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首页> 外文期刊>Journal of information systems >A Survey of Privacy-Aware Supply Chain Collaboration: From Theory to Applications
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A Survey of Privacy-Aware Supply Chain Collaboration: From Theory to Applications

机译：感知隐私的供应链协作研究：从理论到应用

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摘要

In the contemporary information era, the ubiquitous collection of data from different parties frequently accommodates significant mutual benefits to the involved participants. However, data is a double-bladed sword. Inappropriate access or use of data by the recipients may pose serious privacy issues that explicitly harm the data owners. In the past decade, swiftly increasing privacy concerns arise in many business processes such as supply chain management. How to protect the private information of different participants in the supply chain has become a key multidisciplinary research problem in information systems, production and operations management, computer science, and mathematics. Specifically, in the real world, manufacturers, distributors, and retailers commonly collaborate with each other to cater to the demands of supplying and marketing. In their traditional cooperation, all the parties completely share their proprietary information so as to jointly optimize their operations (e.g., maximize their profit or minimize their cost). Now, they realize that completely sharing such information would bring considerable negative impact to themselves. For overcoming this, some recent research results begin to make the following ideal occasion possible-all the participants collaboratively solve a realistic problem without revealing any private proprietary information to each other. In this paper, we primarily review the literature on the applications of privacy-preserving techniques to supply chain collaboration among multiple parties. We first identify various private proprietary information required in the supply chain collaboration, and discuss several potential privacy-preserving techniques. Then, we review the relevant research results from theory to applications. Since intensive collaboration in modern supply chains opens even more opportunities in both academia and industry, we finally outline the future research trend and the potential challenges in this promising area.
机译：在当代信息时代，来自不同方的无处不在的数据收集经常为参与的参与者带来重大的互惠互利。但是，数据是一把双刃剑。收件人对数据的不当访问或使用可能会造成严重的隐私问题，从而明显损害数据所有者。在过去的十年中，在许多业务流程中（例如供应链管理），人们对隐私的关注迅速增加。如何保护供应链中不同参与者的私人信息已成为信息系统，生产和运营管理，计算机科学和数学中的一个关键的多学科研究问题。具体而言，在现实世界中，制造商，分销商和零售商通常会相互配合以满足供销需求。在传统合作中，所有各方都完全共享其专有信息，以便共同优化其运营（例如，最大限度地提高利润或降低成本）。现在，他们意识到完全共享此类信息将给自己带来相当大的负面影响。为了克服这个问题，一些最新的研究结果开始使以下理想的情况成为可能-所有参与者共同解决一个现实问题，而又不会彼此透露任何私有信息。在本文中，我们主要回顾了有关隐私保护技术在多方之间的供应链协作中的应用的文献。我们首先确定供应链协作中所需的各种私人专有信息，然后讨论几种潜在的隐私保护技术。然后，我们回顾了从理论到应用的相关研究成果。由于现代供应链中的紧密合作为学术界和工业界都带来了更多的机会，因此我们最终概述了未来的研究趋势以及这一有前途的领域中的潜在挑战。

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