|本期目录/Table of Contents|

[1]贺政纲,邹晔,叶立鹏.不确定环境下危险废弃物物流网络优化研究[J].中国安全生产科学技术,2016,12(5):114-119.[doi:10.11731/j.issn.1673-193x.2016.05.020]
 HE Zhenggang,ZOU Ye,YE Lipeng.Research on optimization of logistics network for hazardous waste under uncertain environment[J].JOURNAL OF SAFETY SCIENCE AND TECHNOLOGY,2016,12(5):114-119.[doi:10.11731/j.issn.1673-193x.2016.05.020]
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不确定环境下危险废弃物物流网络优化研究
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《中国安全生产科学技术》[ISSN:1673-193X/CN:11-5335/TB]

卷:
12
期数:
2016年5期
页码:
114-119
栏目:
现代职业安全卫生管理与技术
出版日期:
2016-05-30

文章信息/Info

Title:
Research on optimization of logistics network for hazardous waste under uncertain environment
作者:
贺政纲邹晔叶立鹏
(西南交通大学 交通运输与物流学院,四川 成都 610031)
Author(s):
HE Zhenggang ZOU Ye YE Lipeng
(School of Transportation & Logistics, Southwest Jiaotong University, Chengdu Sichuan 610031, China)
关键词:
物流工程危险废弃物不确定环境多周期多目标风险
Keywords:
logistics engineering hazardous waste uncertain environment multi-period multi-objective risk
分类号:
X951
DOI:
10.11731/j.issn.1673-193x.2016.05.020
文献标志码:
A
摘要:
研究危险废弃物物流网络构建的各个不确定因素,构建基于成本和风险最优的危险废弃物物流网络多目标多周期优化模型,然后设计了相应的遗传算法,并通过算例验证了模型及算法的有效性。从不同置信水平导致的优化结果不同可知,由于不确定性因素的存在,导致所设计的物流网络留有一定的容错空间,对设施、设备和人力资源造成浪费。故进行多周期规划,降低网络中各个因素的不确定性,可有效降低成本,减少风险。
Abstract:
The uncertain factors in the construction of logistics network for hazardous waste were studied. A multi-objective and multi-period optimization model on logistics network for hazardous waste based on optimizing cost and risk was established. The corresponding genetic algorithm was designed, and the effectiveness of model and algorithm was validated by an example. From the different optimization results caused by different confidence level, it can be seen that due to the existence of uncertain factors, the designed logistics network has a certain fault tolerant space, which leads to the waste of facilities, equipments and human resources. Through making multi-period plan, the uncertainty of each factor in the network can be reduced, so as to effectively reduce the cost and risk.

参考文献/References:

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备注/Memo

备注/Memo:
国家社会科学基金项目(13CGL127);四川省软科学计划项目(2013ZR0041)
更新日期/Last Update: 2016-06-17