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改进算法下考虑激励相容的双回收再制造供应链鲁棒优化

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  • 上海理工大学管理学院,上海 200093
王振(1995-),男,山东济宁人,博士研究生,主要研究方向为管理科学与工程,逆向物流。

收稿日期: 2023-10-06

  修回日期: 2023-12-13

基金资助

上海市哲学社会科学规划项目(2022BGL010);国家社会科学基金(22FGLB109);国家自然科学基金(71840003);上海市科技创新行动计划(20692104300)

Robust Optimization of Dual-recovery Remanufacturing Supply Chain Considering Incentive Compatibility Under an Improved Algorithm

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  • School of Management, University of Shanghai for Science and Technology, Shanghai 200093, China

Received date: 2023-10-06

  Revised date: 2023-12-13

摘要

为研究政府补贴对新能源汽车再制造供应链不同回收渠道的影响,建立双回收渠道下的多目标模型,改进鲁棒优化法解决回收时需求量和回收量不确定问题,并提出了卷积神经网络(Conv-GLU网络)方法对模型求解。通过对比线上线下回收渠道、联合回收渠道以及政府干预下的回收渠道的表现,政府干预下的多目标最优。研究表明,大数据背景下政府可以对回收时进行合理干预,帮助新能源汽车企业建立双回收渠道再制造绿色供应链。

本文引用格式

王振, 叶春明, 郭健全 . 改进算法下考虑激励相容的双回收再制造供应链鲁棒优化[J]. 复杂系统与复杂性科学, 2025 , 22(3) : 104 -112 . DOI: 10.13306/j.1672-3813.2025.03.014

Abstract

To study the impact of government subsidies on different recycling channels in the new energy vehicle remanufacturing supply chain, a multi-objective model under dual recycling channels is established, an improved robust optimization method is used to solve the problem of uncertainty in demand and recycling volume during recycling, and a convolutional neural network (Conv-GLU network) method is proposed to solve the model. By comparing the performance of online and offline recycling channels, joint recycling channels and recycling channels under government intervention, the multi-objective optimization under government intervention is optimal. Therefore, the government can reasonably intervene in recycling under the background of big data to help new energy vehicle enterprises establish a dual recycling channel remanufacturing green supply chain.

