运筹与管理 ›› 2015, Vol. 24 ›› Issue (5): 24-33.DOI: 10.12005/orms.2015.0155

• 理论分析与方法探讨 • 上一篇    下一篇

供应链环境下跨组织的PCPSP问题研究

王伟鑫1,2,葛显龙3,4,王旭5,倪霖5   

  1. 1.四川外国语大学国别经济与国际商务研究中心,重庆400031;
    2.四川外国语大学国际商学院,重庆400031;
    3.重庆交通大学管理学院,重庆400074;
    4.重庆邮电大学经济管理学院,重庆400065;
    5.重庆大学机械工程学院,重庆400030
  • 收稿日期:2013-12-03 出版日期:2015-10-12
  • 作者简介:王伟鑫(1986-),女,黑龙江齐齐哈尔人,讲师,主要研究方向:项目调度、工程项目管理;葛显龙(1984-),男,汉,河南信阳人,副教授,硕士生导师,主要研究方向:车辆路径优化、项目管理。
  • 基金资助:
    教育部人文社科基金资助项目(2014YJC630038),高等学校博士学科点专项科研基金资助项目(20135522120002);重庆市社会科学规划资助项目(2013YBGL130);电子商务与现代物流重点实验室开放基金项目(ECML201408)

Research on Inter-organization Resource-constrained Project
Integrated Scheduling in Supply Chain

WANG Wei-xin1,2, GE Xian-long3,4, WANG Xu5, NI Lin5   

  1. 1.Research Center for International Business and Economics, Sichuan International Studies University,Chongqing400031,China;
    2.International Business School, Sichuan International Studies University,Chongqing400031,China;
    3.School of Management ,ChongQing Jiao tong University,Chongqing400074,China;
    4.College of Economics and Management, Chongqing University of Posts and Telecoms, Chongqing 400065, China;
    5.College of Mechanical Engineering, Chongqing University,Chongqing400030, China
  • Received:2013-12-03 Online:2015-10-12

摘要: 在供应链环境下研究跨组织的资源受限项目调度问题,从项目调度整体效用最大化角度,考虑工期、成本和资源均衡对项目调度的影响。构建并剖析供应链环境下跨组织的资源受限项目调度模型,利用正态云模型中云滴的随机性与稳定性的特征改进遗传算法中交叉算子与变异算子的设置方式,并对模型进行数据模拟和算例分析。结果表明,以工期-成本-资源均衡为优化目标,不仅可实现供应链环境下跨组织的资源受限项目调度的效用最大化,且可缩短项目工期、降低成本并提高资源的利用率。

关键词: 项目调度, 供应链管理, 工期-成本-资源均衡, 云遗传算法

Abstract: The problem of inter-organization resource-constrained project scheduling in supply chain is proposed .the affect of duration、cost and resource leveling in project scheduling are considered from the standpoint of maximizing the overall utility. Then the model of the inter-organization resource-constrained scheduling problem in supply chain is constructed and analyged. Randomness and stability of droplets in Normal cloud model is adopted to improve the setting mode of crossover and mutation operator in Genetic algorithm, and numerical simulation is carried out. The results show that it not only reaches the objective of maximizing the overall utility for inter-organization resource-constrained scheduling in supply chain, but also the objective of shortening the duration、lowering the cost and improving resource-utilization efficiency when taking the duration-cost-resource leveling as optimize target.

Key words: project scheduling, supply chain management, duration-cost-resource leveling, cloud genetic algorithms

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