[1]黄 蕊 黄文刚 豆祥忠.随机环境下再制造逆向物流网络规划研究[J].大众科技,2018,20(08):138-140,82.
 Planning of Remanufacturing Reverse Logistics Network under Stochastic Environment[J].Popular Science & Technology,2018,20(08):138-140,82.
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随机环境下再制造逆向物流网络规划研究()
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《大众科技》[ISSN:1008-1151/CN:45-1235/N]

卷:
20
期数:
2018年08期
页码:
138-140,82
栏目:
社会科学研究
出版日期:
2018-08-20

文章信息/Info

Title:
Planning of Remanufacturing Reverse Logistics Network under Stochastic Environment
作者:
黄 蕊 黄文刚 豆祥忠
(长安大学工程机械学院,陕西 西安 710054)
关键词:
再制造逆向物流网络多产品多周期
Keywords:
remanufacturing reverse logistics networks multi-product multi-period
文献标志码:
A
摘要:
文章针对逆向物流网络中废旧产品回收数量及再制品需求数量的不确定性,以整个物流网络中的总收益最大为目标,建立了多产品、多周期的再制造逆向物流网络优化模型,运用机会约束将不确定性模型转化为相应的确定性模型,通过该模型,可以确定再制造逆向物流网络中各个设施的数量、位置及设施间的物流量分配,最后通过实例验证了该模型的可行性。
Abstract:
Aiming at the uncertainty of the amount of recycled products and the quantity of the re-product demand in the reverse logistics network, a multi-product and multi-period optimization model is proposed, so that the total income is maximized in the whole logistics networks. The uncertain model were transformed to the corresponding certainty model using opportunity constraint, which can determine the number, location and distribution of various facilities in the remanufacturing of reverse logistics network. Finally, the feasibility of the model is verified by a practice example.

参考文献/References:

[1] 徐滨士.再制造技术与应用[M].北京:化学工业出版社, 2014. [2] 王雅璨.再制造生态闭环供应链物流网络设计研究[M].北京:北京交通大学出版社,2015. [3] 狄卫民.再制造物流网络优化设计的模型与方法[M].北京:中国物资出版社,2009. [4] 马祖军,代颖,刘飞.制造/再制造混合系统中集成物流网络优化设计模型研究[J].计算机集成制造系统,2005,11(11): 1551-1557. [5] Mahmoudi H,Fazlollahtabar H.An integer linear programming for a comprehensive reverse supply chain[J].Cogent Engineering,2014,1(1):939440. [6] Roghanian E,Pazhoheshfar P.An optimization model for reverse logistics network under stochastic environment by using genetic algorithm[J].Journal of Manufacturing Systems,2014,33(3):348-356. [7] Diabat A,Kannan D,Kaliyan M,et al.An optimization model for product returns using genetic algorithms and artificial immune system[J].Resources Conservation & Recyclcing,2013,74:156-169. [8] Ashfari H,Sharifi M,Elmekkawy T Y,et al.Facility Location Decisions within Integrated Forward/Reverse Logistics under Uncertainty[J].Procedia Cirp,2014,17:606- 610. [9] 王振锋,崔岩,王亮,等.不确定环境下的再制造闭环物流网络优化[J].计算机工程与应用,2012,48(36):221-226. [10] 高阳,周向红,刘军.灰色环境下多周期再制造逆向物流网络设计[J].统计与决策,2014(6):174-177. [11] 孙浩.基于遗传算法的再制造逆向物流网络随机选址模型[J].信息与控制,2009,38(2):223-228,233. [12] 高阳,李丽雪.随机环境下再制造逆向物流网络选址研究[J].数学的实践与认知,2013,43(16):27-34.

备注/Memo

备注/Memo:
【收稿日期】2018-06-07 【作者简介】黄蕊(1995-),女,长安大学工程机械学院在读硕士研究生,研究方向为再制造。
更新日期/Last Update: 2018-09-07