The intelligent container as a part of the Internet of Things

Perishables need special conditions within the food supply chain like temperature or humidity. There is a lack of information along the food supply chain (FSC) concerning temperatures for perishable goods. By integrating the Intelligent Container (IC) within the Internet of Things the lack of information will be eliminated and thus wastes of food will be reduced. The first step for this integration is to analyze common techniques in modeling supply chains and especially the FSC and create a model taking into consideration the concept of the IC. On this basis, technologies to generate information along the FSC are shown and the IC is linked to the Internet of Things. Finally, a logistic reference model will be deduced from the Internet of Things for perishables.

[1]  Rainer Laur,et al.  Intelligent Containers and Sensor Networks Approaches to apply Autonomous Cooperation on Systems with limited Resources , 2007 .

[2]  Jacques H. Trienekens,et al.  Process modelling in demand-driven supply chains: A reference model for the fruit industry , 2010 .

[3]  Markus Krüger,et al.  Kühlketten lückenlos online überwachen - Intelligente Sendungsverfolgung schließt Lücke bei unternehmensübergreifenden Transportprozessen , 2007, Internet der Dinge.

[4]  K. Windt,et al.  Catalogue of Criteria for Autonomous Control in Logistics , 2007 .

[5]  Katja Windt,et al.  Changing Paradigms in Logistics — Understanding the Shift from Conventional Control to Autonomous Cooperation and Control , 2007 .

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

[7]  Reiner Jedermann Autonome Sensorsysteme in der Transport- und Lebensmittellogistik , 2009 .

[8]  Friedemann Mattern,et al.  Das Internet der Dinge: Ubiquitous Computing und RFID in der Praxis:Visionen, Technologien, Anwendungen, Handlungsanleitungen , 2005 .

[9]  Frédéric Thiesse,et al.  Sensor Applications in the Supply Chain: The Example of Quality-Based Issuing of Perishables , 2008, IOT.

[10]  S. Hoekstra,et al.  Integral Logistic Structures: Developing Customer-Oriented Goods Flow , 1992 .

[11]  J. Gustavsson Global food losses and food waste , 2011 .

[12]  Jesus René Villalobos,et al.  Application of planning models in the agri-food supply chain: A review , 2009, Eur. J. Oper. Res..

[13]  Elgar Fleisch,et al.  Simulation Study on the Effect of Sensor Information in Supply Chains of Perishable Goods , 2009 .

[14]  Thomas Noël,et al.  Active Networks for IPv6 Communication Redirection , 2000, MATA.

[15]  Friedemann Mattern,et al.  From the Internet of Computers to the Internet of Things , 2010, From Active Data Management to Event-Based Systems and More.

[16]  Walter Lang,et al.  The “Intelligent Container”—A Cognitive Sensor Network for Transport Management , 2011, IEEE Sensors Journal.

[17]  B. Scholz-Reiter,et al.  Autonomous Control and the Internet of Things : Increasing Robustness, Scalability and Agility in Logistic Networks , 2011 .

[18]  Daniel Thiel,et al.  System dynamics modeling and simulation of a particular food supply chain , 2000, Simul. Pract. Theory.

[19]  Walter Lang,et al.  Spatial temperature profiling by semi-passive RFID loggers for perishable food transportation , 2009 .

[20]  Christos Koulamas,et al.  Experimental evaluation of a WSN platform power consumption , 2009, 2009 IEEE International Symposium on Parallel & Distributed Processing.

[21]  K. Windt,et al.  Allocation Flexibility-A New Flexibility Type as an Enabler for Autonomous Control in Production Logistics , 2008 .

[22]  J. Parfitt,et al.  Food waste within food supply chains: quantification and potential for change to 2050 , 2010, Philosophical Transactions of the Royal Society B: Biological Sciences.