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Bioresource and Agricultural Engineering

Selected Works

Charles R. Hurburgh, Jr.

Articles 1 - 4 of 4

Full-Text Articles in Life Sciences

Certification And Source Verification In The Grain Handling Industry, Charles R. Hurburgh Jr. Oct 2013

Certification And Source Verification In The Grain Handling Industry, Charles R. Hurburgh Jr.

Charles R. Hurburgh, Jr.

Source verification (lot identity) is the ability to trace products from their initial components through a production and distribution system to an end user. Source verification is a documentation process that may also require product testing, special logistics, or other actions. Formal certification and audit is generally required. Grain markets have traditionally handled interchangeable average quality commodities. Biotechnology, safety/security concerns, and new consumer perceptions are converging to create a grain market need for source verification and the associated quality management certification systems. Iowa State has assisted a large grain firm with the application of quality management systems, product tracing ...


Traceability Activities In The United States And The Trace Project, Maitri Thakur, Charles R. Hurburgh Jr. Oct 2013

Traceability Activities In The United States And The Trace Project, Maitri Thakur, Charles R. Hurburgh Jr.

Charles R. Hurburgh, Jr.

No abstract provided.


Variation Of Physical Properties In Gravity Separated Soybeans, Alan D. Gaul, Manjit K. Misra, Carl J. Bern, Charles R. Hurburgh Jr. Oct 2013

Variation Of Physical Properties In Gravity Separated Soybeans, Alan D. Gaul, Manjit K. Misra, Carl J. Bern, Charles R. Hurburgh Jr.

Charles R. Hurburgh, Jr.

Experiments were conducted to study the physical characteristics of soybeans sorted by a gravity separator. The sorted fractions differed significantly (P<0.05) in seed size as well as in seed mass. No significant differences (P>0.05) in seed specific gravity of the various fractions were found due to the high correlation between seed mass and seed volume. The lightest fraction had significantly (P<0.05) lower bulk density and was significantly (P<0.05) more brittle than the remainder of the seedlot.


Using Mock Recall Data To Measure Continuous Quality Improvement, Gretchen A. Mosher, Chad M. Laux, Charles R. Hurburgh Jr. Oct 2013

Using Mock Recall Data To Measure Continuous Quality Improvement, Gretchen A. Mosher, Chad M. Laux, Charles R. Hurburgh Jr.

Charles R. Hurburgh, Jr.

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).