Application of engineering and management principles to improve cotton's position as a quality raw material

James L. Simonton, Mario G. Beruvides

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

In 2004, approximately 18.33 million bales of cotton were produced in the United States providing an estimated 400,000 jobs. One half of these bales will not be considered for use in high quality goods due largely to the inability to measure immature fiber content. The lack of a measurement technique creates a cost of quality problem and makes the problem unmanageable. The work resulted in the development of image analysis techniques that were used to create an operational definition of this defect. The research confirmed defects identified by image analysis were also identifiable as human visual defects by trained operators.

Original languageEnglish
Title of host publication26th Annual National Conference of the American Society for Engineering Management 2005 - Organizational Transformation
Subtitle of host publicationOpportunities and Challenges, ASEM 2005
Pages282-288
Number of pages7
StatePublished - 2005
Event26th Annual National Conference of the American Society for Engineering Management 2005 - Organizational Transformation: Opportunities and Challenges, ASEM 2005 - Virginia Beach, VA, United States
Duration: Oct 26 2005Oct 29 2005

Publication series

Name26th Annual National Conference of the American Society for Engineering Management 2005 - Organizational Transformation: Opportunities and Challenges, ASEM 2005

Conference

Conference26th Annual National Conference of the American Society for Engineering Management 2005 - Organizational Transformation: Opportunities and Challenges, ASEM 2005
Country/TerritoryUnited States
CityVirginia Beach, VA
Period10/26/0510/29/05

Fingerprint

Dive into the research topics of 'Application of engineering and management principles to improve cotton's position as a quality raw material'. Together they form a unique fingerprint.

Cite this