Combined deterministic and stochastic approaches for modeling the evolution of food products along the cold chain. Part I: Methodology

• Published in: International journal of refrigeration Vol. 35; no. 4; pp. 907 - 914
• Main Authors: Flick, D., Hoang, H.M., Alvarez, G., Laguerre, O.
• Format: Journal Article
• Language: English
• Published: Kidlington Elsevier Ltd 01.06.2012; Elsevier
• Subjects: Applied sciences; chaîne du froid; Chilled food; Cold chain; Energy; Energy. Thermal use of fuels; Exact sciences and technology; Heat transfer; Life Sciences; Logistics; logistique; produit alimentaire réfrigéré; Refrigerating engineering; Refrigerating engineering. Cryogenics. Food conservation; Refrigerating equipment; Techniques. Materials; Theoretical studies. Data and constants. Metering; transfert de chaleur; équipement frigorifique; transfert de chaleur; équipement frigorifique; Cold chain; Refrigerating equipment; produit alimentaire réfrigéré; Chilled food; chaîne du froid; Heat transfer; logistique; Logistics; Refrigeration equipment; Refrigeration installation; Temperature; Methodology; Refrigerator; Foodstuff; Algorithm; Modeling; Operating conditions; Water content
• ISSN: 0140-7007; 1879-2081
• DOI: 10.1016/j.ijrefrig.2011.12.010

Many deterministic models have been developed to describe heat transfer in the cold chain and to predict the thermal and microbial evolution of food products. However, different product items will have different evolutions because of the variability of logistic supply chain, equipment design and operating conditions, etc. The objective of this study is to propose a general methodology to predict the evolution of food products and its variability along a cold chain. This evolution is characterized by state variables such as temperature, water content, microbial load, etc. The methodology, presented in part I, is based on deterministic models for equipment and on stochastic laws for different sources of randomness. A Monte-Carlo algorithm is proposed for solving the model equations. The approach will be applied for the three last links of the cold chain: display cabinet, shopping basket and domestic refrigerator in part II of this study. ► A methodology to predict food products evolution along cold chain is proposed. ► Stochastic laws are applied for different sources of randomness. ► Cold chain links are described by deterministic models.