, and the cuckoo algorithm is used for the simulation experiment. After that, the resource-cost optimization model is verified by a case study of program Z. The results show that compared with GA and PSO, the cuckoo algorithm can obtain the minimum cost of NCRPE more efficiently and stably, further reduce the preliminary optimization cost, improve the utilization rate of resources, and minimize the payments of the employer.

Key words: program, resource constraints, cost optimization, resource scheduling, non-commercial resources provided by employer （NCRPE）

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