外协加工资源选择模型研究

doi:10.13190/jbupt.201303.116.zhangl

北京邮电大学学报 ›› 2013, Vol. 36 ›› Issue (3): 113-116.doi: 10.13190/jbupt.201303.116.zhangl

• 研究报告 • 上一篇

外协加工资源选择模型研究

张莉^1,2, 冯定忠²

1. 台州学院机械工程学院, 浙江台州 318000;
2. 浙江工业大学机械工程学院,杭州 310014

收稿日期:2012-01-10 出版日期:2013-06-30 发布日期:2013-06-30
作者简介:张莉(1977—), 女, 博士后; 冯定忠(1963—), 男, 教授, 博士生导师, E-mail: fdz@zjut.edu.cn.
基金资助:
浙江省教育厅科研项目(Y200906405)

Outsourcing Resource Selection Model

ZHANG Li^1,2, FENG Ding-zhong²

1. School of Mechanical Engineering, Taizhou University, Zhejiang Taizhou 318000, China;
2. College of Mechanical Engineering, Zhejiang University of Technology, Hangzhou 310014, China

Received:2012-01-10 Online:2013-06-30 Published:2013-06-30

摘要/Abstract

摘要：

为了在多个外协加工资源选择中集成产品规划的质量、成本和时间影响因素,建立了基于集对分析的产品优化控制的质量/成本/时间平衡优化模型. 采用基于压缩矩阵改进的阿霍-克若思克算法求解该优化模型,得到最佳的产品质量/成本/时间控制方案,从而为各零部件选择合适的外协加工资源. 最后,对三针平缝机的质量/成本/时间控制问题进行了实例分析,依据其分析结果确定各零部件的外协加工资源,结果表明了所提方法的可行性.

关键词: 集对分析, MAC算法, 质量/成本/时间, 外协加工资源选择

Abstract:

To integrate quality, cost and time of project development in multi-outsourcing resources selection, a quality/cost/time trade off model used for optimal scheduling of product planning was presented based on set pair analysis. Modified aho-corasick algorithm based on compressed matrix was used to solve the optimization model, and the optimal product quality/cost/time control concept alternative was obtained, and reasonable outsourcing resources was selected for each component. Finally, three needle lockstitch sewing’s quality/cost/time control process case was evaluated, based on which each component’s outsourcing resources was identified. The result shows the validity of the proposed method.

Key words: set pair analysis, modified aho-corasick algorithm, quality/cost/ time, outsourcing resources selection

中图分类号:

TH166
TP15

张莉, 冯定忠. 外协加工资源选择模型研究[J]. 北京邮电大学学报, 2013, 36(3): 113-116.

ZHANG Li, FENG Ding-zhong. Outsourcing Resource Selection Model[J]. JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM, 2013, 36(3): 113-116.

外协加工资源选择模型研究

Outsourcing Resource Selection Model

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