Improving integration in supply chain traceability systems for perishable products

  • Andrea Gallo  ,
  • Riccardo Accorsi  ,
  • c Riccardo Manzini  ,
  • Daniele Santi  ,
  • Alessandro Tufano  
  • a, b,c,d,e, Department of Industrial Engineering (DIN), Alma Mater Studiorum - University of Bologna, Viale del Risorgimento, 2, 40122 – Bologna – Italy
Cite as
Gallo A., Accorsi R., Manzini R., Santi D., Tufano A. (2018). Improving integration in supply chain traceability systems for perishable products. Proceedings of the 4th International Food Operations and Processing Simulation Workshop (FoodOPS 2018), pp. 28-36. DOI: https://doi.org/10.46354/i3m.2018.foodops.004
 Download PDF

Abstract

Traceability represents a major concern in supply chains of perishable products. Progress enables complex and integrated monitoring systems based on Internet of Things (IoT), continuous monitoring and real-time
alerting. However, the adoption rate of these innovations is not fast enough due to the need of expensive equipment and a robust digital infrastructure. The use of inappropriate technology and the lack of standardization between different monitoring systems often causes data leakage during storage and transportation. The lack of a standard in the traceability tools also causes difficulties in merging the output
preventing the formation of a seamless cold chain. This paper presents a decision support tool that helps
practitioners to track and trace the perishable products at each stage of the supply chain. The tool gathers data from multiple sources with different data structures, merge the files and fill missing data with the aid of a routing tool and weather forecasting databases. The output of this tool is a unique file containing all the
traceability data about the product during its life-cycle. The tool also visualizes the traceability data through the use of a Geographic Information System (GIS) based on OpenStreetMap.

References

  1. Abad E., Palacio F., Nuin M., de Zárate A.G., Juarros A., Gómez J.M., Marco S., 2009. RFID smart tag for traceability and cold chain monitoring of  foods: Demonstration in an intercontinental fresh fish logistic chain. Journal of Food Engineering, 93, 394-399.
  2. Accorsi, R., Bortolini, M., Baruffaldi, G., Pilati, F., Ferrari, E., 2017. Internet-of-Things paradigm in
    food supply chains control and management. Procedia Manufacturing 11, 889-895.
  3. Accorsi, R., Gallo, A., Manzini, R., 2017. A climate driven decision-support model for the distribution
    of perishable products. Journal of Cleaner Production, 165, 917-929.
  4. Alfian, G., Ree, J., Ahn, H., Lee, J., Farooq, Ijaz, M.F., Syaekhoni, M.A., 2017. Integration of RFID,
    wireless sensor networks, and data mining in an epedigree food traceability system. Journal of Food
    Engineering, 2012, 65-75.
  5. Beulens, A.J.M., Broens, D.-F., Folstar, P., Hofstede, G.J., 2005. Food safety and transparency in food
    chains and networks Relationships and challenges. Food Control, 16, 481-486.
  6. Bosona, T., Gebresenbet, G., 2013. Food traceability as an integral part of logistics management in food
    and agricultural supply chain. Food Control, 33, 32-48.
  7. Bibi, F., Guillaume, C., Gontard, N., Sorli, B., 2017. A review: RFID technology having sensing aptitudes
    for food industry and their contribution to tracking and monitoring of food products. Trends in Food
    Science & Technology, 62, 91-103.
  8. Galimberti, A., De Mattia, F., Losa, A., Bruni, I., Federici, S., Casiraghi, M., Martellos, S., Labra,
    M., 2013. DNA barcoding as a new tool for food traceability. Food Research International, 50, 55-
    63.
  9. Gallo, A., Accorsi, R., Baruffaldi, G., Manzini, R., 2017. Designing Sustainable Cold Chains for
    Long-Range Food Distribution: Energy-Effective Corridors on the Silk Road Belt. Sustainability, 9,
    2044.
  10. Hajnar É., Kollár G., Láng-Lázi M., 2004. IT support and statistics in traceability and product recall at
    food logistics providers. Periodica Polytechnica Ser. Chem. Eng., 48 (1), 21-29.
  11. Hardt, M.J., Flett, K., Howell, C.J., 2017. Current Barriers to Large-scale Interoperability of
    Traceability Technology in the Seafood Sector. Journal of Food Science, 82 (S1), 3-12.
  12. Itinero, 2018. http://www.itinero.tech/
  13. Jones, E., Poghosyan, A., Gonzalez-Diaz, F., Bolotova, Y, 2004. Traceability and Assurance Protocols in
    the Global Food System. International Food and Agribusiness Management Review, 7 (3), 118-
    126.
  14. Li Y., Peng Y., Zhang Z., Wei J., Li D., 2015. Quality Monitoring Traceability Platform of Agriculture
    products Cold Chain Logistics Based on the Internet of Things. Chemical Engineering
    Transactions, 46, 517-522.
  15. Muljarto, A.R., Salmon, J.-M., Charnomordic, B., Buche, P., Tireau, A., Neveu, P., 2017. A generic ontological network for Agri-food experiment integration – Application to viticulture and winemaking. Computers and Electronics in Agriculture, 140, 433-442.
  16. OpenStreetMap, 2018. www.openstreetmap.org
  17. Qi, L., Xu, M., Fu, Z., Mira, T., Zhang, X., 2014. C2SLDS: A WSN-based perishable food shelf-life
    prediction and LSFO strategy decision support system in cold chain logistics. Food Control, 38,
    19-29.
  18. Regattieri A., Gamberi M., Manzini R., 2007. Traceability of food products: General framework
    and experimental evidence. Journal of Food Engineering, 81, 347-356.
  19. Salomie I., Dinsoreanu M., Pop C.B., Suciu S.L., 2008. Model and SOA Solutions for Traceability in
    Logistic Chains. Proceedings of iiWAS2008.
  20. Shanahan, C., Kernan, B., Ayalew, G., McDonnell, K., Butler, F., Ward, S., 2009. A framework for beef
    traceability from farm to slaughter using global standards: An Irish perspective. Computers and
    Electronics in Agriculture, 66, 62-69.
  21. Storøy, J., Thakur, M., Olsen, P., 2013. The TraceFood Framework – Principles and guidelines for
    implementing traceability in food value chains Journal of Food Engineering, 115, 41-48.
  22. Sun, S., Wang, X., Zhang, Y., 2017. Sustainable Traceability in the Food Supply Chain: The Impact
    of Consumer Willingness to Pay. Sustainability, 9, 999.
  23. Wang, J., Yue, H., Zhou, Z., 2017. An improved traceability system for food quality assurance and evaluation based on fuzzy classification and neural network. Food Control, 79, 363-370.
    World Weather Online, 2018.
  24. Xiao X., Fu Z., Zhang Y., Peng Z., Zhang X., 2016. Developing an intelligent traceability system for
    aquatic products in cold chain logistics integrated WSN with SPC. Journal of Food Processing and
    Preservation, 40, 1448-1458.
  25. Xiao-dong, C., Jian-zhen, L., 2009. Research on heterogeneous data integration in the livestock products traceability system. Proceedings - 2009 International Conference on New Trends in Information and Service Science, NISS 2009, 969-972.
  26. Zhang, Z.Y., Wang, L. Research on traceability integrated logistics system of diary products.
    Proceedings - International Conference on Management and Service Science, MASS 2009.