工业工程

工业工程 ›› 2012, Vol. 15 ›› Issue (5): 45-50.

• 实践与应用 • 上一篇    下一篇

面向虾产品质量追溯优化原料批次混合问题研究

毛志慧（1987-），男，湖南省人，硕士研究生，主要研究方向为企业信息化管理等.   

  1. 广东工业大学 机电工程学院 广东省计算机集成制造重点实验室，广东 广州 510006
  • 出版日期:2012-10-31 发布日期:2012-11-15
  • 基金资助:

    广东省现代信息服务业发展专项资金扶持项目（GDEID2010IS098）

A Study on Raw Material Batch Mixing Problem for Optimal Quality Tracing of Shrimp Products

  1. Key Laboratory of Computer Integrated Manufacturing System of Guangdong Province, Faculty of Electromechanical Engineering, Guangdong University of Technology, Guangzhou 510006, China
  • Online:2012-10-31 Published:2012-11-15

摘要： 对于虾产品出口贸易型企业，是否建立了可靠与精准的质量追溯体系己成为国际贸易间的技术壁垒。为了提高虾产品质量追溯体系的追溯精度，本文从原料批次混合问题着手，提出了一种降低原料批次混合程度问题的混合整数规划模型，利用多目标优化方法求解得最佳方案，并在某龙头水产加工企业验证，有效地缩小原料供应商的责任追踪范围。

关键词: 虾产品, 质量追溯,  , 多目标优化

Abstract: It is crucial for a shrimp exporting enterprise to have a reliable and accurate quality tracing system. The key for such a system is the quality tracing accuracy. It is found that to improve the shrimp quality tracing accuracy is to optimize the raw material batch mixing such that the mixing degree can be reduced. This problem is formulated as a multi-objective mixed integer programming problem and an algorithm is proposed to solve it. The proposed method is tested by a case problem from a leading aquatic product processing enterprise. Result shows that it can effectively narrow the responsible tracing range of the raw material suppliers.

Key words: shrimp products, quality tracing, multiobjective optimization