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Using Mock Recall Data to Measure Continuous Quality Improvement
Agricultural and Biosystems Engineering Conference Proceedings and Presentations
  • Gretchen A. Mosher, Iowa State University
  • Chad M. Laux, Purdue University
  • Charles R. Hurburgh, Jr., Iowa State University
Document Type
Conference Proceeding
2009 ATMAE Conference
Publication Date
(38.2526647, -85.75845570000001)
Continuous quality improvement is essential to firms who wish to function within a global business environment. Strategic quality improvement is often facilitated through a formalized quality management system (West & Cianfrani, 2004). Quality management systems have been used for many years in industries such as manufacturing and health care to improve efficiencies and maintain high levels of customer satisfaction (Deming, 2000; Bowersox et al., 2007), but their use in processing industries such as food and agriculture is a more recent trend (Hurburgh & Lawrence, 2003). These systems provide a way for firms to focus on customer requirements and tighten their supply chains by clearly defining and controlling their operations and processes (West & Cianfrani, 2004).

The paper, "Using Mock Recall Data to Measure Continuous Quality Improvement" (Gretchen A. Mosher, Chad M. Laux and Charles R. Hurburgh, Jr.), as published in the Proceedings of the ATMAE 2009 Conference (2009 ATMAE Annual Conference, Louisville, KY, November 10–14, 2009)" is a copyrighted publication of ATMAE, the Association of Technology, Management, and Applied Engineering, 1390 Eisenhower Place, Ann Arbor, MI 48108 This paper has been republished with the authorization of ATMAE, and may be accessed directly from the ATMAE website at

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Citation Information
Gretchen A. Mosher, Chad M. Laux and Charles R. Hurburgh. "Using Mock Recall Data to Measure Continuous Quality Improvement" Louisville, KY(2009)
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