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考虑学习曲线的项目人力资源分配研究

发布时间:2018-05-24 15:46

  本文选题:项目管理 + 人力资源分配 ; 参考:《哈尔滨工业大学》2015年硕士论文


【摘要】:在竞争日益激烈的市场环境中,由于项目周期变长、项目复杂度升高等原因,项目对人力资源的需求不断增加,人力资源成为众多项目争夺的紧要对象。如何平衡利益冲突协调人力分配、最大程度地发挥员工优势、提高项目绩效成为项目管理中的一个重要问题。根据“学习曲线”理论,随着员工参与的项目增多,工作效率会不断提高。而项目中的人力资源管理具有动态性,完成当前项目工作的员工会被分配至新的岗位。基于该特性,项目中员工的学习行为对工作能力的影响更加明显。因此,依据员工的工作经验和能力进行岗位分配,对于降低人力管理成本、加快项目进度有重要意义。本文从人的学习行为出发,首先提出了基于学习曲线理论的人力资源分配框架。接着,本文依据员工在过去工作中学习和积累的经验,运用学习曲线函数来评估员工在新项目中的工作表现及能力,以项目组织价值最大化为目的构建人力资源配置模型。该模型采用0-1变量描述工作人员与工作岗位之间的匹配关系,并且应用学习曲线理论中的对数直线模型量化员工在岗位中的工作成本,使其作为目标函数中的衡量系数出现在模型中。最后,鉴于0-1混合整数规划模型中涉及到不同的变量,可行的分配方案众多,在大量的可行解中搜寻到最优解是模型求解的一个难点。因此本文提出整数规划同约束规划相结合的算法,并使用CPLEX软件对模型进行求解,以便快速准确的得到运算结果。本文以国内一家ERP上市公司的项目组为研究对象,通过问卷调研和对相关资料的分析获取模型所需数据,依据文中提出的算法在CPLEX软件编程求解,得到人力资源优化分配矩阵和项目最优组织可度量价值。接着比较本文分配方案与一般分配方案的项目组织可度量价值,证明考虑学习曲线的人力资源分配方法更适用于项目管理。
[Abstract]:In the increasingly competitive market environment, due to the long project cycle and the increase of project complexity, the demand for human resources is increasing, and human resources become the critical object of many projects. How to balance conflict of interest and coordinate manpower distribution, maximize the advantages of employees and improve project performance has become an important issue in project management. According to the "learning curve" theory, as employees participate in more projects, work efficiency will continue to improve. Human resource management in the project is dynamic, and employees who complete the current project are assigned to new positions. Based on this feature, the effect of learning behavior on work ability is more obvious. Therefore, it is of great significance to reduce the cost of manpower management and accelerate the progress of the project according to the work experience and ability of the staff. In this paper, a framework of human resource allocation based on learning curve theory is proposed. Then, based on the past work experience, this paper uses the learning curve function to evaluate the performance and ability of the staff in the new project, and constructs the human resource allocation model for the purpose of maximizing the value of the project organization. In this model, 0-1 variables are used to describe the matching relationship between the staff and the position, and the logarithmic linear model in the learning curve theory is used to quantify the work cost of the staff in the position. Make it appear in the model as the measurement coefficient in the objective function. Finally, in view of the different variables involved in the 0-1 mixed integer programming model, there are many feasible allocation schemes. It is difficult to find the optimal solution in a large number of feasible solutions. In this paper, an algorithm combining integer programming with constrained programming is proposed, and the model is solved by using CPLEX software, so that the results can be obtained quickly and accurately. This paper takes the project team of a ERP listed company in China as the research object, obtains the data needed by the model through the questionnaire investigation and the analysis of the related data, and solves the problem in the CPLEX software according to the algorithm proposed in this paper. The optimal allocation matrix of human resources and the measurable value of project optimal organization are obtained. Then comparing the project organization value of the allocation scheme and the general distribution scheme, it is proved that the human resource allocation method considering learning curve is more suitable for project management.
【学位授予单位】:哈尔滨工业大学
【学位级别】:硕士
【学位授予年份】:2015
【分类号】:F272.92

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