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They may be related to traumas during transport, to diseases, or to nutritional influences at the feedlot. In addition, defects are also introduced by processing. Therefore, defects measured in SIS-C can come from two sources: the cattle entering the plant and the process itself. If cattle entering the plant had standard defects, then monitoring the defects would monitor the process. A goal of SIS-C monitoring is to remove defects from both sources without distinguishing between them. One question to be answered is whether the effectiveness of CUSUM monitoring is influenced by the condition of the lot entering the plant.
The scientific bases of traditional meat inspection, SIS-C, and SIS-C/PQC are inadequate or nonexistent. However, FSIS now has access to data from its own studies and the experiences of the five pilot SIS-C plants, including chemical and heavy metal analysis, to design an improved system of inspection based on the proposed rule. • FSIS should regularly publish data in the scientific literature so that its work and conclusions can be scrutinized by peers and other experts outside the agency. The Wesson Study, for example, could have been submitted for publication in About this PDF file: This new digital representation of the original work has been recomposed from XML files created from the original paper book, not from the original typesetting files.
However, CUSUM cannot eliminate the need for adequate inspection and for microbiologic and toxicologic testing. The primary statistical considerations related to SIS-C involve three points: (1) the rationale supporting a change from Acceptable Quality level (AQL) scores to CUSUM for SIS-C; (2) the use of CUSUM for process control; and (3) the method of sampling for CUSUM Determinations. RATIONALE SUPPORTING THE CHANGE FROM AQL TO SIS The rationale for favoring SIS-C over traditional inspection came from AQL scores (see definitions in Appendix G), based on both traditional and SIS-C procedures.