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Leveraging the supply chain flexibility of third party logistics - hybrid knowledge-based system approach

机译:充分利用第三方物流的供应链灵活性-基于混合知识的系统方法

摘要

Nowadays, intensified globalization and consequent competitive pressures have reemphasized the importance of third party logistics (3PL) in managing logistics processes as well as customer and supplier relationships within the supply chain management (SCM). However, 3PL providers and their upstream and downstream parties within the whole chain have usually interacted as disconnected entities in the logistics performance management process. Despite the increased interest in using and improving logistics information systems, the number of researchers investigating the design and implementation of this process in close detail is still very small. This paper proposes an intelligent performance measurement system (K-LPMS) for measuring the performance of 3PL providers and their upstream and downstream supply chain partners. With the help of K-LPMS, 3PL providers are capable to fulfil different customer's supply chain service requirement through accessing the capability of each SC partners and reconfigure SC network. This paper describes the structure of K-LPMS and its features. The results of testing and applying the tool in companies are presented. This paper concludes by discussing the implications of this research for managers, and identifying directions for future research.
机译:如今,全球化的加剧和随之而来的竞争压力再次强调了第三方物流(3PL)在管理物流流程以及供应链管理(SCM)中客户与供应商关系方面的重要性。但是,整个物流链中的3PL提供者及其上游和下游方通常在物流绩效管理过程中作为相互独立的实体进行交互。尽管人们对使用和改进物流信息系统的兴趣日益浓厚,但对这一过程的设计和实施进行详细研究的研究人员仍然很少。本文提出了一种智能绩效评估系统(K-LPMS),用于评估3PL供应商及其上游和下游供应链合作伙伴的绩效。借助K-LPMS,3PL提供商可以通过访问每个SC合作伙伴的能力并重新配置SC网络来满足不同客户的供应链服务要求。本文介绍了K-LPMS的结构及其功能。介绍了在公司中测试和应用该工具的结果。本文最后通过讨论这项研究对管理人员的意义以及确定未来研究的方向进行总结。

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