Abstract
Radio-frequency identification (RFID) technology is widely available and actively used in business areas such as supply chain management. We propose a storage framework for a supply chain management system to administer the movement and time history of a product with an RFID tag. The storage structure is adapted to handle movement and time history data based on an encoding scheme for multidimensional datasets. Three types of encoded value compactly keep all the routing path and temporal information of a product from factory shipment, and the information can be quickly traced by using these encoded values. This paper describes our storage framework for supply chain management and evaluates the database constructed based on the encoding scheme.
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References
Lee, C.H., Chung, C.W.: Efficient Storage Scheme and Query Processing for Supply Chain Management using RFID. In: Proc. of SIGMOD, pp. 291–302 (2008)
Wang, F., Liu, P.: Temporal Management of RFID Data. In: Proc. of VLDB, pp. 1128–1139 (2005)
Ng, W.: Developing RFID Database Models for Analysing Moving Tags in Supply Chain Management. In: Jeusfeld, M., Delcambre, L., Ling, T.-W. (eds.) ER 2011. LNCS, vol. 6998, pp. 204–218. Springer, Heidelberg (2011)
Cao, Z., Sutton, C., Diao, Y., Shenoy, P.: Distributed inference and query processing for RFID tracking and monitoring. In: Proc. of VLDB, pp. 326–337 (2011)
Li, J.X., Klabjan, D.: Warehousing and analyzing massive RFID data sets. In: Proc. of ICDE, pp. 1–10 (2006)
Bai, Y., Wang, F.: Liu. P., Zaniolo, C., and S. Liu.: RFID data processing with a data stream query language. In: Proc. of ICDE, pp. 1184–1193 (2007)
Wang, F., Liu, S., Liu, P., Bai, Y.: Bridging physical and virtual worlds: Complex event processing for rfid data streams. In: Proc. of EDBT, pp. 588–607 (2006)
Gonzalez, H., Han, J., Li, X.: FlowCube: Constructing RFID FlowCubes for Multi-Dimensional Analysis of Commodity Flows. In: Proc. of VLDB, pp. 834–845 (2006)
Hu, Y., Sundara, S., Chorma, T., Srinivasan, J.: Supporting RFID-based Item Tracking Applications inOracle DBMS Using a Bitmap Datatype. In: Proc. of VLDB, pp. 1140–1151 (2005)
Liu, M., Rundensteiner, E., Greenfield, K., Gupta, C., Wang, S., Ari, I., Mehta, A.: E-Cube: multi-dimensional event sequence analysis using hierarchical pattern query sharing. In: Proc. of SIGMOD, pp. 889–900 (2011)
Wu, X.D., Lee, M.L., Hsu, W.: A Prime Number Labeling Scheme for Dynamic Ordered XML Trees. In: Pro of ICDE, pp. 66–78 (2004)
Tsuchida, T., Tsuji, T., Higuchi, K.: Implementing Vertical Splitting for Large Scale Multidimensional Datasets and Its Evaluations. In: Proc. of DaWaK, pp. 208–223 (2011)
Jin, D., Tsuji, T., Tsuchida, T., Higuchi, K.: An Incremental Maintenance Scheme of Data Cubes. In: Haritsa, J.R., Kotagiri, R., Pudi, V. (eds.) DASFAA 2008. LNCS, vol. 4947, pp. 172–187. Springer, Heidelberg (2008)
Tsuji, T., Mizuno, H., Matsumoto, M., Higuchi, K.: A Proposal of a Compact Realization Scheme for Dynamic Multidimensional Datasets. DBSJ Journal 9(3), 1–6 (2009) (in Japanese)
XML Path Language(XPath), http://www.w3.org/TR/xpath/
IllGust, T.: Accelerating XPath Location Steps. In: Proc. of ACM SIGMOD, pp. 109–120 (2002)
PosgreSQL, http://www.postgresql.org/docs/8.4/static/index.html
GMP, https://gmplib.org
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Tsuji, T., Shimono, R., Higuchi, K. (2014). Design and Evaluation of a Storage Framework for Supply Chain Management. In: Decker, H., Lhotská, L., Link, S., Spies, M., Wagner, R.R. (eds) Database and Expert Systems Applications. DEXA 2014. Lecture Notes in Computer Science, vol 8645. Springer, Cham. https://doi.org/10.1007/978-3-319-10085-2_36
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DOI: https://doi.org/10.1007/978-3-319-10085-2_36
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-10084-5
Online ISBN: 978-3-319-10085-2
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