Abstract #M142
Section: Dairy Foods (posters)
Session: Dairy Foods III
Format: Poster
Day/Time: Monday 7:30 AM–9:30 AM
Location: Exhibit Hall A
Session: Dairy Foods III
Format: Poster
Day/Time: Monday 7:30 AM–9:30 AM
Location: Exhibit Hall A
# M142
Management tools for monitoring milk quality in dairy industries.
V. M. Araújo1, A. H. N. Rangel*2, S. B. P. Barbosa1, A. M. V. Batista1, J. G. B. Galvão Jr.3, 1Universidade Federal Rural de Pernambuco, Recife, PE, Brazil, 2Universidade Federal do Rio Grande do Norte, Macaíba, RN, Brazil, 3Instituto Federal de Educação, Ciência e Tecnologia do Rio Grande do Norte, Ipanguaçu, RN, Brazil.
Key Words: process capability, control chart, statistical process control
Management tools for monitoring milk quality in dairy industries.
V. M. Araújo1, A. H. N. Rangel*2, S. B. P. Barbosa1, A. M. V. Batista1, J. G. B. Galvão Jr.3, 1Universidade Federal Rural de Pernambuco, Recife, PE, Brazil, 2Universidade Federal do Rio Grande do Norte, Macaíba, RN, Brazil, 3Instituto Federal de Educação, Ciência e Tecnologia do Rio Grande do Norte, Ipanguaçu, RN, Brazil.
This study aimed to evaluate the capability index (Cpk) and the charts of the statistical process control (SPC) as quality management tools for somatic cell counts (SCC) and total bacterial count (TBC) of raw refrigerated milk supplied to industries. The data were obtained from milk samples collected monthly from tanks for 36 mo from 5 dairy industries. Data transformations were performed for logarithmic scale, somatic cell score (SCS) and transformed bacterial count (tTBC). The capability index was obtained by equation Cpk = MIN (LSE – μ/3σ; μ – LIE/3σ), and the center line (CL) and the upper (UCL) and lower (LCL) control limits, both distant to 3σ standard deviations from the center line, were calculated from the data of the variables from each industry over time to investigate the potential of control charts in detecting special causes of variation for monitoring the SCS and the tTBC. The maximum and minimum limits considered were 500,000 and 400,000 cells/mL and 300,000 and 100,000 cfu/mL for SCC and TBC, respectively. Only one industry presented an acceptable process or was able to meet the established specifications for SCS and tTBC (1 ≤ Cpk ≤ 1.33). The control charts for the 5 industries indicated the presence of special causes (intermittent) in the variation of the processes for both variables (SCS and tTBC). The results highlight how industries need to improve their processes in order for their milk suppliers to meet quality standards. Therefore, the Cpk index and the SPC charts are viable tools for detecting violations in quality standards for the SCC and TBC of refrigerated raw milk supplied to industries.
Key Words: process capability, control chart, statistical process control