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《山东大学学报(理学版)》 ›› 2025, Vol. 60 ›› Issue (6): 45-62.doi: 10.6040/j.issn.1671-9352.0.2024.078

• • 上一篇    

基于可持续和个性化的新能源汽车零件供应链网络设计

董海1,张晨2*   

  1. 1.沈阳大学应用技术学院, 辽宁 沈阳110041;2.沈阳大学机械工程学院, 辽宁 沈阳110041
  • 发布日期:2025-06-20
  • 通讯作者: 张晨(2000— ),男,硕士研究生,研究方向为供应链管理. E-mail:306842671@qq.com
  • 作者简介:董海(1971— ),男,教授,博士,研究方向为网络化协同设计与制造,生产运营管理、供应链管理. E-mail:dh@syu.edu*通信作者:张晨(2000— ),男,硕士研究生,研究方向为供应链管理. E-mail:306842671@qq.com
  • 基金资助:
    国家自然科学基金资助项目(71672117);中央引导地方科技发展资金计划(2021JH6/10500149)

Design of sustainable and personalized supply chain network in the context of carbon neutrality

DONG Hai1, ZHANG Chen2*   

  1. 1. School of Applied Technology, Shenyang University, Shenyang 110041, Liaoning, China;
    2. School of Mechanical Engineering, Shenyang University, Shenyang 110041, Liaoning, China
  • Published:2025-06-20

摘要： 针对碳中和背景下可持续和个性化新能源汽车零件供应链网络优化设计问题,建立了一种基于可持续和个性化闭环供应链网络(supply chain network, SCN)的鲁棒优化模型,以解决SCN中的不确定性问题。首先,基于不确定集描述不确定参数,针对新能源汽车零件SCN结构建立了以运输成本最小化、处理成本最小化、运营成本最小化和碳排放成本最小化为目标的混合整数规划模型,同时,根据超几何分布法,提出了一种供应链产品个性化评判机制;其次,在原有野狗优化算法的基础上动态调整执行策略参数,并将种群群体攻击策略与莱维飞行策略进行结合,增强算法的全局寻优准确性与收敛速度;最后,通过MATLAB数值与仿真实例分析表明,本文所提出的鲁棒优化模型与改进野狗算法在求解新能源汽车零件闭环供应链网络设计问题中具有明显优势。

关键词: 碳中和, 个性化, 改进野狗算法, 鲁棒优化

Abstract: Addressing the optimal design of sustainable and personalized supply chain networks for new energy vehicle(NEV)parts under the context of carbon neutrality, a robust optimization model based on a sustainable and personalized closed-loop supply chain network is established to tackle uncertainties within the supply chain network. Firstly, uncertain parameters are described using uncertainty sets, and a mixed-integer programming model is formulated for the NEV parts supply chain network structure, aiming to minimize transportation costs, processing costs, operational costs, and carbon emission costs. Additionally, a personalized evaluation mechanism for supply chain products is proposed based on the hypergeometric distribution method. Secondly, the execution strategy parameters of the original wild dog algorithm(WDA)are dynamically adjusted, and the population group attack strategy is integrated with the Lévy flight strategy to enhance the algorithm's global optimization accuracy and convergence speed. Finally, numerical and simulation analysis conducted in MATLAB demonstrates that the proposed robust optimization model, combined with the improved WDA, exhibits significant advantages in solving the design problem of closed-loop supply chain networks for NEV parts.

Key words: carbon neutral, personalization, improved wild dog algorithm, robust optimization

中图分类号: 

