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Electronics and Telecommunications Research Institute (한국전자통신연구원)
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Integrated GIS-Based Logistics Process Monitoring Framework with Convenient Work Processing Environment for Smart Logistics

  • Yu, Yeong-Woong (IT Convergence Technology Research Laboratory, ETRI) ;
  • Jung, Hoon (IT Convergence Technology Research Laboratory, ETRI) ;
  • Bae, Hyerim (Department of Industrial Engineering, Pusan National University)
  • Received : 2014.08.05
  • Accepted : 2015.02.03
  • Published : 2015.04.01
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Abstract

In today's highly competitive business environment, most companies try to manage their logistics function strategically to satisfy their orders as cost-effectively as possible and maximize their present and future profits. In this environment, logistics process visibility is essential to companies wishing to competently track components, parts, or products in transit from the original suppliers to the final destinations. Thus, it is important to provide instantly and easily recognizable information about such visibility to all stakeholders, especially customers. To ensure a high-level geographical visibility of the logistics processes, in this paper, we propose a way of implementing a GIS-based logistics process monitoring environment and of integrating a performer's work processing environment on the monitoring system. Additionally, to provide more abundant monitoring information, we describe a procedure for creating and processing various monitoring information, which are represented as ECA rules in this work processing environment. Therefore, it is possible to provide intuitive and visible monitoring information regarding the logistics process and resource elements.

Keywords

References

  1. C.-C. Sum, C.-B. Teo, and K.-K. Ng, "Strategic Logistics Management in Singapore," Int. J. Operations Production Manag., vol. 21, no. 9, 2001, pp. 1239-1260. https://doi.org/10.1108/EUM0000000005926
  2. D. Simchi-Levi, X. Chen, and J. Bramel, "The Logic of Logistics: Theory, Algorithms, and Applications for Logistics and Supply Chain Management," 2nd ed., NY, USA: Springer-Verlag, 2010.
  3. IBM Center for The Business of Government, Smart Logistics Part 1 of 3: Visibility-The Importance of Seeing Your Complete Supply Chain. Accessed May 25, 2014. http://www.businessofgovernment.org
  4. D.J. Bowersox and D.J. Closs, "Logistical Management: The Integrated Supply Chain Process," NY, USA: McGraw-Hill Companies, 1996.
  5. J.T. Mentzer et al., "Defining Supply Chain Management," J. Business Logistics, vol. 22, no. 2, 2001, pp. 1-25. https://doi.org/10.1002/j.2158-1592.2001.tb00001.x
  6. M. Christopher, "Logistics and Supply Chain Management," 4th ed., NJ, USA: FT Prentice Hall, 2013.
  7. D.J. Bowersox, D.J. Closs, and M.B. Cooper, "Supply Chain Logistics Management," NY, USA: McGraw-Hill Education, 2012.
  8. CSCMP, CSCMP's Definition of Logistics Management, Council of Supply Chain Management Professionals. Accessed May 25, 2014. http://www.cscmp.org/about-us/supply-chain-management-definitions
  9. M. Rouse, Supply Chain Visibility, SearchManufacturingERP, 2009. http://searchmanufacturingerp.techtarget.com
  10. H. Jung, K. Lee, and W. Chun, "Integration of GIS, GPS, and Optimization Technologies for the Effective Control of Parcel Delivery Service," Comput. Ind. Eng., vol. 51, no. 1, Sept. 2006, pp. 154-162. https://doi.org/10.1016/j.cie.2006.07.007
  11. J.-H. Park and J.-H. Park, "Postal RFID Application Model and Performance," ETRI J., vol. 28, no. 3, June 2006, pp. 405-408. https://doi.org/10.4218/etrij.06.0205.0096
  12. ESRI, GIS for the Insurance Claims Process: Five Steps for an Effective Workflow, White paper, California: ESRI, Apr. 2012.
  13. M. Rouse, Bus. Process Manag. (BPM), SearchCIO. Accessed May 25, 2014. http://searchcio.techtarget.com
  14. V. Maliene et al., "Geographic Information System: Old Principles with New Capabilities," Urban Des. Int., vol. 16, no. 1, 2011, pp. 1-6. https://doi.org/10.1057/udi.2010.25
  15. SCC, Supply Chain Operations Reference (SCOR) Model Overview-Version 10.0, Supply Chain Council, 2010.
  16. H. Bae and Y. Kim, "A Document-Process Association Model for Workflow Management," Comput. Ind., vol. 47, no. 2, Feb. 2002, pp. 139-154. https://doi.org/10.1016/S0166-3615(01)00150-6
  17. P.A. Zandbergen, "A Comparison of Address Point, Parcel, and Street Geocoding Techniques," Comput., Environment, Urban Syst., vol. 32, no. 3, May 2008, pp. 214-232. https://doi.org/10.1016/j.compenvurbsys.2007.11.006
  18. OSGeo, PostGIS 1.5.3 Manual, Open Source Geospatial Foundation. http://www.osgeo.org
  19. C.W. Tan and A. Goh, "Implementing ECA Rules in an Active Database," Knowl.-Based Syst., vol. 12, no. 4, Aug. 1999, pp. 137-144. https://doi.org/10.1016/S0950-7051(99)00028-3
  20. A. Goh, Y.-K. Koh, and D.S. Domazet, "ECA Rule-Based Support for Workflows," Artif. Intell. Eng., vol. 15, no. 1, Jan. 2001, pp. 37-46. https://doi.org/10.1016/S0954-1810(00)00028-5
  21. M. Rusinkiewicz and A. Sheth, "Specification and Execution of Transactional Workflows," in Modern Database Systems, NY, USA: Addison-Wesley Publishing Co., 1995, pp. 592-620.
  22. H. Bae and Y.-W. Yu, "Auto-Triggering of RFID-Based Logistic Process in Inter-Workflow Using Complex Event," in Dynamics in Logistics, Berlin, Germany: Springer Berlin-Heidelberg, Jan. 2011, pp. 329-339.
  23. J.-Y. Lee, "Integrating Spatial and Temporal Relationship Operators into SQL3 for Historical Data Management," ETRI J., vol. 24, no. 3, June 2002, pp. 226-238. https://doi.org/10.4218/etrij.02.0102.0307
  24. J. Gubbia et al., "Internet of Things (IoT): A Vision, Architectural Elements, and Future Directions," Future Generation Comput. Syst., vol. 29, no. 7, Sept. 2013, pp. 1645-1660. https://doi.org/10.1016/j.future.2013.01.010

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