• 首页
  • 期刊简介
  • 编委会
  • 投稿指南
  • 收录情况
  • 杂志订阅
  • 联系我们
引用本文:李景晗,任桓君,陈晓艺,王丽莎.基于改进多维规划的生产材料智慧订购问题研究[J].软件工程,2022,25(6):30-33.【点击复制】
【打印本页】   【下载PDF全文】   【查看/发表评论】  【下载PDF阅读器】  
←前一篇|后一篇→ 过刊浏览
分享到: 微信 更多
基于改进多维规划的生产材料智慧订购问题研究
李景晗1,任桓君2,陈晓艺3,王丽莎4
(1.青岛理工大学信息与控制工程学院,山东 青岛 266000;
2.青岛理工大学土木工程学院,山东 青岛 266000;
3.青岛理工大学管理工程学院,山东 青岛 266000;
4.青岛理工大学理学院,山东 青岛 266000)
530844710@qq.com; 1319544661@qq.com; 1906402050@qq.com; mathwls@126.com
摘 要: 目前,在解决生产型企业对多个供应商的最佳订购方案进行选取问题时,通常使用多目标规划或遗传算法。这些方法效率普遍不高,尤其是对复杂问题求解耗时很长。为提高求解效率,提出一种基于改进多维动态规划的智慧订购方案求解方法,该方法以最小生产成本为目标,通过约束最低生产需求和最大供货量,建立从二维延展至三维的动态规划模型,再对三维模型进行简化求解。通过实例验证了该方法的可行性和有效性。对比遗传算法,改进多维动态规划在运行效率和模型简练度上有很大优势。
关键词: 动态规划;材料订购;方案决策;多维规划
中图分类号: TP31    文献标识码: A
基金项目: 山东省自然科学基金青年基金(ZR2020QA008).
Research on Intelligent Ordering of Production Materials based on Improved Multi-dimensional Planning
LI Jinghan1, REN Huanjun2 , CHEN Xiaoyi3 , WANG Lisha4
( 1.School of Information and Control Engineering, Qingdao University of Technology, Qingdao 266000, China;
2.School of Civil Engineering, Qingdao University of Technology, Qingdao 266000, China;
3.School of Management Engineering, Qingdao University of Technology, Qingdao 266000, China ;
4.School of Science, Qingdao University of Technology, Qingdao 266000, China)
530844710@qq.com; 1319544661@qq.com; 1906402050@qq.com; mathwls@126.com
Abstract: At present, multi-objective planning or genetic algorithm is usually used by production enterprises to solve the problem of selecting the best ordering plan when facing multiple suppliers. These methods are generally inefficient and take a long time especially for solving complex problems. In order to improve the solution efficiency, this paper proposes an intelligent ordering plan solution based on improved multi-dimensional dynamic planning. Taking minimum production cost as the goal, This solution establishes a dynamic planning extending from 2D to 3D by constraining minimum production demand and maximum supply quantity, and then simplifies the solution of the 3D model. The feasibility and effectiveness of the proposed method are verified by an example. Compared with genetic algorithm, the improved multi-dimensional dynamic planning has great advantages in operation efficiency and model simplicity.
Keywords: dynamic planning; material ordering; plan decision; multi-dimensional planning


版权所有:软件工程杂志社
地址:辽宁省沈阳市浑南区新秀街2号 邮政编码:110179
电话:0411-84767887 传真:0411-84835089 Email:semagazine@neusoft.edu.cn
备案号:辽ICP备17007376号-1
技术支持:北京勤云科技发展有限公司

用微信扫一扫

用微信扫一扫