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Development of a knowledge-based system for material handling equipment selection

机译:开发基于知识的物料搬运设备选择系统

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摘要

Well designed handling systems are crucial for reduced costs and increased profits. A vital part of the material handling system design process is the selection and configuration of material handling equipment. The equipment selection problem involves a number of factors many of which require subjective assessment as they are difficult to quantify.;This thesis describes a knowledge-based approach for addressing the major factors that influence material handling equipment selection. The compilation of the knowledge base from a review of traditional checklists and published literature is discussed. A prototype knowledge-based system that addresses over 30 equipment types for intra- and inter-departmental movement of discrete parts in a manufacturing facility is described. Useful features of the consultation system designed to aid industrial engineers in a more thorough evaluation of the material handling task and equipment possibilities are described and system enhancements are discussed.
机译:精心设计的搬运系统对于降低成本和增加利润至关重要。物料搬运系统设计过程中至关重要的部分是物料搬运设备的选择和配置。设备选择问题涉及许多因素,其中许多由于难以量化而需要主观评估。;本文描述了一种基于知识的方法来解决影响物料搬运设备选择的主要因素。讨论了从对传统清单和已发表文献的评论中总结出的知识库。描述了一种基于知识的原型系统,该系统可解决30多种设备类型的问题,以在制造工厂中实现离散零件的部门内和部门间移动。咨询系统的有用功能旨在帮助工业工程师更全面地评估物料搬运任务和设备可能性,并讨论系统增强功能。

著录项

  • 作者

    Swaminathan, Sundar Raman.;

  • 作者单位

    The University of Alabama.;

  • 授予单位 The University of Alabama.;
  • 学科 Industrial engineering.
  • 学位 M.S.
  • 年度 1990
  • 页码 252 p.
  • 总页数 252
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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