Short-Run SPC for Manufacturing and Quality Professionals

面向制造与质量专业人员的短期 SPC

工业经济学

原   价:
437.5
售   价:
350.00
优惠
平台大促 低至8折优惠
发货周期:预计5-7周发货
作      者
出  版 社
出版时间
2022年09月07日
装      帧
平装
ISBN
9781032249896
复制
页      码
98
开      本
254 x 178 mm (7 x 10)
语      种
英文
版      次
1
综合评分
5 分
我 要 买
- +
库存 30 本
  • 图书详情
  • 目次
  • 买家须知
  • 书评(0)
  • 权威书评(1)
图书简介
On the manufacturing shop floor, the principle of "value comes from the production of parts rather than charts" crucially applies when using practical statistical process control (SPC). The production worker should need to enter only a sample’s measurements to get immediately actionable information as to whether corrective action (e.g., as defined by a control plan’s reaction plan) is necessary for an out-of-control situation, and should not have to perform any calculations, draw control charts, or use sophisticated statistical software. This book’s key benefit for readers consists of spreadsheet-deployable solutions with all the mathematical precision of a vernier along with the simplicity of a stone ax. Traditional SPC relies on the assumption that sufficient data are available with which to estimate the process parameters and set suitable control limits. Many practical applications involve, however, short production runs for which no process history is available. There are nonetheless tested and practical control methods such as PRE-Control and short-run SPC that use the product specifications to set appropriate limits. PRE-Control relies solely on the specification limits while short-run SPC starts with the assumption that the process is capable—that is, at least a 4-sigma process, and works from there to set control limits. Cumulative Sum (CUSUM) and exponentially weighted moving average (EWMA) charts also can be used for this purpose. Specialized charts can also track multiple part characteristics, and parts with different specifications, simultaneously. This is often useful, for example, where the same tool is engaged in mixed-model production. Readers will be able to deploy practical and simple control charts for production runs for which no prior history is available and control the processes until enough data accumulate to enable the traditional methods (assuming it ever does). They will be able to track multiple product features with
本书暂无推荐
看了又看
  • 上一个
  • 下一个