  • F253
[1] 孟炯,张杨,曾波. 基于个性化需求的产品竞争供应链结构选择[J]. 中国管理科学,2019,27(12):67-76. MENG Jiong, ZHANG Yang, ZENG Bo. Study on structure selection of product competition supply chain based on individualized demand[J]. Chinese Journal of Management Science, 2019, 27(12):67-76.
[2] YANG C H, XU T T, YANG R X, et al. Multi-agent single-objective negotiation mechanism of personalized product supply chain based on personalized index[J]. Advances in Mechanical Engineering, 2018, 10(10):1-10.
[3] 姜明,李洪心,刘德海. 基于电子商务B2B平台的个性化定制产品供应链治理结构重复博弈分析[J]. 运筹与管理,2020, 29(8):45-51. JIANG Ming, LI Hongxin, LIU Dehai. Repeated game model of supply chain governance for personalized customization products based on E-commerce B2B platform[J]. Operations Research and Management Science, 2020, 29(8):45-51.
[4] 锁立赛,姚建明,周佳辉. 基于顾客需求偏好的面向无人零售终端的供应链资源整合优化研究[J]. 中国管理科学,2021,29(10): 84-95. SUO Lisai, YAO Jianming, ZHOU Jiahui. Research on the integration and optimization of supply chain resources for unmanned retail terminals based on customer demand preference[J]. Chinese Journal of Management Science, 2021, 29(10): 84-95.
[5] 吴钢,潘雪伟,朱卫东,等. 面向汽车业大规模个性化定制的模式与技术[J]. 机械设计与研究,2021,37(1):165-169, 176. WU Gang, PAN Xuewei, ZHU Weidong, et al. Research on model and system for mass personalization customization in the automotive industry[J]. Machine Design & Research, 2021, 37(1):165-169, 176.
[6] SIISKONEN M, MORTENSEN N H, MALMQVIST J, et al. Adapting discrete goods supply chains to support mass customisation of pharmaceutical products[J]. Concurrent Engineering, 2021, 29(4):309-327.
[7] 吴桥,王可丽,何艳宾. 个性化定制下制造商与供应商合作策略演化研究[J]. 供应链管理,2022(7):15-25. WU Qiao, WANG Keli, HE Yanbin. Research on the evolution of the cooperation strategy between manufacturers and suppliers under personalized customization[J]. Supply Chain Management, 2022(7):15-25.
[8] 刘畅,姚建明. 社区团购场景下供应链末端配送资源整合优化研究[J]. 管理学报,2022,19(8):1231-1239. LIU Chang, YAO Jianming. Optimization of supply chain terminal resources integration under the community group purchase scenario[J]. Chinese Journal of Management, 2022, 19(8):1231-1239.
[9] CHEN C, DUAN Y R, LI G P. Adoption of personalized pricing in a supply chain[J]. Managerial and Decision Economics, 2022, 43(7):2715-2728.
[10] 金贵阳,陈罡,孙平范,等. 针织毛衫柔性供应链关键技术及实践[J]. 针织工业,2023(10):10-14. JIN Guiyang, CHEN Gang, SUN Pingfan, et al. Key technologies and practice of knitted cardigan flexible supply chain[J]. Knitting Industries, 2023(10):10-14.
[11] 王静,王小艺,兰翠芹,等. 服装个性化定制中信息技术的应用与展望[J]. 丝绸,2024,61(1):96-108. WANG Jing, WANG Xiaoyi, LAN Cuiqin, et al. Application and prospect of information technology in personalized clothing customization[J]. Journal of Silk, 2024, 61(1):96-108.
[12] KUITI M R, GHOSH D, GOUDA S, et al. Integrated product design, shelf-space allocation and transportation decisions in green supply chains[J]. International Journal of Production Research, 2019, 57(19):6181-6201.
[13] AMBEKAR S, PRAKASH A, PATYAL V S. Role of culture in low carbon supply chain capabilities[J]. Journal of Manufacturing Technology Management, 2019, 30(1):146-179.
[14] MOGALE D G, CHEIKHROUHOU N, TIWARI M K. Modelling of sustainable food grain supply chain distribution system: a bi-objective approach[J]. International Journal of Production Research, 2020, 58(18):5521-5544.
[15] QU S J, YANG H, JI Y. Low-carbon supply chain optimization considering warranty period and carbon emission reduction level under cap-and-trade regulation[J]. Environment, Development and Sustainability, 2021, 23(12):18040-18067.
[16] 赵新奇,陈晓春,陈垚彤. 考虑消费者绿色行为的药品回收供应链协调研究[J]. 科学决策,2022(3):101-111. ZHAO Xinqi, CHEN Xiaochun, CHEN Yaotong. Study of the coordination of pharmaceutical recycling supply chain considering green consumer behavior[J]. Scientific Decision Making, 2022(3):101-111.
[17] XIA T S, WANG Y Y, LV L X, et al. Financing decisions of low-carbon supply Chain under Chain-to-Chain competition[J]. International Journal of Production Research, 2023, 61(18):6153-6176.
[18] 徐浩鑫,于天阳,关志民,等. 不同权力结构下考虑制造商失望规避行为的低碳供应链决策研究[J]. 运筹与管理,2023, 32(2):45-52. XU Haoxin, YU Tianyang, GUAN Zhimin, et al. Research on low-carbon supply chain decisions considering manufacturers' disappointment aversion behaviors under different power structures[J]. Operations Research and Management Science, 2023, 32(2):45-52.
[19] 邵举平,周将军,孙延安. “碳中和” 背景下基于演化博弈与双层规划的供应链减排动力研究[J]. 运筹与管理,2023,32(12):79-85. SHAO Juping, ZHOU Jiangjun, SUN Yanan. Research on the driving force of supply chain emission reduction based on evolutionary game and bilevel programming under the background of “carbon neutral”[J]. Operations Research and Management Science, 2023, 32(12):79-85.
[20] 姚凡军,肖汉,高野,等. 碳配额交易政策下考虑消费者偏好和成员行为的供应链微分博弈研究[J]. 中国管理科学,2024,32(1):231-241. YAO Fanjun, XIAO Han, GAO Ye, et al. A differential game study of supply chain considering consumers green preference and member's behavior under cap-and-trade policy[J]. Chinese Journal of Management Science, 2024, 32(1):231-241.
[21] 王道平,常敬雅,郝玫. 碳交易政策下基于技术投资的供应链纵向合作动态减排研究[J]. 控制与决策,2024,39(5):1654-1664. WANG Daoping, CHANG Jingya, HAO Mei. Research on dynamic emission reduction of supply chain vertical cooperation based on technology investment under carbon trading policy[J]. Control and Decision, 2024, 39(5):1654-1664.
[22] 邹浩,秦进,杨鹏,等. 碳交易下考虑双重行为偏好的低碳供应链定价决策[J/OL]. 计算机集成制造系统. https://kns.cnki.net/kcms/detail/11.5946.tp.20230506.1558.008.html. ZOU Hao, QIN Jin, YANG Peng, et al. Low carbon supply chain pricing decision considering dual behavior preference under carbon trading[J/OL]. Computer Integrated Manufacturing Systems. https://kns.cnki.net/kcms/detail/11.5946.tp.20230506.1558.008.html.
[23] 董海,高秀秀,魏铭琦. 基于优化布谷鸟搜索算法的两阶段应急供应链网络建模与求解[J]. 统计与决策,2022,38(7):184-188. DONG Hai, GAO Xiuxiu, WEI Mingqi. Modeling and solution of two-stage emergency supply chain network based on optimized cuckoo search[J]. Statistics & Decision, 2022, 38(7):184-188.
[24] ANUDARI C, YUN Y. Supply chain network design model considering supplier and route disruptions: hybrid genetic algorithm approach[J]. Journal of the Korean Society of Supply Chain Management, 2021, 21(1):37-53.
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