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A plan refinement framework for improving process plans interactively and iteratively.

机译：一个计划改进框架，用于以交互方式和迭代方式改进流程计划。

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摘要

Most existing approaches to computer aided process planning aim for full automation by searching for a plan that is optimal with respect to a pre-specified objective function. Such full automation is often infeasible in practice for three reasons: (i) the search space of potential plans is huge, (ii) optimality metrics are often context sensitive and can only be elicited through user interaction, (iii) organizations are more interested in process planning assistance that supports human expert process planners rather than stand-alone process planners due to the importance of process planning. In this dissertation, a replanning framework which helps the human process planning experts to develop process plans is presented. In order to achieve this, the process planner's assistant must have access to the full search space of process plans and the ability to modify plans in response to human criticisms. The former is provided by basing the system on the Arizona State University Features Testbed, a comprehensive and systematic framework for recognizing and reasoning with features in machinable parts. To support plan modification, the system is equipped with an iterative and interactive search mechanism. The operational details of the resultant system, called Arizona State University Process Planning Assistance, are discussed.
机译：现有的大多数计算机辅助过程计划方法都旨在通过搜索相对于预先指定的目标函数而言最佳的计划来实现全自动化。这种完全自动化在实践中通常不可行，原因有以下三个：（i）潜在计划的搜索空间很大，（ii）优化指标通常是上下文相关的，只能通过用户交互来获得，（iii）组织对以下内容更感兴趣由于过程计划的重要性，它为人类专家过程计划者而不是独立的过程计划者提供了过程计划帮助。本文提出了一个重新计划框架，该框架可以帮助人类过程计划专家制定过程计划。为了实现这一目标，过程计划者的助手必须能够访问过程计划的整个搜索空间，并具有响应人类批评而修改计划的能力。前者是通过将系统建立在亚利桑那州立大学特征测试平台上而提供的，该平台是用于识别和推理可加工零件特征的全面而系统的框架。为了支持计划修改，该系统配备了迭代和交互式搜索机制。讨论了所得系统称为亚利桑那州立大学过程计划协助的系统的操作细节。

著录项

  • 作者

    Li, Xiaomin.;

  • 作者单位

    Arizona State University.;

  • 授予单位 Arizona State University.;
  • 学科 Computer Science.
  • 学位 Ph.D.
  • 年度 2001
  • 页码 119 p.
  • 总页数 119
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 自动化技术、计算机技术;
  • 关键词

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