WO2022041267A1 - Procédé d'identification et d'évaluation des risques de chaîne d'approvisionnement en logistique d'exploitation et d'entretien de transport ferroviaire - Google Patents

Procédé d'identification et d'évaluation des risques de chaîne d'approvisionnement en logistique d'exploitation et d'entretien de transport ferroviaire Download PDF

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Publication number
WO2022041267A1
WO2022041267A1 PCT/CN2020/112713 CN2020112713W WO2022041267A1 WO 2022041267 A1 WO2022041267 A1 WO 2022041267A1 CN 2020112713 W CN2020112713 W CN 2020112713W WO 2022041267 A1 WO2022041267 A1 WO 2022041267A1
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Prior art keywords
risk
supply chain
rail transit
maintenance
logistics supply
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PCT/CN2020/112713
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English (en)
Chinese (zh)
Inventor
夏泽宇
方芳
夏钢
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苏州大成电子科技有限公司
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Priority to PCT/CN2020/112713 priority Critical patent/WO2022041267A1/fr
Publication of WO2022041267A1 publication Critical patent/WO2022041267A1/fr

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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/08—Logistics, e.g. warehousing, loading or distribution; Inventory or stock management

Definitions

  • the present invention relates to a method for risk identification and assessment of rail transit operation and maintenance logistics supply chain, which belongs to the technical field of supply chain logistics.
  • BACKGROUND OF THE INVENTION With the rapid development of rail transit, the pressure on rail transit system operation and maintenance is increasing.
  • the risk of rail transit operation and maintenance logistics supply chain is related to all aspects of rail transit operation safety, punctuality and efficiency.
  • the rapid development of rail transit, the lack of experience in rail transit operation and maintenance, the relative imperfection of related operation and maintenance facilities and policies, and the resulting risk problems have become extremely acute. How to correctly identify the factors affecting the logistics risk of the rail transit operation and maintenance system, evaluate the risk results and propose improved risk response strategies are important research topics in this field.
  • the researchers' research on supply chain risk mainly focuses on the fragility, uncertainty factors, operation interruption, etc. of the supply chain, and then summarizes the research focus of supply chain risk factors in environmental risk, demand risk, interruption risk, policy risk, etc. .
  • Risk assessment is the most challenging work in risk management, mainly using scoring method, semi-quantitative method, frequency domain analysis method, etc. Identification of risk factors such as supply chain network disruption, endogenous and exogenous risks, profit distribution risk, etc., risk assessment methods such as principal-agent, Bayesian network, fuzzy comprehensive evaluation, coefficient of variation, etc.
  • qualitative research methods are more and quantitative methods are insufficient.
  • the analysis of logistics supply chain risk in rail transit operation and maintenance system cannot meet the needs of rail transit operation and maintenance risk management.
  • the technical problem to be solved by the present invention is to overcome the deficiencies of the prior art and provide a logistics supply chain risk identification and assessment method that can comprehensively assess the operational risk of the logistics supply chain of the rail transit operation and maintenance system.
  • the technical solution adopted in the present invention is: a method for identifying and evaluating the risk of rail transit operation and maintenance logistics supply chain, comprising the following steps: S01, the weight analysis of the AHP method, using the analytic hierarchy process, and inputting the relevant data according to the judgment of the manager, will calculate the efficiency, quality, cost, service level and Trust the relative weights of the five risk factors, respectively a, b, c, d, and e, where the sum of the five relative weights is 1; 502, the weight analysis process of the ANP method,; calculated using the AHP method in five The weights of the four risk dimensions under the risk factor.
