2026-09-19T15:03:22Zhttps://dspace.mit.edu/server/oai/requestoai:dspace.mit.edu:1721.1/707992026-06-06T01:05:04Zcom_1721.1_7582com_1721.1_7581col_1721.1_131023
Nancy Leveson.
Helferich, John D
Massachusetts Institute of Technology. Engineering Systems Division.
System Design and Management Program.
Massachusetts Institute of Technology. Engineering Systems Division
2012-05-15T21:13:24Z
2012-05-15T21:13:24Z
2011
2011
http://hdl.handle.net/1721.1/70799
792882734
Thesis (S.M. in Engineering and Management)--Massachusetts Institute of Technology, Engineering Systems Division, 2011.
Cataloged from PDF version of thesis.
Includes bibliographical references (p. 62-68).
Food borne illnesses lead to 3000 deaths per year in the United States. Some industries, such as aviation, have made great strides increasing safety through careful accident analysis leading to changes in industry practices. In the food industry, the current methods of accident analysis are grounded in regulations developed when the food industry was far simpler than today. The food industry has become more complex with international supply chains and a consumer desire for fresher food. This thesis demonstrates that application of a system theoretic accident analysis method, CAST, results in more learning than the current method of accident analysis. This increased learning will lead to improved safety performance in the food production system.
by John D. Helferich.
S.M. in Engineering and Management
68 p.
eng
Massachusetts Institute of Technology
M.I.T. theses are protected by
copyright. They may be viewed from this source for any purpose, but
reproduction or distribution in any format is prohibited without written
permission. See provided URL for inquiries about permission.
http://dspace.mit.edu/handle/1721.1/7582
Engineering Systems Division.
System Design and Management Program.
A systems approach to food accident analysis
Thesis
application/pdf
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Publication
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<Abstract>Food borne illnesses lead to 3000 deaths per year in the United States. Some industries, such as aviation, have made great strides increasing safety through careful accident analysis leading to changes in industry practices. In the food industry, the current methods of accident analysis are grounded in regulations developed when the food industry was far simpler than today. The food industry has become more complex with international supply chains and a consumer desire for fresher food. This thesis demonstrates that application of a system theoretic accident analysis method, CAST, results in more learning than the current method of accident analysis. This increased learning will lead to improved safety performance in the food production system.</Abstract>
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