Customer demand is a constantly changing variable that suppliers must be able to accommodate to stay in business. Being able to properly assess the output of a process is key to determining capability. The focus of this paper is to determine and improve the quality level of a headliner manufacturing line using statistical quality control tools. It will analyze observational data to determine whether the process is in control and measure the capability of the process to meet an increased demand. QC tools such as control charts, analysis of variance (ANOVA) and Pareto analysis will be used as the means for collecting and analyzing data, measuring the results and then identifying root causes. These tools will then be used to identify how to improve the process to meet the demand.
Introducing Statistical Process Control Techniques into a Headliner Subassembly Process
2 Views
2 Downloads