基于智能体模型的多层供应商选择策略对供应链弹性增强的评价

2016 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM) Pub Date : 2016-12-01 DOI:10.1109/IEEM.2016.7797849

S. Chen, K. Tai, Z. Li

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引用次数: 4

摘要

弹性评估和增强已成为当前供应链有效性的关键问题。本文提出了一种多层供应商选择策略来增强弹性，并提出了一种以客户服务水平为导向、以准时交货率为指标的弹性测量方法。设计了一个涉及主要供应商失效干扰的简单案例，并利用基于LeCas智能体的建模工具进行了仿真，比较了不同策略配置下供应链的有效性。结果表明，在上游中断期间，采用该政策的供应链比正常供应链更具弹性，可恢复性指数降低了10倍。它还显示了最大客户服务水平损失和恢复时间的显著下降。

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Evaluation of supply chain resilience enhancement with multi-tier supplier selection policy using agent-based modeling

Resilience evaluation and enhancement has become a vital issue concerning the effectiveness of a current supply chain. This research paper proposes a multi-tier supplier selection policy for resilience enhancement as well as a customer-service-level oriented resilience measurement approach using on-time delivery rate as the indicator. A simple case study involving main supplier failure disturbance is designed and simulated with LeCas agent-based modelling tool to compare the efficacy of supply chains with various policy configuration. Results demonstrate that supply chain which adopts the proposed policy is more resilient than normal supply chain during an upstream disruption, with a reduction in recoverability index by a factor of 10. It also shows a significant decline in both maximum customer service level loss and recovery time.

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2016 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)

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