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Reengineering the order fulfillment process in supply chain networks: A multiagent information system approach.

机译：重新设计供应链网络中的订单履行流程：一种多代理信息系统方法。

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摘要

This thesis proposes a multi-agent information system (MAIS) approach improve the order fulfillment process (OFP) in supply chain networks (SCNs). An order fulfillment process starts with receiving orders from customers and ends with delivery of finished goods. The order fulfillment process is complex because it is composed of several activities, executed by different functional entities, and is heavily interdependent between tasks, resources and agents involved in the process. A supply chain network is a network of autonomous or semi-autonomous business entities that are involved, through upstream and downstream linkages, in the different process and activities that produce goods or services to customers. As manufacturing practice is shifting toward the out-sourcing paradigm, the OFP is more likely to be executed throughout SCNs. It becomes imperative to integrate the OFP into SCNs to improve the OFP. Generalizing from the variety and complexity of SCNs, this study identifies several main types of SCN structures, and addresses OFP issues based on these SCNs.; I propose a multi-agent information system (MAIS) methodology for reengineering the OFP in SCNs. Agents in the MAIS are distributed, autonomous, self-organized, interdependent, and adaptive. These properties make it suitable for modeling the OFP in a SCN-based enterprise. The MAIS serves two purposes: (1) to model the OFP in SCNs, and (2) to evaluate OFP performance by applying the proposed strategies. The objective of reengineering the OFP is to achieve agility of the process in terms of efficiency, flexibility, robustness and adaptability. A multi-agent simulation platform, called Swarm, is enhanced and applied for modeling the MAIS, and experiments are conducted to simulate the OFP in SCNs in a multi-agent environment.; The OFP in SCNs can be improved in various dimensions, such as OFP operations, SCN structures, the information infrastructure, and other related processes. Based on the Swarm simulation platform, I model the OFP in SCNs, simulate the OFP, and then evaluate the potential OFP improvement strategies to identify useful strategies for improving the OFP. The strategies I evaluated include (1) coordinating demand management policies, (2) information sharing strategies, (3) synchronizing material and capacity availability, (4) dynamic resource allocation, and (5) the combination of various strategies. These strategies are applied to a generic SCN to understand dynamic of the OFP affected by different strategies under various business environments. The results also shed light on identifying the main effects of various strategies on OFP performance. I also evaluated OFP performance using various strategies in three different SCNs representing three typical SCNs. The insights of utilizing various strategies in different SCNs help reengineer the OFP in SCNs.
机译：本文提出了一种多代理信息系统（MAIS）方法，以改善供应链网络（SCN）中的订单履行过程（OFP）。订单履行过程从接收客户的订单开始，到成品交付为止。订单履行过程很复杂，因为它由多个活动组成，由不同的功能实体执行，并且在流程中涉及的任务，资源和代理之间存在严重的相互依存关系。供应链网络是自治或半自治业务实体的网络，它们通过上游和下游链接参与为客户生产商品或服务的不同过程和活动。随着制造实践向外包范式转变，OFP更有可能在整个SCN中执行。必须将OFP集成到SCN中以改善OFP。从SCN的多样性和复杂性进行概括，本研究确定了SCN结构的几种主要类型，并基于这些SCN解决了OFP问题。我提出了一种用于在SCN中重新设计OFP的多主体信息系统（MAIS）方法。 MAIS中的代理是分布式的，自治的，自组织的，相互依赖的和自适应的。这些属性使其适合在基于SCN的企业中对OFP进行建模。 MAIS有两个目的：（1）对SCN中的OFP建模，以及（2）通过应用建议的策略来评估OFP性能。重新设计OFP的目的是在效率，灵活性，健壮性和适应性方面实现流程的敏捷性。增强了一个称为Swarm的多主体仿真平台，并将其应用于MAIS建模，并进行了实验以在多主体环境中模拟SCN中的OFP。 SCN中的OFP可以在各个方面进行改进，例如OFP操作，SCN结构，信息基础结构以及其他相关过程。我基于Swarm模拟平台，对SCN中的OFP进行了建模，对OFP进行了仿真，然后评估了潜在的OFP改进策略，从而确定了改进OFP的有用策略。我评估的策略包括（1）协调需求管理策略，（2）信息共享策略，（3）同步物料和产能可用性，（4）动态资源分配以及（5）各种策略的组合。将这些策略应用于通用SCN，以了解在各种业务环境下受不同策略影响的OFP的动态。该结果还有助于确定各种策略对OFP性能的主要影响。我还使用代表三种典型SCN的三个不同SCN中的各种策略评估了OFP性能。在不同的SCN中使用各种策略的见解有助于重新设计SCN中的OFP。

著录项

  • 作者

    Lin, Fu-Ren.;

  • 作者单位

    University of Illinois at Urbana-Champaign.;

  • 授予单位 University of Illinois at Urbana-Champaign.;
  • 学科 Business Administration General.; Engineering Industrial.; Computer Science.
  • 学位 Ph.D.
  • 年度 1996
  • 页码 222 p.
  • 总页数 222
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 贸易经济;一般工业技术;自动化技术、计算机技术;
  • 关键词

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