| 不确定信息条件下制造/再制造物流网络优化设计 |
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| 引用本文： | 刘琼,叶晶晶,邵新宇.不确定信息条件下制造/再制造物流网络优化设计[J].华中科技大学学报(自然科学版),2007,35(10):80-83. |
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| 作者姓名： | 刘琼 叶晶晶 邵新宇 |
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| 作者单位： | 华中科技大学,数字制造装备与技术国家重点实验室,湖北,武汉,430074 |
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| 基金项目： | 国家重点基础研究发展计划(973计划) |
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| 摘 要： | 针对制造/再制造集成物流网络中回收产品的数量及质量的不确定性,提出将回收产品按质量等级分为可用于再制造和需要报废处理两类,并将其数量都看成随机参数.以投资成本和运输成本最低为目标函数,建立基于机会约束条件的随机规划模型,以确定物流设施的数量、位置和物流量.提出采用混合智能算法直接求解,避免现有研究中将机会约束规划转化为确定性等价类所带来的问题.通过算例验证了模型及算法的有效性.
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| 关 键 词： | 物流网络 不确定性 随机规划 混合智能算法(HIA) 不确定 信息条件 再制造 物流网络 优化设计 manufacture networks logistics Design environment uncertain 有效性 随机规划模型 验证 算例 问题 确定性等价类 转化 机会约束规划 研究 |
| 文章编号： | 1671-4512（2007）10-0080-04 |
| 修稿时间： | 2007-04-06 |
Design of logistics networks for manufacture/remanufacture in uncertain environment |
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| Liu Qiong,Ye Jingjing,Shao Xinyu.Design of logistics networks for manufacture/remanufacture in uncertain environment[J].JOURNAL OF HUAZHONG UNIVERSITY OF SCIENCE AND TECHNOLOGY.NATURE SCIENCE,2007,35(10):80-83. |
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| Authors: | Liu Qiong Ye Jingjing Shao Xinyu |
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| Institution: | State Key Laboratory of Digital Manufacturing Equipment and Technology, Huazhong University of Science and Technology, Wuhan 430074, China |
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| Abstract: | There are the uncertainty quantities and qualities of recycled products in integrated logistics network of manufacture/remanufacture systems.In order to solve this problem,it is proposed that recycled products were divided into two sorts,remanufacturabel products and waste ones,according to their qualities,and the quantities of those products were taken as random variables. A stochastic programming model is proposed by minimizing the total cost of investment and transportation cost.The numbers and locations of various logistics facilities and the volume of corresponding goods are yielded.Hybrid intelligent algorithm consisting is submitted to solve the model efficiently and avoid converting chance constraints to their respective crisp equivalents,The validity of the model and algorithm is demonstrated by a case study. |
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| Keywords: | logistics network uncertainty stochastic programming hybrid intelligent algorithm |
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