Analytical methods to support continuous improvements at Scania
Analytical methods to support continuous improvements at Scania
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DOI：
10.1080/00207540802538039
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发表时间：
2010-01-01
影响因子：
9.2
通讯作者：
Tolio, T.
中科院分区：
文献类型：
--
作者：
Colledani, M.;Ekvall, M.;Tolio, T.
公司通常会付出相当大的努力来确保其制造系统的竞争力。这使得持续改进成为生产管理活动的中心议题。较少关注推动改进的方法以及定义和选择行动的方式。在文献中，分析模型和仿真是最广泛使用的工具，制造系统的性能评估和改进。在实践中，主要基于经验的简单方法似乎是面对这一问题的最佳折衷办法。在Politecnico di Milano（Milano，意大利）、Kungliga Tekniska hogskolan（斯德哥尔摩，瑞典）和Scania CV AB（Sodertalje，瑞典）在欧洲卓越网络VRL-KCiP内的合作项目中，我们提出了一种基于分析方法的新方法，以支持公司通过重新配置来提高制造系统的生产率。这种方法的应用斯堪尼亚六缸发动机缸体加工线，使一个显着的产量增加，通过分析选择最合适的改进措施。
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 hogskolan ( Stockholm, Sweden) and Scania CV AB (Sodertalje, 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.