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Analytical methods to support continuous improvements at Scania

机译:支持Scania持续改进的分析方法

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摘要

Considerable effort is usually devoted by companies to ensure the competitiveness of their manufacturing systems. This makes continuous improvement a central topic in production management activities. Less attention is given to the methods that drive improvement and to the way actions are defined and selected. In the literature, analytical models and simulation are the most widely used tools for manufacturing systems' performance evaluation and improvement. In practice, simple approaches, mainly based on experience, seems to be the best compromise to face this problem. In a collaboration project between Politecnico di Milano (Milano, Italy), Kungliga Tekniska hoegskolan (Stockholm, Sweden) and Scania CV AB (Soedertaelje, Sweden) within the European Network of Excellence VRL-KCiP we proposed a new methodology, based on analytical methods, to support the company in manufacturing system productivity improvement through re-configuration. The application of this approach to the Scania six-cylinder engine-block machining line enabled a remarkable increment in throughput by selecting analytically the most suitable improvement actions.
机译:公司通常会付出巨大的努力来确保其制造系统的竞争力。这使持续改进成为生产管理活动的中心主题。对推动改进的方法以及动作的定义和选择方式的关注较少。在文献中,分析模型和仿真是用于制造系统性能评估和改进的最广泛使用的工具。实际上,主要基于经验的简单方法似乎是解决此问题的最佳折衷方法。在Politecnico di Milano(意大利米兰),Kungliga Tekniska hoegskolan(瑞典斯德哥尔摩)和Scania CV AB(瑞典Soedertaelje)之间的合作项目中,我们基于分析方法提出了一种新方法,该方法基于分析方法通过重新配置来支持公司提高制造系统的生产率。通过将这种方法应用于斯堪尼亚六缸发动机缸体加工线,可以通过分析选择最合适的改进措施来显着提高生产率。

著录项

  • 来源
    《International Journal of Production Research》 |2010年第8期|1913-1945|共33页
  • 作者单位

    Department of Mechanical Engineering, Manufacturing and Production Systems Division, Politecnico di Milano, 20156 Milano, Italy;

    Scania CV AB, SE-151 87 Soedertaelje, Sweden;

    Kungliga Tekniska hoegskolan, Design and Management of Manufacturing Systems, SE-100 44 Stockholm, Sweden;

    Department of Mechanical Engineering, Manufacturing and Production Systems Division, Politecnico di Milano, 20156 Milano, Italy;

    Department of Mechanical Engineering, Manufacturing and Production Systems Division, Politecnico di Milano, 20156 Milano, Italy;

    Department of Mechanical Engineering, Manufacturing and Production Systems Division, Politecnico di Milano, 20156 Milano, Italy;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    decomposition methods; performance evaluation; productivity improvements; buffer allocation; repair crew allocation;

    机译:分解方法;绩效评估;生产力的提高;缓冲区分配;维修人员分配;

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