东北大学学报（自然科学版）

东北大学学报(自然科学版) ›› 2010, Vol. 31 ›› Issue (7): 921-924.DOI: -

• 论著 • 上一篇    下一篇

能力约束下单产品多厂区联合决策模型及算法

臧洁;唐加福;李丹;   

  1. 东北大学流程工业综合自动化教育部重点实验室;
  • 收稿日期:2013-06-20 修回日期:2013-06-20 出版日期:2010-07-15 发布日期:2013-06-20
  • 通讯作者: -
  • 作者简介:-
  • 基金资助:
    国家自然科学基金资助项目(70721001,70625001);;

Joint decisions model and algorithm for single product in multi-plants with capacity

Zang, Jie (1); Tang, Jia-Fu (1); Li, Dan (1)   

  1. (1) Key Laboratory of Integrated Automation of Process Industry, Ministry of Education, Northeastern University, Shenyang 110004, China
  • Received:2013-06-20 Revised:2013-06-20 Online:2010-07-15 Published:2013-06-20
  • Contact: Zang, J.
  • About author:-
  • Supported by:
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摘要： 针对具有能力约束的制造厂和多用户组成的生产-分销系统,研究了生产和运输能力约束下生产与运输联合决策,决策变量为产品的生产周期、供应商和用户之间的运输频率以及产品的经济分配量,优化目标为最小化供应链的单位时间平均总费用.在建立问题的非线性规划模型后,对模型进行了改进,提出了适合该问题模型的分配启发式算法.采用该算法和拟牛顿法(quasi-Newton method,QNM)分别对不同规模的问题进行了实例计算,结果验证了该模型的正确性和算法的有效性.

关键词: 联合决策, 生产分销, 能力约束, 启发式算法

Abstract: To deal with the production-distribution network for a manufacture with multiple plants with capacity constraints and multiple retailers, a joint decisions problem with production and transportation capacity constraints is studied. The decision variables include the production cycle length, delivery frequency in a cycle from the warehouse to the retailers and the economic production allocation. The optimization objective is to minimize of the average total cost per unit time. Since this problem is a noncocave-and-nonconvex nonlinear programming, its model is improved. A heuristics is developed to solve this joint decisions model. With a numerical example given to compute the problem of different sizes via either the proposed algorithm or the quasi-Newton method(QNM). The results showed the correctness of the model and the effectiveness of the proposed algorithm.

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