  • S02 specifically includes the following steps: Step 1: construct a judgment matrix of risk assessment dimensions and risk factors, calculate the eigenvector corresponding to the maximum eigenvalue of each judgment matrix, and perform normalization processing and consistency check. If the judgment matrix passes the consistency check, go to Step 2; if the judgment matrix fails the consistency check, go to Step 1 again; Step 2: Use the eigenvectors as the ranking vector of network risk factors to obtain ranking relative to other risk assessment factors Vector; Step 3: combine the ordering vectors of the mutual influence of all network layer risk assessment factors to obtain an unweighted supermatrix; Step 4: multiply the judgment matrix and the unweighted supermatrix to obtain a weighted supermatrix; Step 5: to reflect the risk Evaluate the dependence and feedback relationship between the factors, and perform stability processing on the weighted supermatrix; Step 6: On the basis of the weighted supermatrix, calculate the final weights of each evaluation factor of the aviation logistics supply chain risk.
  • S01 the evaluation opinions of researchers and managers are obtained in the form of telephone interviews or face-to-face interviews.
  • market sensitivity, information drive, process integration and logistics network connectivity are regarded as the four dimensions under the risk factors of Guangxi aviation logistics supply chain.
  • the market sensitivity is measured by four risk factors: Completeness (CD), Satisfaction (Os), On Time Rate (FPR) and Operational Ability (0A).
  • the logistics network connectivity means connectivity in spatial structure, which is measured by three risk factors: the number of cities (NCN), the number of operating companies (NC), and the density (FD).
  • the present invention provides a method for identifying and evaluating the risk of a rail transit operation and maintenance logistics supply chain, which studies the risk identification and evaluation method of the logistics supply chain of the rail transit operation and maintenance system from an overall perspective, and can provide an effective method for identifying and evaluating the risk of the rail transit operation and maintenance system.
  • Systematic logistics supply chain operation risk assessment can improve the operation ability and operation competitiveness of rail transit operation and maintenance enterprises.
  • Analytic Hierarchy Process AHP
  • ANP Analytic Hierarchy Process
  • the present invention uses the AHP method to solve the weights of the risk assessment factors with an independent relationship, and uses the ANP method to solve the weights of the risk factors with an interdependent relationship.
  • the specific process is as follows.
  • Step 1 construct a judgment matrix of risk assessment dimensions and risk factors, calculate the eigenvector corresponding to the maximum eigenvalue of each judgment matrix, and perform normalization processing and consistency check. If the judgment matrix passes the consistency check, go to step 2; if the judgment matrix fails the consistency check, go to step 1 again.
  • Step 2 Take the feature vector as the ranking vector of network risk factors, and obtain the ranking vector relative to other risk assessment factors.
  • Step 3 Combine the ordered vectors of interactions of all network layer risk assessment factors to obtain an unweighted supermatrix.
  • Step 4 Multiply the judgment matrix and the unweighted supermatrix to obtain a weighted supermatrix.
  • Step 5 In order to reflect the dependence and feedback relationship between the risk assessment factors, the stability processing is performed on the weighted supermatrix.
  • Step 6 On the basis of the weighted super matrix, calculate the final weights of each assessment factor of logistics supply chain risk.

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  • Business, Economics & Management (AREA)
  • Engineering & Computer Science (AREA)
  • Economics (AREA)
  • Strategic Management (AREA)
  • Entrepreneurship & Innovation (AREA)
  • Human Resources & Organizations (AREA)
  • Quality & Reliability (AREA)
  • Operations Research (AREA)
  • Marketing (AREA)
  • Development Economics (AREA)
  • Tourism & Hospitality (AREA)
  • Physics & Mathematics (AREA)
  • General Business, Economics & Management (AREA)
  • General Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Educational Administration (AREA)
  • Game Theory and Decision Science (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

