论文中文题名: | 基于区块链的再制造场景下煤机 装备供应链协同管理研究 |
姓名: | |
学号: | 22205230159 |
保密级别: | 公开 |
论文语种: | chi |
学科代码: | 125600 |
学科名称: | 管理学 - 工程管理 |
学生类型: | 硕士 |
学位级别: | 管理学硕士 |
学位年度: | 2025 |
培养单位: | 西安科技大学 |
院系: | |
专业: | |
研究方向: | 供应链管理 |
第一导师姓名: | |
第一导师单位: | |
论文提交日期: | 2025-06-19 |
论文答辩日期: | 2025-06-04 |
论文外文题名: | Research on supply chain collaborative management of coal machine equipment in remanufacturing scenario based on blockchain |
论文中文关键词: | |
论文外文关键词: | Blockchain ; Coal machine equipment manufacturing ; Supply chain collaborative management ; Equipment remanufacturing ; Trust evaluation model |
论文中文摘要: |
煤机装备供应链作为煤炭行业正常运转的重要保障,对其进行高效而合理的管控不仅是保证煤炭开采安全性与稳定性的前提,也是智慧矿山建设的重要基础。同时伴随着可持续发展理念深入人心,煤机再制造服务也发展为煤机装备供应链中不可忽视的重要流程,在确保煤机装备供应链高效自治的同时做好再制造煤机的可信溯源对提升供应链竞争力、保障再制造煤机装备可靠性具有重要意义。本文针对传统煤机供应链管理模式的弊端,提出一种基于区块链的煤机装备供应链管理系统研究,主要研究内容如下: 首先,通过对煤机装备供应链中各参与方的痛点问题与煤机装备的制造、再制造流程进行分析,开展了基于区块链的煤机装备供应链协同管理概念模型与平台业务设计,并对煤机装备再制造服务进行研究并建立了再制造煤机的区块链溯源框架。为解决煤机装备供应链中各个主体节点信誉流转效率差的问题构建了一套煤机供应链节点信誉动态评价方法,将节点信誉值进行量化,为后续的信息交互机制与系统研发提供了理论基础。 其次,针对传统区块链技术存在的系统存储性能差、数据上链混乱等固有特性,设计并构建基于主从多链结构的煤机装备供应链存储模型来对煤机供应链中数据进行分链管理,实现对煤机供应链的协同管理与不同主体间的数据隔离。同时为解决传统PBFT共识算法通信复杂度高、动态性差、节点数量有限导致的信息交互效率低的问题,以信誉评价模型为基础对PBFT共识算法进行改进,提出基于主从多链的MS-PBFT多通道优化共识算法,提升供应链信息交互效率与动态性,为数据的高效传递提供技术支撑。 最后,设计并实现了基于区块链的煤机装备供应链信息协同管理系统。结合供应链的实际业务需求,对系统的架构与功能模块进行了详细的设计,利用Hyperledger Fabric超级账本平台进行区块链网络搭建,使煤机供应链在具备了去中心化、信誉量化的同时提升了煤机再制造工艺和质量的可溯源性,在煤机装备供应链内部建立了一个互信互通、共享透明的高效管理平台。 |
论文外文摘要: |
As an important guarantee for the normal operation of the coal industry, efficient and reasonable control of the supply chain of coal machinery equipment is not only a prerequisite for ensuring the safety and stability of coal mining, but also an important basis for the construction of smart mines. At the same time, with the concept of sustainable development gaining popularity, the remanufacturing service of coal machine has also developed into an important process that cannot be ignored in the supply chain of coal machine equipment. It is of great significance to ensure the efficient autonomy of the supply chain of coal machine equipment while doing a good job in the reliable traceability of remanufacturing coal machine equipment to enhance the competitiveness of the supply chain and ensure the reliability of remanufacturing coal machine equipment. Aiming at the drawbacks of traditional coal machinery supply chain management mode, this paper proposes a blockchain-based coal machinery supply chain management system. The main research contents are as follows: First, by analyzing the pain points of each participant in the supply chain of coal machine equipment and the manufacturing and remanufacturing process of coal machine equipment, the conceptual model and platform business design of the supply chain collaborative management of coal machine equipment based on blockchain technology are carried out, and the remanufacturing service of coal machine equipment is studied and the blockchain traceability framework of remanufacturing coal machine is established. In order to solve the problem of poor trust flow efficiency of each main node in the supply chain of coal machinery equipment, a set of dynamic evaluation method of node reputation of coal machinery supply chain is constructed, and the node reputation value is quantified, which provides a theoretical basis for the subsequent information interaction mechanism and system research and development. Then, in view of the inherent characteristics of traditional blockchain technology, such as poor system storage performance and chaotic data link, a storage model of coal equipment supply chain based on the master-slave multi-chain structure is designed and constructed to carry out data chain management in the coal equipment supply