基于数字商业生态系统的冻虾溯源系统分析与设计

Taufik Djatna, Aditia Ginantaka
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引用次数: 6

摘要

可追溯系统是物流信息系统和供应链风险管理中最关键的要求之一,对全球食品安全和质量保证至关重要。来自生产过程早期阶段的实时文档支持双向跟踪过程。提出了一种基于数字商业生态系统(DBE)模型的冻虾溯源系统的分析与设计。业务流程模型符号(BPMN 2.0)是分析任务的主要工具,用于在DBE的每一层的可跟踪单元之间捕获和传输数据处理。业务流程分析有助于将捕获步骤理解为这种可跟踪系统中的主要元素。分析结果展示了可追溯系统如何在涉及分散利益相关者的数字商业生态系统中发挥作用。利益相关者使用数字物种隐喻提供了向数字系统的手动数据转换。采用Relief法计算因子分析需求,选择最重要的属性进行捕获。结果表明,该系统能够较好地预测水体盐度及相关孵化场参数的变化,其中以种鱼ID为关键码。目前的结果表明,应用程序已准备好转移到现实世界的操作。
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An analysis and design of frozen shrimp traceability system based on digital business ecosystem
Traceability system is one of the most critical requirements in logistic information systems and the supply chain risk management for both global food safety and quality assurance. Realtime documentation from the earlier stages of production process enabled the two way process of traceability. This paper presented an analysis and design for traceability system of frozen Vanname shrimp based on digital business ecosystems (DBE) model. Business Process Model Notation (BPMN 2.0) was the primary tool in analyzing the task for capturing and transferring data processing between traceable units in each layer of DBE. Business process analysis helped to understand the capturing steps as the main element within such traceability system. The results of the analysis showcased how traceability system work in digital business ecosystem which involved on dispersed stakeholders. Manual data transformation to the digital system was provided by stakeholders using digital species metaphors. The requirement for factor analysis was computed with Relief method to select the most important attribute to capture. Our evaluation showed that the proposed system was able for estimating water salinity and related hatchery parameters changing, such as broodstock ID which utilized as key code. Current results showed the readiness of application to transfer into real world operation.
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