参考文献

[1] ROBIN B, KATHARINA F, ANTOINE D, et al. Analyzing policy change towards the circular economy at the example of EU battery legislation[J]. Renewable and Sustainable Energy Reviews, 2023, 186: 113665.
[2] 王伟光,侯军利.创新生产价值链视角下企业技术成长路径与创新能力演化——基于多案例比较分析[J].中国软科学,2023(4):151-161.
WANG W G, HOU J L. Evolution of enterprise technology growth path and innovation capability from the perspective of innovation production value chain-based on multi-case comparative analysis[J]. China Soft Science,2023(4):151-161.
[3] 臧鑫明,储涛,钟永光.延迟与参考效应下的双渠道低碳供应链运营策略研究[J].复杂系统与复杂性科学, 2023,20(3):80-89.
ZANG X M, CHU TAO, ZHONG Y G.Research on dual-channel low-carbon supply chain operation strategy under delay and reference effects[J]. Complex Systems and Complexity Science, 2023,20(3): 80-89.
[4] 王淑良,陈辰,张建华等.基于复杂网络的关联公共交通系统韧性分析[J].复杂系统与复杂性科学,2022,19(4):47-54.
WANG S L, CHEN C, ZHANG J H, et al. Toughness analysis of associated public transportation systems based on complex networks[J]. Complex Systemsand Complexity Science,2022,19(4):47-54.
[5] 王振,叶春明,郭健全.不确定需求下考虑激励相容的两级再制造供应链研究[DB/OL].[2023-12-19]. http://kns.cnki.net/kcms/detail/37.1402.N.20231019.1649.002.html.
WANG Z, YE C M, GUO J Q. A study of two-stage remanufacturing supply chain considering incentive compatibility under uncertain demand[DB/OL].[2023-12-19]. http://kns.cnki.net/kcms/detail/37.1402.N.20231019.1649.002.html.
[6] 邱若臻,吴旭,孙月等.不确定需求下考虑大数据投资决策的供应链鲁棒优化及协调模型[J].中国管理科学,2023,31(1):128-141.
QIU R Z, Wu X, Sun Y. A robust optimization and coordination model for supply chain considering big data investment decision under uncertain demand[J]. China Management Science, 2023,31(1): 128-141.
[7] FALLAH P, RABIEE M, YOUSEFI A, et al. Designing an agile, flexible and resilient disaster supply chain network using a hybrid group decision-making robust optimization framework[J]. Computers & Industrial Engineering, 2023,184:109591.
[8] SHARIFNIA S, AMROLLAHI B, SAWHNEY R, et al. Robust simulation optimization for supply chain problem under uncertainty via neural network metamodeling[J]. Computers & Industrial Engineering, 2021, 162:107693.
[9] KRISHNAN R, ARSHINDER K, AGARWAL R. Robust optimization of sustainable food supply chain network considering food waste valorization and supply uncertainty[J]. Computers & Industrial Engineering, 2022, 171: 108499.
[10] 郭健全,王振.不确定环境下考虑政府补贴的双回收渠道绿色闭环供应链研究[J].北京邮电大学学报(社会科学版),2020,22(1):44-52.
GUO J Q, WANG Z. Research on green closed-loop supply chain of dual recycling channel considering government subsidy under uncertain environment[J]. Journal of Beijing University of Posts and Telecommunications (Social Science Edition),2020,22(1):44-52.
[11] 郭健全,杨晓华.易腐品多周期闭环物流网络鲁棒优化模型[J].计算机应用研究,2020,37(3):774-778,783.
GUO J Q, YANG X H. Robust optimization model for multi-period closed-loop logistics network of perishable goods[J]. Computer Application Research,2020,37(3):774-778,783.
[12] WU G, YANG W, HOU X, et al. Strategy selection of agri-food supply chain under government subsidies[J]. Computers & Industrial Engineering, 2023, 185:109647.
[13] MA X, PAN Y, ZHANG M, et al. A Study of licensing strategies for energy storage technologies in the renewable electricity supply chain under government subsidies[J]. Journal of Cleaner Production, 2023, 420:138343.
[14] WANG Y, ZHANG X, CHENG T C E, et al. Choice of the co-opetition model for a new energy vehicle supply chain under government subsidies[J]. Transportation Research Part E: Logistics and Transportation Review, 2023, 179: 103326.
[15] YANG J, ZHANG Z, YANG L, et al. Coupling effect between waste heat recovery and government subsidy with supply chain as a pivot[J]. Sustainable Cities and Society, 2023, 99:104897.
[16] 董海,吴瑶.电网中断下基于DWOA的绿色产品闭环供应链网络多目标模糊优化设计[J].计算机应用研究,2021,38(6):1694-1698,1703.
DONG H, WU Y. Multi-objective fuzzy optimization design of closed-loop supply chain network for green products based on DWOA under grid interruption[J]. Computer Application Research,2021,38(6):1694-1698,1703.
[17] 郭健全,王振.模糊环境下基于激励相容理论的再制造闭环供应链研究[J].北京邮电大学学报(社会科学版),2023,25(1):50-60.
GUO J Q, WANG Z. Research on closed-loop supply chain of remanufacturing based on incentive compatibility theory under fuzzy environment[J]. Journal of Beijing University of Posts and Telecommunications (Social Science Edition),2023,25(1):50-60.
[18] SHI Y, FENG Y, ZHANG Q, ET A L. Does China′s new energy vehicles supply chain stock market have risk spillovers? Evidence from raw material price effect on lithium batteries[J]. Energy, 2023, 262(A):125420.
[19] GUO J Q, WANG G L, WANG Z, et al. Research on remanufacturing closed loop supply chain based on incentive-compatibility theory under uncertainty[DB/OL].[2023-05-16]. https://doi.or/10.1007/s10479-022-04591-w.
[20] GUO Y, SHI Q, WANG Y, et al. A scenario-based robust possibilistic-flexible programming model for responsive supply chain network design with a performance-oriented solution methodology[J]. Expert Systems with Applications, 2024, 238(D):121895.
[21] YOUSEFI B, BOZORGI A, TAVAKKOLI M, et al. Redesign of the sustainable wheat-flour-bread supply chain network under uncertainty: an improved robust optimization[J]. Transportation Research Part E: Logistics and Transportation Review, 2023, 176: 103215.
[22] LIU C, ZHEN J, SHAN W, Time series classification based on convolutional network with a gated linear units kernel[J]. Engineering Applications of Artificial Intelligence, 2023, 123(A): 106296.
[23] KIM B, PARK J, SUH J. Transparency and accountability in AI decision support: explaining and visualizing convolutional neural networks for text information[J]. Decision Support Systems, 2020, 134:113302.
[24] WANG Z, YE C M, GUO J Q. Robust optimization of multi-objective multi-cycle remanufacturing supply chain network considering incentive compatibility theory under improved algorithm[DB/OL].[2023-05-16]. https://doi.org/10.1016/j.cie.2023.109777.
[25] HAJIAGHAEI K, RAHMANIFAR G, MOHAMMADI M, et al. Designing a multi-period dynamic electric vehicle production-routing problem in a supply chain considering energy consumption[J]. Journal of Cleaner Production, 2023, 421:138471.
[26] 董海, 林国栋. 基于改进HBA算法的3C闭环供应链网络鲁棒优化设计[J]. 计算机应用研究, 2022, 39(10):6.
DONG H, LIN G D. Robust optimization design of 3C closed-loop supply chain network based on improved HBA algorithm[J]. Computer Application Research, 2022, 39(10):6.
[27] 霍晴晴, 郭健全. TBL理论下3C产品可持续闭环物流网络模糊优化[J]. 计算机工程与应用, 2020,56(19): 237-243.
HUO QQ, GUO J Q. Fuzzy optimization of sustainable closed-loop logistics network for 3C products under TBL theory[J]. Computer Engineering and Applications, 2020,56(19): 237-243.
[28] 杨晓华,郭健全. 新零售下绿色产品闭环物流网络模糊规划[J]. 计算机工程与应用,2019,55(2):198-205.
YANG X H, GUO J Q. Fuzzy planning of closed-loop logistics network for green products under new retail[J]. Computer Engineering and Application,2019,55(2):198-205.
[29] 孙中嘉,郭健全.中断风险下易腐品多目标闭环供应链网络模型[J].上海理工大学学报,2021,43(5):505-514.
SUN Z J, GUO J Q. A multi-objective closed-loop supply chain network model for perishables under interruption risk[J]. Journal of Shanghai University of Technology,2021,43(5):505-514.
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