Intelligent Packaging and the Internet of Things in Brazilian Food Supply Chains: The Current State and Challenges

In developing countries, significant food losses occur during distribution. The use of technologies such as Intelligent Packaging (IP) and the Internet of Things (IoT) may provide improvements in controlling the distribution of food products, minimizing losses. This paper identifies the Brazilian food supply chains current technological state and their receptivity to the IP and IoT technologies adoption. The analysis was based on a survey with logistics professionals from the country’s largest food companies, which represent 75.3 % of this market (in sales). The results show that these companies do not currently use IP and that a few use what they consider to be IoT systems. Cost is the greatest barrier to the use of these technologies; however, the lack of knowledge about these technologies also represents a strong barrier to their use.

[1]  R. Lane,et al.  An overview of smart technology , 1997 .

[2]  Catherine Mulligan,et al.  From Machine-to-Machine to the Internet of Things - Introduction to a New Age of Intelligence , 2014 .

[3]  Frank Devlieghere,et al.  Intelligent food packaging: the next generation , 2014 .

[4]  Renata Dobrucka,et al.  Active And Intelligent Packaging Food – Research And Development – A Review , 2014 .

[5]  J. Kerry,et al.  Past, current and potential utilisation of active and intelligent packaging systems for meat and muscle-based products: A review. , 2006, Meat science.

[6]  José Holguín-Veras,et al.  An Investigation on the Effectiveness of Joint Receiver–Carrier Policies to Increase Truck Traffic in the Off-peak Hours , 2007 .

[7]  Steven F. Schilthuizen.  Communication with your packaging: possibilities for intelligent functions and identification methods in packaging , 1999 .

[8]  Pablo Cortés,et al.  Modelling peak-hour urban freight movements with limited data availability , 2010, Comput. Ind. Eng..

[9]  Damith Chinthana Ranasinghe,et al.  Adding sense to the Internet of Things , 2011, Personal and Ubiquitous Computing.

[10]  P. V. Bartels,et al.  A non-destructive ammonium detection method as indicator for freshness for packed fish: Application on cod , 2012 .

[11]  Bruce A. Welt,et al.  Methods for Detecting Botulinum Toxin with Applicability to Screening Foods Against Biological Terrorist Attacks , 2005 .

[12]  Paul Takhistov,et al.  Intelligent Packaging: Concepts and Applications , 2005 .

[13]  Agostino Nuzzolo,et al.  Urban Freight Transport Demand: Transferability of Survey Results Analysis and Models , 2012 .

[14]  Anurag Agarwal,et al.  The Internet of Things—A survey of topics and trends , 2015, Inf. Syst. Frontiers.

[15]  V. Agarwal,et al.  The intelligent product driven supply chain , 2002, IEEE International Conference on Systems, Man and Cybernetics.

[16]  Tony Wong,et al.  Causality assignment using multi-objective evolutionary algorithms , 2002, IEEE International Conference on Systems, Man and Cybernetics.

[17]  Earl R. Babbie,et al.  Survey Research Methods , 1984 .

[18]  P. Paseiro Losada,et al.  Active and intelligent packaging: applications and regulatory aspects , 2002, Food additives and contaminants.

[19]  Paul Tobback,et al.  Active and intelligent food packaging: legal aspects and safety concerns , 2008 .