统计过程控制（SPC）涉及统计技术和/或统计或随机控制的使用 实现以下一个或多个目标的算法: a)增加关于过程的知识； b)引导过程以期望的方式进行； c)减少最终产品参数的变化，或以其他方式改善过程的性能。 这些指南给出了实施SPC系统以实现这些目标的要素。共同的 统计过程控制的经济目标是增加给定数量的良好过程输出 资源投入。 注1通过控制工艺参数或过程中产品参数的变化，SPC运行效率最高 其与最终产品参数相关；和/或通过增加工艺对这种变化的稳健性。A 供应商的最终产品参数可以是下一下游供应商工艺的工艺参数。 注2虽然SPC涉及制成品，但也适用于生产服务或 交易（例如，涉及数据、通信、软件或材料移动的交易）。 ISO 11462的这一部分规定了SPC系统使用指南 _当供应商减少与设计或生产相关的过程变化的能力需要 证明或改进；或 _当供应商开始实施SPC以实现此类能力时。 这些指南不适用于合同、监管或认证。

Statistical process control (SPC) concerns the use of statistical techniques and/or statistical or stochastic control algorithms to achieve one or more of the following objectives: a) to increase knowledge about a process; b) to steer a process to behave in the desired way; c) to reduce variation of final-product parameters, or in other ways improve performance of a process. These guidelines give the elements for implementing an SPC system to achieve these objectives. The common economic objective of statistical process control is to increase good process outputs produced for a given amount of resource inputs. NOTE 1 SPC operates most efficiently by controlling variation of a process parameter or an in-process product parameter that is correlated with a final-product parameter; and/or by increasing the process's robustness against this variation. A supplier's final-product parameter may be a process parameter to the next downstream supplier's process. NOTE 2 Although SPC is concerned with manufactured goods, it is also applicable to processes producing services or transactions (for example, those involving data, communications, software, or movement of materials). This part of ISO 11462 specifies SPC system guidelines for use _ when a supplier's capability to reduce variation in processes associated with design or production needs to be proven or improved; or _ when a supplier is beginning SPC implementation to achieve such capability. These guidelines are not intended for contractual, regulatory or certification use.