Application of Statistical Predictive Models for Field Failure and Cisco Testing Data (Big Data Source: Cisco)

<p>Cisco was interested in how field failure categories relate to manufacturing test failures to better predict the tests that should be performed on a product after a return by a customer and what tests will be failed by a product before and after a return by a customer based on what type of failure occurred in the field. A study was conducted on one product type and 5 years of field data and the associated test data were captured. For each combination of field failure, shipping status, test area result, and test area a statistical model of the population proportion was created. The 95% and 99% confidence intervals were found. The critical test areas and a ranking of the criticality of the test areas were arranged from the confidence intervals. These findings will reduce the time spent on unnecessary tests.</p>

Name thesis:degree_name

MS in Industrial Engineering

Discipline thesis:degree_discipline

Industrial and Manufacturing Engineering

Year dc:date.available

2017

Author dc:creator

• Carter, Alyssa M

Contributors dc:contributor

• Reza Pouraghabagher

Identifier

10.15368/theses.2017.58

OAI identifier oai:identifier

oai:digitalcommons.calpoly.edu:theses-2989