L'invention concerne un procédé d'identification et d'évaluation des risques de chaîne d'approvisionnement en logistique d'exploitation et d'entretien de transport ferroviaire, comprenant les étapes suivantes : S01: dans l'analyse de pondération AHP, utiliser un processus de hiérarchie analytique et entrer des données pertinentes selon l'opinion d'évaluation d'un gestionnaire pour calculer les poids relatifs des cinq facteurs de risque d'efficacité, de qualité, de coût, de niveau de service, et de confiance, respectivement a, b, c, d et e, dans les objectifs globaux pour l'identification et l'évaluation du risque de chaîne d'approvisionnement en logistique d'un système d'exploitation et de maintenance de transport ferroviaire, le total des cinq poids relatifs étant de 1; et S02 : pendant l'analyse de pondération ANP, utiliser le procédé ANP pour calculer les poids de quatre dimensions de risque sous les cinq facteurs de risque. Le présent procédé étudie complètement le risque de chaîne d'approvisionnement en logistique d'un système d'exploitation et de maintenance de transport ferroviaire pour évaluer le risque et peut ainsi améliorer la capacité de gestion d'exploitation et de maintenance et la compétitivité d'exploitation et de maintenance d'une société exploitante.
PCT/CN2020/112713 2020-08-31 2020-08-31 Procédé d'identification et d'évaluation des risques de chaîne d'approvisionnement en logistique d'exploitation et d'entretien de transport ferroviaire WO2022041267A1 (fr)

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PCT/CN2020/112713 WO2022041267A1 (fr) 2020-08-31 2020-08-31 Procédé d'identification et d'évaluation des risques de chaîne d'approvisionnement en logistique d'exploitation et d'entretien de transport ferroviaire

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PCT/CN2020/112713 WO2022041267A1 (fr) 2020-08-31 2020-08-31 Procédé d'identification et d'évaluation des risques de chaîne d'approvisionnement en logistique d'exploitation et d'entretien de transport ferroviaire

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Cited By (6)

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CN114386884A (zh) * 2022-03-24 2022-04-22 广东电网有限责任公司东莞供电局 一种电网调度运行精益化评价方法
CN114693156A (zh) * 2022-04-18 2022-07-01 辽宁科技大学 基于anp-灰色定权聚类的露天矿安全风险评价方法
CN114936786A (zh) * 2022-06-07 2022-08-23 中交机电工程局有限公司 一种公路交通能源自洽系统综合效能评价方法
CN115081918A (zh) * 2022-07-07 2022-09-20 北京交通大学 基于数据驱动的轨道交通风险点预测方法及系统
CN115231410A (zh) * 2022-07-22 2022-10-25 成都市旭永升机电设备有限公司 一种基于智能化的电梯定期维护维保监测管理云系统
CN115577960A (zh) * 2022-10-25 2023-01-06 北京思维实创科技有限公司 一种城市轨道交通线网设备动态服务水平评估方法及装置

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CN111177649A (zh) * 2019-12-11 2020-05-19 交通运输部水运科学研究所 一种基于大数据融合的船载包装货物运输风险评估方法

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Cited By (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN114386884A (zh) * 2022-03-24 2022-04-22 广东电网有限责任公司东莞供电局 一种电网调度运行精益化评价方法
CN114693156A (zh) * 2022-04-18 2022-07-01 辽宁科技大学 基于anp-灰色定权聚类的露天矿安全风险评价方法
CN114693156B (zh) * 2022-04-18 2024-09-13 辽宁科技大学 基于anp-灰色定权聚类的露天矿安全风险评价方法
CN114936786A (zh) * 2022-06-07 2022-08-23 中交机电工程局有限公司 一种公路交通能源自洽系统综合效能评价方法
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CN115081918A (zh) * 2022-07-07 2022-09-20 北京交通大学 基于数据驱动的轨道交通风险点预测方法及系统
CN115231410A (zh) * 2022-07-22 2022-10-25 成都市旭永升机电设备有限公司 一种基于智能化的电梯定期维护维保监测管理云系统
CN115577960A (zh) * 2022-10-25 2023-01-06 北京思维实创科技有限公司 一种城市轨道交通线网设备动态服务水平评估方法及装置
CN115577960B (zh) * 2022-10-25 2023-07-14 北京思维实创科技有限公司 一种城市轨道交通线网设备动态服务水平评估方法及装置

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