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USING DATA REPLICATION TECHNIQUES TO MAINTAIN DATA CONSISTENCY IN SUPPLY CHAIN APPLICATIONS

机译:使用数据复制技术维护供应链应用中的数据一致性

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Supply chain applications typically involve sharing of large amounts of information across a number of partner organizations. Examples of supply chain applications are common in manufacturing, healthcare and global trade. Such applications can involve a large number of partners in different locations with various levels of connectivity, ranging from high-speed Internet to unreliable and slow dial-up connections. Maintaining data consistency in supply chain applications is an essential requirement as the loss of data consistency results in poor quality and unreliable information. Current supply chain applications mostly rely on EDI (Electronic Data Interchange) or similar electronic messaging standards to ship data between partner organizations. In general, little attention is paid to ensuring that data remains consistent as it is propagated and updated along the supply chain. In this paper we first discuss the requirements for data consistency in supply chain applications and then briefly describe a data consistency management framework based on data replication. We use Freight Forwarding and Customs Brokerage (FFCB) applications examples to illustrate our discussion.
机译:供应链应用程序通常涉及在许多合作伙伴组织中分享大量信息。供应链应用的例子在制造,医疗保健和全球贸易中是常见的。此类应用程序可以涉及不同位置的大量合作伙伴,其具有各种级别的连接,从高速Internet到不可靠,拨号连接。在供应链应用中保持数据一致性是基本要求,因为数据一致性损失导致质量差和不可靠的信息。当前供应链应用主要依赖于EDI(电子数据交换)或类似的电子消息传递标准来运送合作伙伴组织之间的数据。一般而言,只要确保数据保持一致,因为它保持一致,因为它沿着供应链沿传播和更新。在本文中,我们首先讨论了供应链应用程序中数据一致性的要求,然后根据数据复制简要描述数据一致性管理框架。我们使用Freight转发和海关经纪(FFCB)应用程序示例来说明我们的讨论。

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