An enterprise network model for understanding and disrupting illicit counterfeit electronic part supply chains
An enterprise network model for understanding and disrupting illicit counterfeit electronic part supply chains
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DOI：
10.1080/24725854.2023.2172631
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发表时间：
2023-03
影响因子：
2.6
通讯作者：
Hirbod Akhavantaheri;P. Sandborn;Diganta Das
中科院分区：
文献类型：
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作者：
Hirbod Akhavantaheri;P. Sandborn;Diganta Das
摘要本文分析了电子零件行业中几种有希望的政策，以阻止假冒电子零件的流动。为便利政策分析，开发了一个社会技术电子零件供应链网络模型。该模型用于理解与将伪造电子元件插入关键系统（例如，航空航天、运输、国防和基础设施），并分析各种防伪政策和做法的影响。这个网络模型被用来评估强制性的原始组件制造商回购计划和发现提供假冒组件的分销商的禁令的有效性。在这种基于代理的模型中，供应链中的每个参与者都被建模为一个独立的实体，由自己的动机和约束。模型中的实体包括原始组件制造商、分销商、系统集成商、运营商和伪造者。这些实体中的每一个都具有动态行为和与其他代理的连接。由于时间是一个不可或缺的因素（交货时间和库存水平可能是假冒产品出现背后的驱动因素），因此模拟是动态的。该模型允许预测伪造品进入运营商系统的风险以及相关供应链事件/中断与伪造品出现之间的时间长度。
Abstract This article analyses several promising policies in the electronic parts industry for disrupting the flow of counterfeit electronic parts. A socio-technical electronic part supply-chain network model has been developed to facilitate policy analysis. The model is used to understand the technical and social dynamics associated with the insertion of counterfeit electronic components into critical systems (e.g., aerospace, transportation, defense, and infrastructure) and to analyze the impact of various anti-counterfeiting policies and practices. This network model is used to assess the effectiveness of mandatory original component manufacturer buyback programs and the debarment of distributors found to provide counterfeit components. In this agent-based model, each participant in the supply chain is modeled as an independent entity governed by its own motivations and constraints. The entities in the model include the original component manufacturers, distributors, system integrators, operators, and counterfeiters. Each of these entities has dynamic behaviors and connections to the other agents. Since time is an integral factor (lead times and inventory levels can be drivers behind the appearance of counterfeits), the simulation is dynamic. The model allows the prediction of the risk of counterfeits making it into an operator’s system and the length of time between relevant supply-chain events/disruptions and the appearance of counterfeits.