Cold chain tracking: a managerial perspective

Most food products are perishable and their shelf life can be greatly affected by temperature conditions in the supply chain: time/temperature control becomes a critical issue in fresh food logistics, and the efficient and effective tracking of cold chain conditions is one of the main points to be addressed. Technical and managerial solutions are available in order to achieve this objective, but no methodologies exist to select the most suitable solution. By comparing two main approaches, this paper proposes structured frameworks to identify the most appropriate managerial solution to be adopted in order to minimise the logistics cost.

[1]  K Koutsoumanis,et al.  Development and assessment of an intelligent shelf life decision system for quality optimization of the food chill chain. , 2001, Journal of food protection.

[2]  K Koutsoumanis,et al.  Application of a systematic experimental procedure to develop a microbial model for rapid fish shelf life predictions. , 2000, International journal of food microbiology.

[3]  R. Paul Singh,et al.  A QUALITY‐BASED INVENTORY ISSUE POLICY FOR PERISHABLE FOODS , 1989 .

[4]  Stephen J. Fallows,et al.  White Paper on food safety , 2000 .

[5]  K Koutsoumanis,et al.  Application of shelf life decision system (SLDS) to marine cultured fish quality. , 2002, International journal of food microbiology.

[6]  Konstantinos P. Koutsoumanis,et al.  Applicability of an Arrhenius Model for the Combined Effect of Temperature and CO2 Packaging on the Spoilage Microflora of Fish , 2000, Applied and Environmental Microbiology.

[7]  F. Billiard New developments in the cold chain: specific issues in warm countries , 2003 .

[8]  T. Becker,et al.  Consumer perception of fresh meat quality: a framework for analysis , 2000 .

[9]  Rodolfo M. Nayga,et al.  A cold chain network for food exports to developing countries , 2003 .

[10]  Frank Devlieghere,et al.  Growth of Listeria monocytogenes in modified atmosphere packed cooked meat products: a predictive model , 2001 .

[11]  A H Geeraerd,et al.  Shelf life of modified atmosphere packed cooked meat products: addition of Na-lactate as a fourth shelf life determinative factor in a model and product validation. , 2000, International journal of food microbiology.

[12]  Mojca Jevšnik,et al.  Cold chain maintaining in food trade , 2006 .

[13]  K. Koutsoumanis,et al.  Predictive Modeling of the Shelf Life of Fish under Nonisothermal Conditions , 2001, Applied and Environmental Microbiology.

[14]  F Devlieghere,et al.  Shelf life of modified atmosphere packed cooked meat products: a predictive model. , 1999, International journal of food microbiology.

[15]  T. Moe,et al.  Perspectives on traceability in food manufacture , 1998 .

[16]  M. Sarhadi,et al.  Tracking and traceability in the meat processing industry: a solution , 2002 .