淡江大學機構典藏:Item 987654321/55557
English  |  正體中文  |  简体中文  |  全文笔数/总笔数 : 62805/95882 (66%)
造访人次 : 3994283      在线人数 : 284
RC Version 7.0 © Powered By DSPACE, MIT. Enhanced by NTU Library & TKU Library IR team.
搜寻范围 查询小技巧:
  • 您可在西文检索词汇前后加上"双引号",以获取较精准的检索结果
  • 若欲以作者姓名搜寻,建议至进阶搜寻限定作者字段,可获得较完整数据
  • 进阶搜寻


    jsp.display-item.identifier=請使用永久網址來引用或連結此文件: https://tkuir.lib.tku.edu.tw/dspace/handle/987654321/55557


    题名: A CPM-Based bidirectional approach for Type-I assembly line balancing problem
    其它题名: 第一類型組裝線平衡問題之雙向要徑啟發式演算法
    作者: 高秀學;葉丁鴻
    贡献者: 淡江大學企業管理學系
    关键词: assembly line balancing problem;heuristic;critical path method;bidirectional
    日期: 2008-11
    上传时间: 2011-08-23 01:06:18 (UTC+8)
    出版者: 中國工業工程學會
    摘要: In this paper we consider the so-called type-I assembly line balancing problem (ALBP-I), in which the objective is to minimize the number of workstations needed for a given cycle time. ALBP-I is one of the well-known NP-hard problems in operations management, and many optimal approaches (including 0-1 integer programming model, branch and bound algorithm, dynamic programming model, etc.) have been developed during the past decades. However, all optimal approaches share the disadvantage of being computationally inefficient in solving large-scale problems, and which makes heuristics a necessity in practice. We propose in this paper a new approach, based on the recently proposed bidirectional heuristic and the critical path method (CPM) of project management, to resolve the issue of task assignment for ALBP-I. A numerical example is given for illustration, and several sample problems are solved to show the effectiveness of the proposed approach.
    關聯: Journal of the Chinese Institute of Industrial Engineers=工業工程學刊 25(6), pp.481-487
    DOI: 10.1080/10170660809509110
    显示于类别:[企業管理學系暨研究所] 期刊論文

    文件中的档案:

    档案 大小格式浏览次数
    index.html0KbHTML239检视/开启

    在機構典藏中所有的数据项都受到原著作权保护.

    TAIR相关文章

    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library & TKU Library IR teams. Copyright ©   - 回馈