河北大学学报(自然科学版) ›› 2018, Vol. 38 ›› Issue (4): 346-355.DOI: 10.3969/j.issn.1000-1565.2018.04.002

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能力导向下的模糊项目组合优化

刘颖1,冯雪芹2   

  • 收稿日期:2017-07-01 出版日期:2018-07-25 发布日期:2018-07-25
  • 通讯作者: 冯雪芹(1964—),女,河北唐山人,河北大学教授,主要从事经济计量分析、项目管理等领域研究. E-mail:xfeng@hbu.edu.cn
  • 作者简介:刘颖(1980—),女,河北保定人,河北大学副教授,博士,主要从事项目组合选择、有价证券选择、库存管理等领域研究. E-mail:yingliu@hbu.edu.cn
  • 基金资助:
    河北省社科基金资助项目(HB17GL009)

Competence-oriented fuzzy project portfolio optimization

LIU Ying1, FENG Xueqin2   

  1. 1.College of Mathematics and Information Science, Hebei University, Baoding 071002, China; 2. School of Economics, Hebei University, Baoding 071002, China
  • Received:2017-07-01 Online:2018-07-25 Published:2018-07-25

摘要: 项目组合选择是项目组合管理的核心内容,是确保企业战略目标实现的重要方面.创新型企业的独特发展特征,决定企业的项目组合管理活动必须重视员工能力这一关键因素.值得注意的是在对员工能力进行评价时,能力值的刻画受到大量不确定因素的影响.为了处理能力分布信息部分已知的情形,用参数区间值分布刻画问题中的不确定参数,并构建了一个项目组合选择的最大可信性模型.进一步讨论项目组合收益和人力资源约束的转化并得到原模型的等价参数规划形式.最后通过算例分析说明所提出模型和方法的有效性.

关键词: 项目组合选择, 员工能力, 区间值分布, 可信性优化

Abstract: Project portfolio selection is the core of project portfolio management and is crucial to achievement of the enterprise strategic objective. The unique development characteristic of innovative enterprise determines that employee competence is a key factor in project portfolio management activities. It is worth noting that in the evaluation of employee competence, the characterization of competence value is affected by a lot of uncertainties. To deal with the situation of competence distribution information partially known, the parametric interval-valued distribution is used to characterize the uncertain parameter in the problem, and a maximum credibility project portfolio selection model is proposed. Further, the analytic expressions about the portfolio income and human resource constraints are derived, and the equivalent parametric programming form of the original model is obtained. Finally, the validity of the proposed model and methodology is illustrated by an example.

Key words: project portfolio selection, employee competence, interval-valued distribution, credibilistic optimization

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