在汽车涂装工艺中,由于车身漆面缺陷种类、位置、数量等因素的随机性造成缺陷返修工艺的不确定,导致检查、返修难以准确地核算工时,制约了后续的人员优化及效率的提升。本文利用大数据的方法追踪缺陷信息,对检查、返修工艺进行模块化、标准化,结合MTM方法核定检查返修工时,指导后续的人员优化及效率的提升。

The workload calculation of inspection and repair process is the most difficult due to the randomness of defects in the automobile painting workshop.The lack of workload data restricts personnel optimization and efficiency improvement.This paper proposes a new method to calculate the workload of inspection and repair process.The author introduced the method of decomposition the process into smaller standardized models.The work time of the standardized models are calculated under the assistance of MTM and input of defect information.Afterwards,workload of every position are available and used to guide the personnel optimization and efficiency improvement.