Method for product quality advanced planning of automobile industry

Abstract

The present invention discloses a method for product quality advanced planning of an automobile industry. An automobile industry product quality advanced planning published by AIAG such as feasibilityanalysis, project teams, project schedule plans, DFMEA, process flow diagrams, characteristic matrix diagrams, PFMEA, CP, MSA, SPC and the like in an APQP reference manual is associated when a new project is developed and changed. The method for product quality advanced planning of an automobile industry determines product features aiming at products and develop APQP basic information according to the product features, the APQP basic information is employed to realize automatic generation of related files such as feasibility analysis, DFMEA, process flow diagrams, characteristic matrix diagrams PFMEA, CP, MSA analysis plans, SPC research plans, operation instructions and the like so as to prompt enterprises to really and solidly perform requirement identification and analysis in the product quality advanced planning and improve an enterprise quality management level.

Description

technical field [0001] The invention relates to the technical field of intelligent software, in particular to a method for pre-planning product quality in the automobile industry. Background technique [0002] The AQuA Pro software of OMNEX in the prior art improves the production efficiency of documents including DFMEA, process flow chart, PFMEA, CP, and work instructions through internal preset industry experience information or as a template after the first input ; Its shortcoming is that the advanced product quality planning of the automotive industry released by AIAG, that is, many items required in the APQP reference manual, including feasibility analysis, project team, project schedule, characteristic matrix, MSA, and SPC are not included. ; did not allow enterprises to truly implement the identification of customers, regulations, and internal product requirements of the enterprise in the early stage and improve the quality management level of the enterprise; less int...

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Problems solved by technology

[0002] The AQuA Pro software of OMNEX in the prior art improves the production efficiency of documents including DFMEA, process flow chart, PFMEA, CP, and work instructions through internal preset industry experience information or as a template after the first input ; Its shortcoming is that the advanced product quality planning of the automotive industry released by AIAG, that is, many items required in the APQP reference manual, including feasibility analysis, project team, project schedule, characteristic matrix, MSA, and SPC are not included. ; did not allow enterprises to truly implement the identification of customers, regulations, and internal product requirements of the enterprise in the early stage and improve the quality management level of the enterprise; less integration into the concept of system error prevention to prevent personnel negligence and reduce dependence on personnel experience, not too high artificial intelligence

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