Integration of lean production and low-carbon optimization in remanufacturing assembly

被引:0
作者
Zhang, Cuixia [1 ]
Liu, Conghu [1 ,2 ,3 ]
Mao, Huiying [3 ,4 ]
Tian, Guangdong [5 ]
Jiang, Zhigang [6 ]
Cai, Wei [7 ]
Wang, Wenbin [4 ]
机构
[1] Suzhou Univ, Coll Mech & Elect Engn, Suzhou 234000, Peoples R China
[2] Shanghai Jiao Tong Univ, Sino US Global Logist Inst, Shanghai 200030, Peoples R China
[3] Suzhou Univ, Business Sch, Suzhou 234000, Peoples R China
[4] China Univ Min & Technol, Sch Econ & Management, Xuzhou 221116, Peoples R China
[5] Beijing Univ Civil Engn & Architechure, Sch Mech & Elect & Vehicle Engn, Beijing 200030, Peoples R China
[6] Wuhan Univ Sci & Technol, Sch Mech Automat, Wuhan 430065, Peoples R China
[7] Southwest Univ, Sch Engn & Technol, Chongqing 400715, Peoples R China
关键词
Remanufacturing; Low carbon; Lean production; Sustainable development; QUALITY; PROCUREMENT; CONSUMERS; MODEL;
D O I
10.1016/j.aei.2024.102789
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Remanufacturing is one of the effective ways to achieve carbon peak and carbon neutralization. Additionally, lean remanufacturing plays an irreplaceable role in promoting a circular economy and industrial green development. This paper focuses on the application of lean production and low-carbon management in remanufacturing assembly systems. We propose an optimization decision-making method for lean low-carbon management for remanufacturing assembly. On the basis of the carbon footprint, we interpret and measure the quality, cost, and time of remanufacturing assembly systems. Functions are established to characterize the carbon trajectory of production management. Then, a low-carbon optimization model of remanufacturing assembly production management is constructed to minimize carbon emissions with combined sorting of parts, and a solution method based on a genetic algorithm, which has the attributes of excellent quality, low cost, and high efficiency, is studied. Interestingly, through practical application in engine regeneration enterprises, we have found that integrating lean and low-carbon approaches can enhance the total factor productivity of the remanufacturing assembly system. This study provides practitioners and decision-makers with an effective way to formulate lean low-carbon management of remanufacturing.
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页数:12
相关论文
共 61 条
  • [21] Tying product reuse into tying arrangements to achieve competitive advantage and environmental improvement
    Krystofik, Mark
    Gaustad, Gabrielle
    [J]. RESOURCES CONSERVATION AND RECYCLING, 2018, 135 : 235 - 245
  • [22] Remanufacturing challenges and possible lean improvements
    Kurilova-Palisaitiene, Jelena
    Sundin, Erik
    Poksinska, Bonnie
    [J]. JOURNAL OF CLEANER PRODUCTION, 2018, 172 : 3225 - 3236
  • [23] When remanufacturing meets product quality improvement: The impact of production cost
    Li, Gendao
    Reimann, Marc
    Zhang, Weihua
    [J]. EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 2018, 271 (03) : 913 - 925
  • [24] Error propagation model and optimal control method for the quality of remanufacturing assembly
    Li, Wenyi
    Zhang, Cuixia
    Liu, Conghu
    Liu, Xiao
    [J]. JOURNAL OF INTELLIGENT & FUZZY SYSTEMS, 2022, 42 (03) : 2533 - 2547
  • [25] Carbon footprint-based optimization method for remanufacturing machining paths
    Liu, ChangYi
    Meng, Xu
    Liu, Conghu
    Liu, Zhi
    [J]. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2023, 124 (10) : 3391 - 3406
  • [26] Liu CH, 2023, INT J ADV MANUF TECH, V128, P3531, DOI 10.1007/s00170-023-12080-y
  • [27] Quantitative Evaluation Model of the Quality of Remanufactured Product
    Liu, Conghu
    Chen, Jian
    Wang, Xiaoqiao
    [J]. IEEE TRANSACTIONS ON ENGINEERING MANAGEMENT, 2023, 71 : 7413 - 7424
  • [28] Data-Driven Remanufacturability Evaluation Method of Waste Parts
    Liu, Conghu
    Chen, Jian
    Cai, Wei
    [J]. IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2022, 18 (07) : 4587 - 4595
  • [29] Decoupling of wastewater eco-environmental damage and China's economic development
    Liu, Conghu
    Cai, Wei
    Zhai, Mengyu
    Zhu, Guang
    Zhang, Cuixia
    Jiang, Zhigang
    [J]. SCIENCE OF THE TOTAL ENVIRONMENT, 2021, 789
  • [30] Data driven eco-efficiency evaluation and optimization in industrial production
    Liu, Conghu
    Gao, Mengdi
    Zhu, Guang
    Zhang, Cuixia
    Zhang, Pan
    Chen, Jianqing
    Cai, Wei
    [J]. ENERGY, 2021, 224