项目调度与物料订购集成优化研究综述
CSTR:
作者:
作者单位:

1. 湖南大学 工商管理学院,长沙 410082;2. 国防科技大学 系统工程学院, $ $长沙 410073;3. 华中科技大学 管理学院,武汉 430074

作者简介:

通讯作者:

E-mail: jianjiangwang@nudt.edu.cn.

中图分类号:

F224

基金项目:

国家自然科学基金项目(72071075,71701067,71971094,71801218);湖南省自然科学基金项目(2019JJ 50039,2020JJ4672).


Integrated project scheduling and material ordering: A literature review
Author:
Affiliation:

1. Business School,Hunan University,Changsha 410082,China;2. College of Systems Engineering,National University of Defense Technology,Changsha 410073,China;3. School of Management,Huazhong University of Science and Technology, Wuhan 430074,China

Fund Project:

  • 摘要
  • |
  • 图/表
  • |
  • 访问统计
  • |
  • 参考文献
  • |
  • 相似文献
  • |
  • 引证文献
  • |
  • 资源附件
  • |
  • 文章评论
    摘要:

    在项目管理实践中,活动安排与物料供应相互影响、相互制约,需要对这两个决策事项进行协同管理和规划.项目调度与物料订购集成优化问题(project scheduling and material ordering problem,PSMOP)研究的是如何合理制定项目调度和物料采购协同计划,以实现项目总成本最低、净现值最大、总工期最短等目标.PSMOP因其重要的理论价值和应用前景,近年来受到学术界和产业界的广泛关注.鉴于此,对国内外项目调度与物料订购集成优化的相关研究成果进行系统性总结与梳理:首先,介绍PSMOP问题及其常见的目标函数;其次,针对确定和不确定环境,分别总结了考虑不同特征的集成优化问题研究进展;然后,归纳了PSMOP常用求解算法及其在实践领域的应用情况;最后,指出未来进一步的研究方向.

    Abstract:

    In project management practice, activity arrangement and material supply interact and restrict each other, and simultaneous planning of these two decision items is of critical importance. The project scheduling and material ordering problem(PSMOP) aims at generating a coordinated project schedule and material procurement plan with the objectives of total cost minimization, net present value maximization, project duration minimization, etc. Due to the theoretical values and the application prospects, the PSMOP has received extensive attention from both academic and industrial fields in recent years. Therefore, a literature review of the research on the integrated project scheduling and material ordering problem is proposed. Firstly, the common objective functions of the PSMOP are introduced. Secondly, the research progress of the integrated optimization problem under both certain and uncertain environments is reviewed according to different problem characteristics. Thirdly, the algorithms for solving the PSMOP together with its application in the practical area are summarized. Finally, some future research directions are presented.

    参考文献
    相似文献
    引证文献
引用本文

胡雪君,王建江,崔南方,等.项目调度与物料订购集成优化研究综述[J].控制与决策,2022,37(9):2189-2200

复制
相关视频

分享
文章指标
  • 点击次数:
  • 下载次数:
  • HTML阅读次数:
  • 引用次数:
历史
  • 收稿日期:
  • 最后修改日期:
  • 录用日期:
  • 在线发布日期: 2022-07-30
  • 出版日期: 2022-09-20
文章二维码