Abstract
For this study, researchers designed a real-time Green Smart Logistics System which collects Track and Trace data from electronic tachometers installed in the shipping trucks of 3PL companies before processing, searching and managing the collected data. After the design is finished, a test was conducted on the logistic network of a shipping company, targeting to reduce an amount of CO2 emission by optimizing the company’s shipping route and operation of logistic centers. This will provide a realistic logistic target to be reflected in establishing an enterprise-wise logistic strategy. This study aimed to develop a competitive and efficient integrated logistics control system capable of rationalizing the enterprise logistics.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
Choi, B.-G., Lee, H.-S., Hong, S.-K., Choi, J.-H.: Real time positioning system for logistics using GPS and logistics map. In: 2012 The Korean Society for Geospatial Information System Conference, pp. 129–134. The Korean Society for Geospatial Information System, Seoul (2004)
Lim, E.-C., Yang, D.-W., Shin, C.-S., Shim, C.-B., Lee, J.-H.: Implementation of an efficient GPS based vehicle monitoring system for logistics shipping service. In: KOSTI 2007, vol. 5(1), pp. 15–19. The Korea Contents Association, Seoul (2007)
Kim, M.-S., Lee, Y.-J., Kim, I.-W., Chae, J.: Intelligent logistics management system using smart phones. In: Korea Computer Congress 2010, vol. 28(1D), pp. 5–8. The Korea Institute of Information Scientists and Engineers, Jeju (2010)
Jo, S.-U., Ha, S.-C.: GUI development for track & trace system. In: 2003 Korea Multimedia Society Conference, pp. 957–960. Korea Multimedia Society, Seoul (2003)
Lee, J., Kim, H.-J.: The analysis of operation condition of corporation taxicab using the tachometer output data. Journal of Korean Society of Civil Engineers D 21(6D), 785–797 (2001)
Kim, S.-H., Choi, K., Choi, D.-S.: A mathematical model for estimating proper taxi fleet size: Focusing on Pyeong-Taek city case study. Journal of Korean Society of Civil Engineers D 31(5D), 633–639 (2011)
Oh, J.: Driving behavior analysis of commercial vehicles (buses) using a risky driving judgment device. Journal of Korean Society of Road Engineers 51, 103–109 (2012)
Daskalakis, G., Psychoyios, D., Markellos, R.: Modeling CO2 emission allowance prices and derivatives: Evidence from the European trading scheme. Journal of Banking & Finance 33(7), 1230–1241 (2009)
Benz, E., Truck, S.: Modeling the price dynamics of CO2 emission allowances. Energy Economics 31(1), 4–15 (2009)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2012 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Lee, DC., Ahn, HJ., Song, BJ. (2012). Study on the Smart Logistics System to Curb CO2 Emission of Shipping Trucks. In: Kim, Th., et al. Computer Applications for Security, Control and System Engineering. Communications in Computer and Information Science, vol 339. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-35264-5_44
Download citation
DOI: https://doi.org/10.1007/978-3-642-35264-5_44
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-35263-8
Online ISBN: 978-3-642-35264-5
eBook Packages: Computer ScienceComputer Science (R0)