考慮碳排放的多周期醫(yī)藥逆向物流網(wǎng)絡(luò)聯(lián)建研究
發(fā)布時間:2018-11-09 17:46
【摘要】:為建立有效的過期藥品或廢舊醫(yī)療器材回收網(wǎng)絡(luò),文章構(gòu)建了考慮碳排放的多周期醫(yī)藥逆向物流網(wǎng)絡(luò)聯(lián)建模型,并采用遺傳算法(GA)進(jìn)行算例分析,從而驗(yàn)證了模型的有效性.結(jié)果表明,與單周期系統(tǒng)相比,該多周期系統(tǒng)具有動態(tài)性、系統(tǒng)總成本達(dá)到最低、碳排放量明顯減少的優(yōu)點(diǎn).同時研究也為構(gòu)建地區(qū)性醫(yī)藥逆向物流網(wǎng)絡(luò),降低系統(tǒng)運(yùn)營成本以及響應(yīng)國家節(jié)能減排號召提供了借鑒.
[Abstract]:In order to establish an effective recovery network of expired drugs or used medical equipment, a multi-cycle pharmaceutical reverse logistics network model considering carbon emissions is constructed, and the genetic algorithm (GA) is used to carry out an example analysis. The validity of the model is verified. The results show that compared with the single-period system, the multi-period system has the advantages of being dynamic, the total cost of the system is the lowest, and the carbon emission is obviously reduced. At the same time, the research also provides a reference for building regional pharmaceutical reverse logistics network, reducing the operating cost of the system and responding to the call of national energy saving and emission reduction.
【作者單位】: 上海理工大學(xué)管理學(xué)院;
【基金】:國家自然科學(xué)基金(71071093,71471110,71301101) 上海市自然科學(xué)基金(10ZR1413300)
【分類號】:F713.2;TP18;X32
[Abstract]:In order to establish an effective recovery network of expired drugs or used medical equipment, a multi-cycle pharmaceutical reverse logistics network model considering carbon emissions is constructed, and the genetic algorithm (GA) is used to carry out an example analysis. The validity of the model is verified. The results show that compared with the single-period system, the multi-period system has the advantages of being dynamic, the total cost of the system is the lowest, and the carbon emission is obviously reduced. At the same time, the research also provides a reference for building regional pharmaceutical reverse logistics network, reducing the operating cost of the system and responding to the call of national energy saving and emission reduction.
【作者單位】: 上海理工大學(xué)管理學(xué)院;
【基金】:國家自然科學(xué)基金(71071093,71471110,71301101) 上海市自然科學(xué)基金(10ZR1413300)
【分類號】:F713.2;TP18;X32
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