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出 处:《广西大学学报(自然科学版)》2016年第5期1465-1476,共12页Journal of Guangxi University(Natural Science Edition)
基 金:国家自然科学基金资助项目(71171129);交通运输部科技项目(2015328810160);上海市科委科研计划项目(14DZ2280200;14511107402);上海市自然科学基金资助项目(15ZR1420200)
摘 要:在"互联网+"背景下,为促进互联网手机回收企业线下逆向物流网络优化布局,根据手机回收逆向物流网络结构及处理流程,建立了以互联网手机回收企业利润最大化和回收处理设施平均利用率最大化为目标的废旧手机逆向物流网络规划模型。考虑废旧手机档次和新旧程度等性质差异及政府补贴因素所带来的影响,结合案例并运用Lingo软件进行求解,得出了互联网手机回收企业回收中心和处理中心的优化选址方案。此时,互联网回收企业的总利润为1 841 824元,所选设施的平均利用率为95.67%。通过对回收量、回收价格及政府补贴3个因素的灵敏度分析,表明单个变量的变化对选址结果的影响较小,从而验证了模型和求解方法的有效性和可行性;但这3个因素对互联网回收企业利润的影响较大,为互联网手机回收企业策略选择提供参考。In order to improve the optimal allocation of the offline reverse logistic network of Internet mobile phone recycling enterprise under the background of “Internet+”, according to the structure and processing procedure of mobile phone recycling reverse logistic network, the used mobile phone reverse logistics network programming model, which regards the profit maximization of Internet mo-bile phone recycling enterprise and utilization maximization of recycling processing facilities as tar-gets, is designed. Considering the property difference such as the class and condition of used mobile phones as well as the government subsidies, based on some cases, it applies Lingo software to find out the optimal address selection planning for the recycling center and processing center of Internet mobile phone recycling enterprise. In this case, the total profit of the Internet mobile phone recy-cling enterprises is RMB 1 841 824 , the average utilization rate of the selected facilities is 95. 67%. Besides, through the Sensitivity Analysis on recycling quantity, price and sensitivity of government subsidies during the phone recycling process, it showed that the change in a single variable has little effect on the location results, thus this verify the validity and feasibility of the model and solution methods. However, it has a greater impact on the Internet mobile phone recycling enterprises profits recovered the Internet, so as to provide reference for the Internet mobile phone recycling business strategy selection.
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