首页    期刊浏览 2024年12月05日 星期四
登录注册

文章基本信息

  • 标题:A multi attribute decision making method for selection of optimal assembly line
  • 本地全文:下载
  • 作者:B. Vijaya Ramnath C. Elanchezhian ; R. Kesavan
  • 期刊名称:Management Science Letters
  • 印刷版ISSN:1923-9335
  • 电子版ISSN:1923-9343
  • 出版年度:2011
  • 卷号:1
  • 期号:1
  • 页码:65-72
  • DOI:10.5267/j.msl.2010.01.003
  • 出版社:Growing Science
  • 摘要:With globalization, sweeping technological development, and increasing competition, customers are placing greater demands on manufacturers to increase quality, flexibility, on time delivery of product and less cost. Therefore, manufacturers must develop and maintain a high degree of coherence among competitive priorities, order winning criteria and improvement activities. Thus, the production managers are making an attempt to transform their organization by adopting familiar and beneficial management philosophies like cellular manufacturing (CM), lean manufacturing (LM), green manufacturing (GM), total quality management (TQM), agile manufacturing (AM), and just in time manufacturing (JIT). The main objective of this paper is to propose an optimal assembly method for an engine manufacturer’s assembly line in India. Currently, the Indian manufacturer is following traditional assembly method where the raw materials for assembly are kept along the sideways of conveyor line. It consumes more floor space, more work in process inventory, more operator's walking time and more operator's walking distance per day. In order to reduce the above mentioned wastes, lean kitting assembly is suggested by some managers. Another group of managers suggest JIT assembly as it consumes very less inventory cost compared to other types of assembly processes. Hence, a Multi-attribute decision making model namely analytical hierarchy process (AHP) is applied to analyse the alternative assembly methods based on various important factors
  • 关键词:Supply chain management; Analytical hierarchy process; Lean production; Lean kitting assembly; JIT assembly; Production planning
国家哲学社会科学文献中心版权所有