TITLE

The Use of Control Charts to Monitor Raw Milk Quality and Udder Health at the Farm Level

AUTHOR(S)
ONACIU, Grigore; PENTELESCU, Ovidiu; JURCO, Eugen
PUB. DATE
July 2013
SOURCE
Bulletin of the University of Agricultural Sciences & Veterinary;2013, Vol. 70 Issue 2, p324
SOURCE TYPE
Academic Journal
DOC. TYPE
Article
ABSTRACT
Statistical Process Control (SPC) is a very well known tool used for years in different industries to measure variability of different parameters in order to take actions. Despite the fact that these methods are known, the use of them is not popular especially in food industry. Taking into account the fact that the use of these tools was not sufficient studied in literature it was decided to find out if these kinds of instruments can be also used in small farms. It was decided to use data from a small farm from three consecutive years and to apply a statistical process control tool in order to monitor raw milk quality and udder health. It was taking into account data from 2010, 2011 and 2012 like, milk quantity, quantity, fat and protein content but also the somatic cell count (SCC) and total number of germs (TNG). For the variability analysis was used a control chart called Exponentially Weighted Moving Average, which is typically for observation done individually at different time intervals. The used control chart provided insight into sampled data by displaying the level of normal and random variation by revealing the observations that indicate the real change. Control limits were calculated based on the data collected in a time frame called the "control period". The control limits in our study were based on data from January 2010 and December 2012, since there was no indication of special variation in that period and so the process appeared to be "in control". The variation in different quality parameters like fat was between 4,2%-4,5% in winter and 3,9%-4,1% in summer. The same was in case of milk protein who varied between 3,2% and 3,8%. The control charts upper limit was restricted due to legislation en force at 400.000 / ml for SCC and 100.000 / ml in the case of TNG. It can be concluded that monitoring individual raw milk using SPC charts will help dairy managers to identify changes, out of control situations and to take actions in order to keep the process between the established control limits.
ACCESSION #
91981507

 

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