INTEGRAL QUALITY OF FRESH TOMATO IN STORAGE CONDITIONS
https://doi.org/10.18619/2072-9146-2018-6-55-62
Abstract
Preservation of the quality of fresh products for companies engaged in the implementation of fresh fruit and vegetable products is an important task in managing supply chains in both transport and warehouse logistics. This work presents an estimate of the loss of quality of fresh tomato under the influence of various temperature regimes using an integral quality parameter. Integral quality parameter index consists of deviations of biochemical parameters (vitamin C, acidity, glucose and the sum of sugars) at the recommended storage temperature (plus 8°C) from the values of these the same indicators at temperatures different from it; the frequency of the participation of the indicators in the correlation dependences between the indices and the highest degree of correlation, estimated from the value of the Pearson coefficient. Using the QFD methodology, the relationship of consumer requirements with technical requirements for the quality of fresh tomato has been determined, and the parameters that have the greatest impact on quality have been established. Approbation of the parameter “integral quality” was carried out on the basis of the data of the experiment conducted in the Federal State Budgetary Scientific Institution North Caucasian Regional Research Institute of Horticulture and Viticulture (Krasnodar), on the influence of temperature regimes on the quality of tomato “Torbash” in the process of storage. The proposed model of quality forecasting can be recommended to companies selling fresh tomatoes, carrying out logistic activities in the supply chains of this vegetable production, and can also serve as a basis for assessing the quality of other fruit and vegetable products.
About the Authors
A. S. PikalevaRussian Federation
business analyst
350000, Krasnodar, Solnechnaya st., 15/5
N. V. Kiseleva
Russian Federation
PhD in Chemistry, associate professor, department of analytical chemistry
350000, Krasnodar, Stavropolskay st., 149
References
1. Ghezavati V. R., Hooshyar S., Tavakkoli-Moghaddam R. A Benders’ decomposition algorithm for optimizing distribution of perishable products considering postharvest biological behavior in agri-food supply chain: a case study of tomato // CEJOR. 2015.
2. Yang Tao, Yong Li, Ruiyun Zhou et al. Neuro-fuzzy modeling to predict physicochemical and microbiological parameters of partially dried cherry tomato during storage: effects on water activity, temperature and storage time // Journal of Food Science and Technology. 2016. №53(10).
3. Blackburn J., Scudder G. Supply Chain Strategies for Perishable Products: The Case of Fresh Produce // Production and Operations Management. 2009. №18(2).
4. Stepnova A.S. Analysis of the causes of losses and optimization of the system of control and quality management of fresh fruits and vegetables in large trading companies / A.S. Stepnova, N.V. Kiseleva / / Competitiveness in the global world: economy, science, technology. 2017. №2.
5. Priymak E.V. Application of the method QFD to improve product quality for bakery industry / E.V. Priymak, A.M. Mukhametshina, T.N. Shigabiev // Scientific notes of the Kazan state Academy of veterinary medicine of N.E. Bauman. 2011. P.99-100.
6. Milcic D., Borkovic J., Vucina A. Modification of the QFD method for determining newspaper characteristics // Tehnicki vjesnik. 2017. №3.
7. Hartono М., Santoso A., Prayogo D.N. How Kansei Ingineering, Kano and QFD can improve logistics services // International Journal of Technology. 2017.
8. Pikaleva A.S. TEMPERATURE DYNAMICS OF FRESH TOMATO QUALITY INDICATORS DURING STORAGE. Vegetable crops of Russia. 2018;(2):88-92. (In Russ.) https://doi.org/10.18619/2072-9146-2018-2-88-92
9. Vashukov Yu.A. QFD: Product and process development based on customer requirements and expectations: method. instructions / Yu.A. Vashukov, A.Ya. Dmitriev, T.A. Mitroshkina. Samara: Samar. state aerospace. univ., 2012. P.16-20.
10. Hamhanova D.N. The basics of qualimetry: proc.benefit. Ulan-Ude: VSGTU publishing House, 2003. P.86-88.
11. Kiseleva N.V. Forecasting the quality of imported products for large network retailers / N.V. Kiseleva, A.S. Stepnova // Financial Analytics: problems and solutions. 2015. №14 (248).
12. Kiseleva N.V. The concept of forecasting and quality formation of imported goods of the fresh category / N.V. Kiseleva, A.S. Stepnova // Logistics and supply chain management. 2016. №2 (73).
Review
For citations:
Pikaleva A.S., Kiseleva N.V. INTEGRAL QUALITY OF FRESH TOMATO IN STORAGE CONDITIONS. Vegetable crops of Russia. 2018;(6):55-62. (In Russ.) https://doi.org/10.18619/2072-9146-2018-6-55-62