Document Type
Article
Publication Date
5-1-2016
Publication Title
Procedia CIRP
Publisher
Elsevier
Abstract
Assembly represents a significant fraction of overall manufacturing time and total manufacturing cost in the automotive industry. With increasing product complexity and variety, humans remain a cost effective solution to meet the needs of flexible manufacturing systems. This element necessitates a better understanding of the human role in manufacturing complexity. Presented herein is a framework for enumerating assembly variables correlated with the potential for quality defects, presented in the design, process, and human factors domain. A case study is offered that illustrates a method to identify variables and their effect on assembly quality for a manual assembly process.
Recommended Citation
Krugh, Matthew; Antani, Kavit; Mears, Laine; and Schulte, Jörg, "Statistical Modeling of Defect Propensity in Manual Assembly as Applied to Automotive Electrical Connectors" (2016). Publications. 10.
https://tigerprints.clemson.edu/auto_eng_pub/10