Study on the Smart Logistics System to Curb CO2 Emission of Shipping Trucks
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.
KeywordsElectronic Tachometer Track and Trace CO2 Emission Optimization Monitoring Supply chain management Green Logistics
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- 1.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)Google Scholar
- 2.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)Google Scholar
- 3.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)Google Scholar
- 4.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)Google Scholar
- 5.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)Google Scholar
- 6.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)Google Scholar
- 7.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)Google Scholar