Abstract
The logistics engineering evolution has been developed for cost- effectiveness proposed in various businesses, such as purchasing, inventory, and transportation. There are several purposes for the use of an application in logistics that draws on various vital factors for system implementation and evaluation. The logistic industry has grown rapidly due to the high demands of global transportation. For this paper, we implement the transportation management and logistics system by creating a web application, rather than using spreadsheets as a managerial tool for business intelligence. The system uses the “Internet of Things” concept by collecting data from diverse vehicles, routes, and drivers, and deals with appropriate transportation by matching the customer order with driver management. The essential issues consider the performance of drivers, oil consumption, and driving time. Significantly, the research accomplishes its objective as a tool to monitor those necessary circumstances in cost reduction strategies, illustrating total revenue, expenses, net profit, and measured driver behavior as key performance indicators.
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References
Kim, W.: The business model of IoT information sharing open market for promoting IoT service. J. Korea Soc. IT Serv. 15(3), 195–209 (2016)
Makarova, I., Khabibullin, R., Belyaev, E., Mavrin, V.: Improvement opportunities in commodity trucks delivery in globalized markets. Nase More 63(1), 16–23 (2016)
Lun, Y.H., Hoffmann, J.: Connectivity and trade relativity: the case of ASEAN. J. Shipp. Trade 1, 11 (2016). https://doi.org/10.1186/s41072-016-0015-1
Ducruet, C., et al.: The changing influence of city-systems on global shipping networks: an empirical analysis. J. Shipp. Trade 1, 4 (2016). https://doi.org/10.1186/s41072-016-0006-2
Hu, X., Cercone, N.: A data warehouse/online analytic processing framework for web usage mining and business intelligence reporting. Int. J. Intell. Syst. 19(7), 585–606 (2004). https://doi.org/10.1002/int.20012
Fan, C., Hsiao, H.W., Chou, C.H., Tseng, Y.F.: Malware detection systems based on API log data mining. In: Proceedings of the IEEE 39th Annual Computer Software and Applications Conference (COMPSAC), pp. 255–260. IEEE (2015)
Żak, J., Galińska, B.: Multiple criteria evaluation of suppliers in different industries—comparative analysis of three case studies. In: Żak, J., Hadas, Y., Rossi, R. (eds.) Advanced Concepts, Methodologies and Technologies for Transportation and Logistics. Advances in Intelligent Systems and Computing, vol. 572, pp. 121–155. Springer, Berlin (2017)
Ito, T., Sakuraba, A., Shibata, Y.: Development of decision algorithm for road surface conditions by crowd sensing technology. In: The 13th International Conference on Advances on Broadband and Wireless Computing, Communication and Applications. Lecture Notes on Data Engineering and Communications Technologies (LNDECT), vol. 25, pp. 361–366 (2018)
Ito, K., Hashimoto, K., Shibata, Y.: V2X communication system for sharing road alert information using cognitive network. In: The 8th International Conference on Awareness Science and Technology (iCAST 2017) (2017)
Christ, A., Steinmetz, C.: Concept for a 3D engineering dashboard based on restful web services. In: Proceedings of the eleventh International Symposium on Tools and Methods of Competitive Engineering (TMCE), Aix-en-Provence, France, pp. 303–316 (2016)
Parmenter, D.: Key Performance Indicators (KPI): Developing, Implementing, and Using Winning KPIs, vol. 448. Wiley, Hoboken (2015)
Anwar, M.W., Rashid, M., Azam, F., Kashif, M.: Model-based design verification for embedded systems through SVOCL: an OCL extension for SystemVerilog. J. Des. Autom. Embedded Syst. 21(1), 1–36 (2017)
Teruel, M.A., Maté, A., Navarro, E., et al.: The new era of business intelligence applications: building from a collaborative point of view – experimental material. Technical report no. DIAB-18-04-2. Computing Systems Department, University of Castilla–La Mancha (2018)
Sonewar, P.A., Mhetre, N.A.: A novel approach for detection of SQL injection & cross site scripting attacks. In: 2015 International Conference on Pervasive Computing (ICPC). IEEE (2015)
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Dounpong, P., Suesaowaluk, P. (2020). Transportation Management and Logistics System with Business Intelligence Approach. In: Hung, J., Yen, N., Chang, JW. (eds) Frontier Computing. FC 2019. Lecture Notes in Electrical Engineering, vol 551. Springer, Singapore. https://doi.org/10.1007/978-981-15-3250-4_23
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DOI: https://doi.org/10.1007/978-981-15-3250-4_23
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