[论文解读] Traceability as an integral part of supply chain logistics management: an analytical review

Dharmendra K. Mishra, Sébastien Henry+2 more|arXiv (Cornell University)|Nov 6, 2018

Food Supply Chain Traceability参考文献 7被引用 5

一句话总结

本文提出了一种整合性可追溯性模型，结合物流管理和供应链可视化，以解决多利益相关方供应链中的协作、数据对齐和隐私挑战。该研究识别出现有可追溯性系统中的关键缺口，并倡导建立统一的元模型，以增强全球供应链网络中的透明度、安全性和互操作性。

ABSTRACT

Purpose: Supply chain has become very complex today. There are multiple stakeholders at various points. All these stakeholders need to collaborate with each other in multiple directions for its effective and efficient management. The manufacturers need proper information and data about the product location, its processing history, raw materials, etc at each point so as to control the production process. Companies need to develop global and effective strategies to sustain in the competitive market. Logistics helps companies to implement the effectiveness across the business supply chain from source to destination to achieve their strategic goals. Traceability has become one of the integrated parts of the supply chain logistics management that track and trace the product's information in upstream and downstream at each point. All the stakeholders in the supply chain have different objectives to implement the traceability solution that depends on their role (e.g. manufacturers, distributers or wholesalers have their own role). The information generated and needed from all these actors are also different and are to be shared among all to run the supply chain smoothly. But the stakeholders don't want to share all the information with other stake holders which is a major challenge to be addressed in current traceability solutions. The purpose of this research is to conduct thorough study of the literatures available on the traceability solutions, finding the gaps and recommending our views to enhance the collaborations among the stakeholders in every point of the business supply chain. The study will be helpful for further researchers to propose a traceability meta-model to address the gaps. Design/methodology/approach: The relevant literatures with keywords supply chain management, traceability, logistics management are searched from the trusted database. The scope and the objectives of the research is set based on which the papers are filtered as per the titles and abstract. Proper analyses of the screened papers are done and the recommendations are given. Findings: Traceability solution is popular among the industries since a long for their supply chain management. After proper analysis of the available literatures about the traceability solution the industries use, this research will identify the gaps based on which we give the proper recommendations and perspectives of our work.

研究动机与目标

• 分析现有供应链可追溯性与物流管理文献，识别系统性缺口。
• 解决因信任缺失和数据孤岛导致的利益相关方之间信息共享有限的问题。
• 提出一种将可追溯性与物流管理统一的整合模型，以提升供应链敏捷性与控制力。
• 为未来研究开发标准化、隐私保护型可追溯性元模型提供支持。
• 通过将可追溯性与核心物流流程（如订单处理、质量控制和仓储）对齐，提升供应链整体效能。

提出的方法

• 使用‘供应链管理’、‘可追溯性’和‘物流管理’等关键词，从可信数据库进行系统性文献综述。
• 根据标题和摘要对文献进行筛选和过滤，聚焦于供应链背景下可追溯性解决方案的研究。
• 分析选定研究，识别利益相关方协作、数据标准化和系统互操作性方面的重复性挑战。
• 开发一个概念性整合性可追溯性模型，将可追溯性与物流流程（订单处理、质量控制、仓储、配送）相连接。
• 提出一个框架，支持在供应链各节点之间实现追踪（下游位置）和追溯（上游历史）功能。
• 强调标准化数据格式和隐私保护机制的必要性，以实现安全的信息交换。

实验结果

研究问题

• RQ1 如何有效将可追溯性整合到物流管理中，以提升供应链可见性和控制力？
• RQ2 供应链利益相关方之间信息共享的主要障碍是什么？如何克服这些障碍？
• RQ3 如何在不同利益相关方使用的多样化可追溯性系统之间实现数据对齐与系统互操作性？
• RQ4 隐私与数据安全在多大程度上限制了全球可追溯性解决方案的采用？
• RQ5 为构建一个支持复杂供应链中追踪与追溯功能的统一可追溯性元模型，需要哪些设计原则？

主要发现

• 可追溯性是供应链物流中的关键但尚未被充分优化的组成部分，通常仅出于合规要求而实施，而非战略需求。
• 供应链中的利益相关方同时持有公开数据和私有数据，但因信任缺失和竞争顾虑而拒绝共享私有数据，严重阻碍了有效协作。
• 缺乏标准化数据格式以及组织间可追溯性系统不兼容，导致严重的数据对齐与集成问题。
• 中小企业（SMEs）通常依赖纸质系统，给数字可追溯性和实时数据交换造成重大障碍。
• 主要挑战在于平衡透明度与数据隐私，尤其是在全球供应链中，贸易伙伴之间可能互不相识或缺乏信任。
• 将可追溯性与物流管理流程（如订单处理、质量控制和仓储）整合的模型，对于实现供应链敏捷性与效能至关重要。