chain, so as to realize collaborative management of the coal equipment supply chain and data isolation between different entities. At the same time, in order to solve the problems of low information interaction efficiency caused by high communication complexity, poor dynamics and limited number of nodes of traditional PBFT consensus algorithm, based on the reputation evaluation model, the PBFT consensus algorithm is improved, and MS-PBFT multi-channel optimization consensus algorithm based on master-slave multi-chain is proposed to improve the information interaction efficiency and dynamics of supply chain. Provide technical support for efficient transmission of data. Lastly, design and implement the supply chain information cooperative management system of coal machinery equipment based on blockchain. In combination with the actual business needs of the industrial chain, the architecture and functional modules of the system are designed in detail, and the blockchain network is built using Hyperledger Fabric platform, which enables the supply chain of coal machines to have decentralization and quantification of reputation, while improving the traceability of the remanufacturing process and quality of coal machines. An efficient management platform of mutual trust, mutual communication, sharing and transparency has been established within the supply chain of coal machinery equipment. |
参考文献: |
中华人民共和国统计局.中国统计年鉴[M].北京:中国统计出版社,2022. 贺超,庄玉良,张岩.面向“互联网+”的闭环供应链信息共享平台及其商业模式[J].中国矿业大学学报(社会科学版),2018,20(01):84-91. 中国机械工业联合会.中国再制造产业发展报告(2022)[R].机械工业出版社,2022. 中国煤炭报社.2023年煤炭产业分析专刊[N].中国煤炭报,2023-01-15(专刊). 王国法,孟令宇.煤矿智能化及其技术装备发展[J].中国煤炭,2023,49(07):1-13. 李帅,侯瑞春,陶冶.基于区块链的服务型制造供应链溯源技术研究[J].制造业自动化,2023,45(04):196-203. 张文芳,孙海锋,张晏端,等.基于树形结构构造的联盟链主从多链共识算法[J].电子学报,2022,50(02):257-266. 张建中.煤机装备产业互联网供应链协同模式研究[J].中国煤炭,2021,47(05):27-34. 赵国瑞.5G+智能化煤矿顶层设计与发展趋势[J].智能矿山,2022,3(04):48-54. 杨慧琴,孙磊,赵西超.基于区块链技术的互信共赢型供应链信息平台构建[J].科技进步与对策,2018,35(05):21-31. 笪如军.区块链技术赋能煤炭企业智慧物流平台建设的机理研究[J].中国煤炭,2022,48(09):80-86. 姬文晨,杨雷,陈有俊.我国工程机械再制造发展现状及建议[J].现代制造技术与装备,2020,56(11):130-132. 马晓燕,宋卫军,项榆,等.再制造技术在煤矿设备中的应用分析[J].设备管理与维修,2021,(18):106-107. 余淑均,宁莹珂,李胜强.基于区块链的再制造工艺信息共享系统研究[J].现代制造工程,2022(04):50-58. 林博亮,林爵权.制造业质量竞争力指数提升战略研究[J].统计与决策,2014(08):63-65. 黄敏,宋扬,高哲明,等.产品溯源研究综述及前景展望[J].控制与决策,2023,38(08):2158-2167. 刘耀宗,刘云恒.基于区块链的RFID大数据安全溯源模型[J].计算机科学,2018,45(S2):367-368+381. 李保东,叶春明.基于区块链的汽车供应链产品追溯系统[J].计算机工程与应用,2020,56(24):35-42. 禹忠,郭畅,谢永斌,等.基于区块链的医药防伪溯源系统研究[J].计算机工程与应用,2020,56(03):35-41. 胡叶舟,方莹,谢成淋,等.基于区块链的航空装配制造溯源方案[J].网信军民融合,2021(08):38-42. 孙海彬,刘孝保,熊英杰,等.基于区块链的农业机械质量溯源研究[J].农业装备与车辆工程,2022,60(01):116-121. 李梦琪,杨信廷,徐大明,等.基于主从多链的水产品区块链溯源信息管理系统设计与实现[J].渔业现代化,2021,48(03):80-89. 王天柱,李凌,彭志辰,等.基于区块链的可信制造供应链溯源框架设计[J].计算机应用研究,2024,41(05):1308-1313. 李强.工程机械再制造协同设计与质量保障关键技术及产业化[J].价值工程,2023,42(33):159-161. Castro M, Liskov B. Practical byzantine fault tolerance[C]//OsDI. 1999, 99(1999): 173-186. Li H, Zou L, Jiang T, et al. A Master-slave Multi-chain Vehicle Networking Architecture[J]. 2022. 王军进,许淞俊,刘家国.面对不确定性供应中断风险的制造商采购策略研究[J].中国管理科学,2024,32(12):269-277. 曾诗钦,霍如,黄韬,等.区块链技术研究综述:原理、进展和应用[J].通信学报,2020,41(01):134-151. 贺海武,延安,陈泽华.基于区块链的智能合约技术与应用综述[J].计算机研究与发展,2018,55(11):2452-2466. 王跃虎.基于区块链的信息资源共享系统研究[J].图书情报导刊,2018,3(5):42-47. 刘伟,梁工谦,胡剑波.基于PDCA循环持续改进的企业设备精益化维修[J].现代制造工程,2008,(02):5-8. 贾清华.大同煤矿集团煤机装备再制造关键技术研究[J].同煤科技,2020,(04):1-5+69. 贾泽坤.基于EigenTrust的PBFT共识算法研究[D].山西大学,2023. 伍星,范玉顺,郜振锋.云制造服务场景下基于QoS值的改进PBFT算法[J].计算机集成制造系统,2022,28(06):1767-1776. 侯博川.面向车联网基于区块链技术的信誉模型研究[D].北京邮电大学,2023. 解学梅,陈佳玲.供应链多维协同创新与企业绩效:一项元分析的检验[J].管理工程学报,2022,36(02):20-36. 李芳,李卓然,赵赫.区块链跨链技术进展研究[J].软件学报,2019,30(06):1649-1660. 李增鹏,赵子硕,王梅,等.去中心化随机信标研究[J].密码学报(中英文),2025,12(01):1-18. 任永旺,段红军,王振飞,等.融合可验证随机函数和门限签名的拜占庭容错共识算法[J].小型微型计算机系统,2022,43(07):1484-1493. |
中图分类号: | TP391 |
开放日期: | 2025-06-19 |