工业工程 ›› 2014, Vol. 17 ›› Issue (1): 44-49.

• 实践与应用 • 上一篇    下一篇

基于批量划分的无等待流水车间订单接受问题研究

  

  1. 北京科技大学 1.东凌经济管理学院,北京 100083; 2.钢铁生产制造执行系统技术教育部工程研究中心,北京 100083
  • 出版日期:2014-02-28 发布日期:2014-03-14
  • 作者简介:许绍云(1984-),女,山东省人,博士研究生,主要研究方向为先进制造管理、生产计划与调度等.
  • 基金资助:

    教育部博士学科点专项科研基金资助项目(20100006110006);中央高校基本科研业务费专项资金资助项目(FRF-SD-12-011B,FRF-SD-12-012B);国家自然科学基金资助项目(70771008)

Order Acceptance Based on Lot-spliting Strategy in No-wait Flow Shop

  1. 1.Dongling School of Economics and Management, University of Science and Technology Beijing, Beijing 100083, China;2.Engineering Research Center of MES Technology for Iron and Steel Production, Ministry of Education, Beijing 100083, China
  • Online:2014-02-28 Published:2014-03-14

摘要: 在无等待流水车间环境下,考虑订单分批量加工策略的订单接受问题,建立问题的数学模型。由于问题的NP难特性,提出改进的遗传算法对模型进行求解。改进的算法采用正向和反向NEH算法与随机方法产生初始种群,在算法更新过程中将禁忌搜索算法嵌入到遗传算法中来实现局部搜索,避免算法陷入局部最优。最后,算例表明批量划分策略能够有效减少订单的完成时间,实现订单总收益的最大化。通过算法对比,说明了改进遗传算法具有较好的求解效果。

关键词: 订单接受, 无等待流水车间, 批量划分, 改进遗传算法

Abstract: An integer programming model is constructed for the order acceptance problem with lotspliting in nowait flow shop. With the NPhard nature for the problem, an improved genetic algorithm (IGA) is proposed to solve the model. Unlike the standard GA algorithm, based on the basic NEH algorithm, the modified NEH algorithm, and stochastic method, the IGA presents an efficient initialization scheme to construct the initial population. In addition, tabu search for generating neighboring solution is embedded in the IGA to avoid a local optimum. Numerical results indicate the efficiency of lotsplitting in shortening the completion time of orders, which contributes to minimizing order tardiness. Compared with traditional genetic algorithm, the proposed approach yields significant improvement in solution quality.

Key words: order acceptance, no-wait flow shop, lot-splitting, improved genetic algorithm