A method for selecting the optimal portfolio of performance improvement projects in a manufacturing system

被引:0
作者
Cho, Kyu-Kab [1 ]
Moon, Byung-Keun [1 ]
机构
[1] Pusan Natl Univ, Dept Ind Engn, Pusan 609735, South Korea
来源
INTERNATIONAL JOURNAL OF INDUSTRIAL ENGINEERING-THEORY APPLICATIONS AND PRACTICE | 2006年 / 13卷 / 01期
关键词
project portfolio selection; project portfolio evaluation; performance measurement; genetic algorithm;
D O I
暂无
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
This paper proposes a method for selecting the optimal portfolio of performance improvement projects in a manufacturing system. The proposed method consists of evaluation process and selection process for selecting the optimal portfolio. In the evaluation process, the strategic value of a project portfolio is evaluated by considering both the strategy and the performance improvement of a system. In the selection process, the objective is to maximize the strategic value of a project portfolio without violating constraints and a genetic algorithm is used to select the optimal project portfolio. The strategic value of a project portfolio obtained in the project portfolio evaluation process is used as the fitness function of the genetic algorithm. An example of a project portfolio selection in a manufacturing system is discussed in order to illustrate the proposed project portfolio selection method. Significance: This paper introduces a method for selecting the optimal project portfolio based on system performance improvement.
引用
收藏
页码:61 / 70
页数:10
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