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Development of a supplier segmentation method for increased resilience and robustness: A study using agent based modeling and simulation

机译：开发供应商细分方法以提高弹性和健壮性：使用基于代理的建模和仿真的研究

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摘要

Supply chain management is a complex process requiring the coordination of numerous decisions in the attempt to balance often-conflicting objectives such as quality, cost, and on-time delivery. To meet these and other objectives, a focal company must develop organized systems for establishing and managing its supplier relationships. A reliable, decision-support tool is needed for selecting the best procurement strategy for each supplier, given knowledge of the existing sourcing environment. Supplier segmentation is a well-established and resource-efficient tool used to identify procurement strategies for groups of suppliers with similar characteristics. However, the existing methods of segmentation generally select strategies that optimize performance during normal operating conditions, and do not explicitly consider the effects of the chosen strategy on the supply chain's ability to respond to disruption. As a supply chain expands in complexity and scale, its exposure to sources of major disruption like natural disasters, labor strikes, and changing government regulations also increases. With increased exposure to disruption, it becomes necessary for supply chains to build in resilience and robustness in the attempt to guard against these types of events. This work argues that the potential impacts of disruption should be considered during the establishment of day-to-day procurement strategy, and not solely in the development of posterior action plans. In this work, a case study of a laser printer supply chain is used as a context for studying the effects of different supplier segmentation methods. The system is examined using agentbased modeling and simulation with the objective of measuring disruption impact, given a set of initial conditions. Through insights gained in examination of the results, this work seeks to derive a set of improved rules for segmentation procedure whereby the best strategy for resilience and robustness for any supplier can be identified given a set of the observable supplier characteristics.
机译：供应链管理是一个复杂的过程，需要协调众多决策，以平衡质量，成本和按时交付等经常相互冲突的目标。为了实现这些目标和其他目标，重点公司必须开发用于建立和管理其供应商关系的有组织的系统。在了解现有采购环境的前提下，需要一个可靠的决策支持工具来为每个供应商选择最佳的采购策略。供应商细分是一种完善的资源节约型工具，用于为具有相似特征的一组供应商确定采购策略。但是，现有的细分方法通常会选择可在正常操作条件下优化性能的策略，而没有明确考虑所选策略对供应链响应中断能力的影响。随着供应链的复杂性和规模不断扩大，其面对自然灾害，劳工罢工和不断变化的政府法规等重大破坏源的风险也不断增加。随着遭受破坏的风险增加，供应链有必要增强抵御能力和健壮性，以防范此类事件。这项工作认为，在制定日常采购策略时应考虑到干扰的潜在影响，而不仅仅是在制定后继行动计划时要考虑。在这项工作中，以激光打印机供应链的案例研究为背景，研究了不同供应商细分方法的效果。该系统使用基于代理的建模和仿真进行检查，目的是在给定一组初始条件的情况下测量中断影响。通过对结果进行检查获得的见解，这项工作力求得出一套改进的细分程序规则，从而在给定一组可观察到的供应商特征的情况下，可以确定任何供应商的弹性和稳健性的最佳策略。

著录项

  • 作者

    Brown, Adam J.;

  • 作者单位

    University of Kentucky.;

  • 授予单位 University of Kentucky.;
  • 学科 Mechanical engineering.;Industrial engineering.;Management.
  • 学位 Ph.D.
  • 年度 2017
  • 页码 225 p.
  • 总页数 225
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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