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Abstrakty
The article presents a new method of selecting operating parameters of vehicles which allows to prolong their useful life. The theoretical and practical aspects of the new approach were discussed. The key methods of optimizing the use of vehicles and their transport routes were analysed. The proposed method of selecting operating parameters of transport vehicles was based on elements of the dynamic programming model using heuristic algorithms. A model and then an algorithm and a computer program for selecting operating parameters for vehicles were developed.
Czasopismo
Rocznik
Tom
Strony
12--24
Opis fizyczny
Bibliogr. 11 poz., fig., tab.
Twórcy
autor
- Lublin University of Technology, Faculty of Mechanical Engineering, Institute of Technological Systems of Information, Nadbystrzycka Street 36, 20-618 Lublin
autor
- Polish Air Force Academy, Department of Logistics, Dywizjonu 303 Street 35, 08-521 Dęblin
Bibliografia
- [1] Rais, A., