An Improving Approach for 6σ-Based Multi-Process Machining Environement

Guang Hui Zhou; Ben Wang; Zhong Dong Xiao; Ping Yu Jiang

doi:10.4028/www.scientific.net/AMR.314-316.2524

Paper Titles

Stress Analysis of the Working Device of Multi-Functional Excavator
p.2499

Modified Double EWMA Approach for Mixed Product Run-to-Run CMP Process Control
p.2504

Research on a New Technique of No Mark Overprint
p.2512

A Method of Speech Segregation in Noisy Environment
p.2518

An Improving Approach for 6σ-Based Multi-Process Machining Environement
p.2524

Processing Effect of Injection Molded Nanoparticle/Polymer Composites on their Resistivity
p.2531

Modeling and Analysis of End of Life Vehicles Recovery: an Enhanced IDEF0 Methodology (Part I)
p.2539

Modeling and Analysis of End of Life Vehicles Recovery: An Enhanced IDEF0 Methodology (Part II)
p.2543

Development of Acoustic System of Hexahedral Sapphire Abrasive Shock Machining
p.2547

HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 314-316An Improving Approach for 6σ-Based Multi-Process...

An Improving Approach for 6σ-Based Multi-Process Machining Environement

Abstract:

In the 6σ-based product quality management system, influencing factors of 5M1E (man, machine, material, method, measure and environment) are the key points to ensure the quality of products reach 6σ level. However, because the traditional quality control methods only focus on the factors of machine, material, method and measure but ignore the factors of man and environment and their relationship on product quality, the 6σ level objective of product quality cannot be implemented well. As such, this study proposes an improving approach for 6σ-based multi-process machining environment whose objective is to build the connection relationship and model among operating environment, workers and product quality. Through adjusting the values of operating environmental parameters, the behaviors of workers on machines can be controlled and the product quality can be improved. This study provides a new solution for 6σ-based product quality control and management.