Virtualization of food supply chains with the internet of things

Internet technologies allow supply chains to use virtualizations dynamically in operational management processes. This will improve support for food companies in dealing with perishable products, unpredictable supply variations and stringent food safety and sustainability requirements. Virtualization enables supply chain actors to monitor, control, plan and optimize business processes remotely and in real-time through the Internet, based on virtual objects instead of observation on-site. This paper analyses the concept of virtual food supply chains from an Internet of Things perspective and proposes an architecture to implement enabling information systems. As a proof of concept, the architecture is applied to a case study of a fish supply chain. These developments are expected to establish a basis for virtual supply chain optimization, simulation and decision support based on on-line operational data. In the Internet of Things food supply chains can become self-adaptive systems in which smart objects operate, decide and learn autonomously.

[1]  R. Yin Case Study Research: Design and Methods , 1984 .

[2]  Kevin Crowston,et al.  Virtuality and Virtualization: IFIP Working Groups 8.2 on Information Systems and Organizations and 9.5 on Virtuality and Society, July 29-31, 2007, Portland, ... Federation for Information Processing) , 2007 .

[3]  Charles R. Hurburgh,et al.  Managing food traceability information using EPCIS framework , 2011 .

[4]  C. N. Verdouw,et al.  Towards Software Mass Customization for Business Collaboration , 2014, 2014 Annual SRII Global Conference.

[5]  J.G.A.J. van der Vorst,et al.  Virtualisation of floricultural supply chains , 2013 .

[6]  Martin Bichler,et al.  Design science in information systems research , 2006, Wirtschaftsinf..

[7]  Peter J. Fryer,et al.  Challenges facing food engineering , 2013 .

[8]  Leilani Battle,et al.  Building the Internet of Things Using RFID: The RFID Ecosystem Experience , 2009, IEEE Internet Computing.

[9]  Antonio Iera,et al.  The Internet of Things: A survey , 2010, Comput. Networks.

[10]  Jonathan Steuer,et al.  Defining virtual reality: dimensions determining telepresence , 1992 .

[11]  Kevin Crowston,et al.  Virtuality and Virtualization , 2007, Virtuality and Virtualization.

[12]  Petter Olsen,et al.  The TraceFood Framework – Principles and guidelines for implementing traceability in food value chains , 2013 .

[13]  Maurizio Tomasella,et al.  Vision and Challenges for Realising the Internet of Things , 2010 .

[14]  M. Dekker,et al.  Monitoring the Quality of Perishable Foods: Opportunities for Intelligent Packaging , 2014, Critical reviews in food science and nutrition.

[15]  Veda C. Storey,et al.  Design science in the information systems discipline: an introduction to the special issue on design science research , 2008 .

[16]  Adrie J. M. Beulens,et al.  Transparency in complex dynamic food supply chains , 2012, Adv. Eng. Informatics.

[17]  Thomas Pötsch,et al.  Communication techniques and challenges for wireless food quality monitoring , 2014, Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences.

[18]  L. Ruiz-Garcia,et al.  The role of RFID in agriculture: Applications, limitations and challenges , 2011 .

[19]  Salvatore T. March,et al.  Design and natural science research on information technology , 1995, Decis. Support Syst..

[20]  R. Nagel,et al.  Agile Competitors and Virtual Organizations: Strategies for Enriching the Customer , 1994 .

[21]  M. Clarke Virtual logistics: An introduction and overview of the concepts , 1998 .

[22]  Hajo A. Reijers,et al.  A control model for object virtualization in supply chain management , 2015, Comput. Ind..

[23]  J. Aken Management Research Based on the Paradigm of the Design Sciences: The Quest for Field-Tested and Grounded Technological Rules , 2004 .

[24]  Stéphane Dauzère-Pérès,et al.  A literature review on the impact of RFID technologies on supply chain management , 2010 .

[25]  Izak Benbasat,et al.  The Case Research Strategy in Studies of Information Systems , 1987, MIS Q..

[26]  Francis Butler,et al.  A framework for beef traceability from farm to slaughter using global standards: An Irish perspective , 2009 .

[27]  M. Porter,et al.  How Smart, Connected Products Are Transforming Competition , 2014 .

[28]  Florian Michahelles,et al.  An Architectural Approach Towards the Future Internet of Things , 2011, Architecting the Internet of Things.

[29]  A. F. Bollen,et al.  Agricultural supply system traceability, Part I: Role of packing procedures and effects of fruit mixing , 2007 .

[30]  Tal Garfinkel,et al.  Virtual machine monitors: current technology and future trends , 2005, Computer.

[31]  Petter Olsen,et al.  Granularity and its role in implementation of seafood traceability , 2012 .

[32]  Jan Holmström,et al.  Intelligent Products: A survey , 2009, Comput. Ind..

[33]  E. Abad,et al.  RFID smart tag for traceability and cold chain monitoring of foods: Demonstration in an intercontinental fresh fish logistic chain , 2009 .

[34]  Gerd Kortuem,et al.  Smart objects as building blocks for the Internet of things , 2010, IEEE Internet Computing.

[35]  Artemis Moroni,et al.  Vision and Challenges for Realising the Internet of Things , 2010 .

[36]  Vahid Mirzabeiki,et al.  Effects on logistic operations from RFID- and EPCIS-enabled traceability , 2014 .

[37]  Trudie Aberdeen Yin, R. K. (2009). Case study research: Design and methods (4th Ed.). Thousand Oaks, CA: Sage. , 2013, The Canadian Journal of Action Research.

[38]  A. Beulens,et al.  Enabling chain-wide transparency in meat supply chains based on the EPCIS global standard and cloud-based services , 2014 .

[39]  J. Aguzzi,et al.  A Review on Agri-food Supply Chain Traceability by Means of RFID Technology , 2013, Food and Bioprocess Technology.

[40]  K. Eisenhardt Building theories from case study research , 1989, STUDI ORGANIZZATIVI.

[41]  Nga T. T. Mai,et al.  Benefits of traceability in fish supply chains – case studies , 2010 .

[42]  Rajit Gadh,et al.  Virtual and Augmented Reality Technologies for Product Realization , 1999 .

[43]  Richard Hull,et al.  Introducing the Guard-Stage-Milestone Approach for Specifying Business Entity Lifecycles , 2010, WS-FM.

[44]  M. Venkatraman,et al.  Real Strategies for Virtual Organizing , 1998 .

[45]  Douwe-Frits Broens,et al.  Food safety and transparency in food chains and networks Relationships and challenges , 2004 .

[46]  马华东 Internet of Things: Objectives and Scientific Challenges , 2011 .

[47]  A. Rizzi,et al.  Economical assessment of the impact of RFID technology and EPC system on the fast-moving consumer goods supply chain , 2008 .

[48]  Chana R. Schoenberger The internet of things , 2002 .

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