Abstract
Real-time and item-level traceability is critical in many industries such as the food, health care, and pharmaceutical industries. However, it’s still not clear how traceability, especially at the item level and in real time, could impact supply chain health, safety, and environment (HSE) control. In this research-in-progress, we investigate this rarely-studied problem based on IoT (Internet of Things) automatic tracking/tracing technologies. We first introduce a theoretic framework of three traceability levels: physical flow traceability, business process traceability, and performance traceability. We extend this framework by adopting a Bayesian causal network model for decision support.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Abad, E., Palacio, F., Nuin, M., Zarate, A., Juarros, A., Gomez, J.M., Marco, S.: RFID smart tag for traceability and cold chain monitoring of foods: demonstration in an intercontinental fresh fish logistic chain. J. Food Eng. 93(4), 394–399 (2009)
Bertolini, M., Bevilacqua, M., Massini, R.: FMECA approach to product traceability in the food industry. Food Control 17(2), 137–145 (2006)
Blodgett, J.G., Anderson, R.D.: A Bayesian network model of the consumer complaint process. J. Serv. Res. 2(4), 321–338 (2000)
Bobbit, R., Connell, J., Haas, N., Otto, C., Pankanti, S., Payne, J.: Visual item verification for fraud prevention in retail self-checkout. In: IEEE Workshop on Applications of Computer Vision (WACV), 585–590 (2011)
Cooper, L.G.: Strategic marketing planning for radically new products. J. Mark. 64(1), 1–16 (2000)
Dawid, A.P., Lauritzen, S.L.: Hyper Markov laws in the statistical analysis of decomposable graphical models. Ann. Stat. 21(3), 1272–1317 (1993)
De Kok, A.G., Van Donselaar, K.H., van Woensel, T.: A break-even analysis of RFID technology for inventory sensitive to shrinkage. Int. J. Prod. Econ. 112(2), 521–531 (2008)
Dickinson, D.L., Bailey, D.: Meat traceability: are US consumers willing to pay for it? J. Agric. Resour. Econ. 27(2), 348–364 (2002)
Folinas, D., Manikas, I., Manos, B.: Traceability data management for food chains. Br. Food J. 108(8), 622–633 (2006)
Geng, C., Wong, M.L., Lui, H.-K.: Machine learning for direct marketing response models: Bayesian networks with evolutionary programming. Manage. Sci. 52(4), 597–612 (2006)
Haddawy, P.: An overview of some recent developments in Bayesian problem-solving techniques. AI Mag. 20(2), 11–19 (1999)
Hald, T., Vose, D., Wegener, H.C., Koupeev, T.: A Bayesian approach to quantify the contribution of animal-food sources to human salmonellosis. Risk Anal. 24(1), 255–269 (2004)
Jensen, F.V.: An Introduction to Bayesian Networks. Springer, New York (1996)
Jansen-Vullers, M.H., van Dorp, C.A., Beulens, A.J.: Managing traceability information in manufacture. Int. J. Inf. Manage. 23(5), 395–413 (2003)
Kelepouris, T., Pramatari, K., Doukidis, G.: RFID-enabled traceability in the food supply chain. Ind. Manage. Data Syst. 107(2), 183–200 (2007)
Lee, H., Özer, O.: Unlocking the value of RFID. Prod. Oper. Manage. 16(1), 40–64 (2007)
Loureiro, M.L., Umberger, W.J.: A choice experiment model for beef: what US consumer responses tell us about relative preferences for food safety, country-of-origin labeling and traceability. Food Policy 32(4), 496–514 (2007)
McFarlane, D.C., Sheffi, Y.: The impact of automatic identification on supply chain operations. Int. J. Logistics Manage. 14, 1–17 (2003)
Miraglia, M., Berdal, K.G., Brera, C., Corbisier, P., Holst-Jensen, A., Kok, E.J., Zagon, J.: Detection and traceability of genetically modified organisms in the food production chain. Food Chem. Toxicol. 42(7), 1157–1180 (2004)
Moe, T.: Perspectives on traceability in food manufacture. Trends Food Sci. Technol. 9(5), 211–214 (1998)
Mousavi, A., Sarhadi, M., Lenk, A., Fawcett, S.: Tracking and traceability in the meat processing industry: a solution. Br. Food J. 104(1), 7–19 (2002)
Opara, L.U.: Traceability in agriculture and food supply chain: a review of basic concepts, technological implications, and future prospects. J. Food Agric. Environ. 1, 101–106 (2003)
Pearl, J.: Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference. Morgan Kaufmann, San Mateo (1988)
Pearl, J.: Causality: Models, Reasoning, and Inference. Cambridge University Press, Cambridge (2000)
Piramuthu, S., Farahani, P., Grunow, M.: RFID-generated traceability for contaminated product recall in perishable food supply networks. Eur. J. Oper. Res. 225(2), 253–262 (2013)
Piramuthu, S., Zhou, W.: RFID and perishable inventory management with shelf-space and freshness dependent demand. Int. J. Prod. Econ. 144, 635–640 (2013)
Regattieri, A., Gamberi, M., Manzini, R.: Traceability of food products: general framework and experimental evidence. J. Food Eng. 81(2), 347–356 (2007)
Verbeke, W., Ward, R.W.: Consumer interest in information cues denoting quality, traceability and origin: an application of ordered probit models to beef labels. Food Qual. Prefer. 17(6), 453–467 (2006)
Zhou, W.: RFID and item-level information visibility. Eur. J. Oper. Res. 198(1), 252–258 (2009)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2015 Springer International Publishing Switzerland
About this paper
Cite this paper
Zhou, W., Piramuthu, S. (2015). IoT and Supply Chain Traceability. In: Doss, R., Piramuthu, S., ZHOU, W. (eds) Future Network Systems and Security. FNSS 2015. Communications in Computer and Information Science, vol 523. Springer, Cham. https://doi.org/10.1007/978-3-319-19210-9_11
Download citation
DOI: https://doi.org/10.1007/978-3-319-19210-9_11
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-19209-3
Online ISBN: 978-3-319-19210-9
eBook Packages: Computer ScienceComputer Science (R0)