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Analysis of Temperatures in the Cold Storage of Finished Products

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EN
Abstrakty
EN
The analysis of temperatures in the cold store of finished products was performed due to the occurrence of temperature fluctuations. The analysis in the report was conducted using Kruskal-Wallis test, Bartlett test, Nemenyi’s test Statistical analysis of measured values in individual months. The relationship between the temperature in the cold store and the outside air temperature was investigated. Quality tools were also used in the thesis. The causes of temperature fluctuations were determined by Cause-Effect diagnostics. The relationship between the main causes was analyzed with Relation Diagram. Corrective measures were then determined to minimize the temperature fluctuations in the cold store.
Twórcy
  • Technical University of Košice, Faculty BERG, Institute of Control and Informatization of Production Processes, Němcovej 3, 042 00 Košice, Slovak Republic
  • Technical University of Košice, Faculty BERG, Institute of Control and Informatization of Production Processes, Němcovej 3, 042 00 Košice, Slovak Republic
autor
  • Technical University of Košice, Faculty BERG, Institute of Control and Informatization of Production Processes, Němcovej 3, 042 00 Košice, Slovak Republic
Bibliografia
  • 1. Dale, B.G. et al. Managing Quality. Wiley-Blackwell, 5th ed, 2007, 357–359.
  • 2. Campbell, G.S. Measurement of air temperature fluctuations with thermocouples, Report, Defense Technical Information Center, 1969. doi: https:// doi.org/10.21236/ad0697107
  • 3. Corder, G.W., Foreman, D.I. Nonparametric Statistics for Non-Statisticians. Hoboken: John Wiley & Sons, 2009, 99–105.
  • 4. Gunst, F.R., Hess, J.: Statistical design and analysis of experiments: with applications to engineering and science. Wiley. pp. 98.
  • 5. Hollander, M., Wolfe, D.A. Chicken E. Nonparametric Statistical Methods. Wiley, Chichester, (3nd ed.), 2013.
  • 6. Kazanskaya, T. L. Effect of periodical air temperature fluctuations on thermal stability of constant-temperature chambers, Measurement Techniques, 16(3), 1973, 387–389. doi: https://doi.org/10.1007/ bf00812736
  • 7. Kruskal, W.H., Wallis, W.A. Use of ranks in one-criterion variance analysis. Journal of the American Statistical Association, 47(260), 1952, 583–621. doi: 10.1080/01621459.1952.10483441.
  • 8. Kruskal, W.H. Test using SPSS Statistics, Laerd Statistics. URL: https://statistics.laerd.com/spss-tutorials/kruskal-wallis-h-test-using-spss-statistics.php
  • 9. Kumar, N., Jha, A. Temperature excursion management: A novel approach of quality system in pharmaceutical industry, Saudi Pharmaceutical Journal, 25(2), 2017, 176–183. doi: https://doi. org/10.1016/j.jsps.2016.07.001
  • 10. Mercier, S., Villeneuve, S., Mondor, M., Uysal, I. Time–Temperature Management Along the Food Cold Chain: A Review of Recent Developments. In: Comprehensive Reviews in Food Science and Food Safety, 16(4), 2017, 647–667. doi: https:// doi.org/10.1111/1541–4337.12269
  • 11. Nancy R. Tague’s The Quality Toolbox, Second Edition, ASQ Quality Press, 2004, 444–446
  • 12. Nemenyi, P.B. Distribution-free Multiple Comparisons. PhD thesis, Princeton University, 1963.
  • 13. Ning, X.F., Li, H., Kang, T.H., Han, Ch.S. Storage Characteristics of Low Temperature Grain Warehouse using Ambient Cold Air in Winter, Journal of Biosystems Engineering, 37(3), 2012, 184–191. doi: https://doi.org/10.5307/jbe.2012.37.3.184
  • 14. NIST/SEMATECH e-Handbook of Statistical Methods. Available online, URL: http://www.itl. nist.gov/div898/handbook/eda/section3/eda357. htm. Retrieved July 31, 2018.
  • 15. Porras-Amores, C., Mazarrón, F.R., Cañas, I. Study of the Vertical Distribution of Air Temperature in Warehouses, Energies, 7, 2014, 1193–1206. doi:10.3390/en7031193.
  • 16. Reid, D.S., Perez A.L. The effect of average storage temperature, and temperature fluctuation on the rate of moisture migration in a model frozen food. 13th World Congress of Food Science & Technology, IUFoST 2006, EDP Sciences, 2006. doi: 10.1051/IUFoST:20060151
  • 17. Siegel, C. Nonparametric Statistics for the Behavioral Sciences (2nd ed.). New York: McGraw–Hill. 1988.
  • 18. Snedecor, W.G., Cochran, W.G.A. Statistical Methods (8th ed.). Ames: Iowa. Blackwell Publishing Professional, 1989.
  • 19. Xia, Q.B. The Food Warehouse Temperature Measurement System Design Based on Microcontroller, Applied Mechanics and Materials, Vol. 416–417, 2013,1043–1048, doi: https://doi.org/10.4028/ www.scientific.net/ AMM.416–417.1043.
Uwagi
Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2019).
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Bibliografia
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