Scholarlink

Minimizing process variation to enhance quality is crucial for the success of manufacturing enterprises in the competitive global market (Du et al. in Comput Ind 59:180–192, 2008 [1]). While statistical process control (SPC) is extensively employed to monitor process variation across various applications (Du et al. in Int J Prod Res 50:6288–6310, 2012 [2]; Du and Lv in Int J Prod Econ 141:377–387, 2013 [3];Du et al. in Comput Ind Eng 66:683–695, 2013 [4]), it is not designed to analyze the propagation of variation within manufacturing processes. The production of complex workpieces involves numerous machining stages, and as workpieces progress through these stages, variations in their characteristics are introduced.

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Modeling and Management of Variation Propagation

  • 章节

  • 发表日期：

    2025年

查看全文
  • Shichang Du,
  • Lifeng Xi

摘要

Minimizing process variation to enhance quality is crucial for the success of manufacturing enterprises in the competitive global market (Du et al. in Comput Ind 59:180–192, 2008 [1]). While statistical process control (SPC) is extensively employed to monitor process variation across various applications (Du et al. in Int J Prod Res 50:6288–6310, 2012 [2]; Du and Lv in Int J Prod Econ 141:377–387, 2013 [3];Du et al. in Comput Ind Eng 66:683–695, 2013 [4]), it is not designed to analyze the propagation of variation within manufacturing processes. The production of complex workpieces involves numerous machining stages, and as workpieces progress through these stages, variations in their characteristics are introduced.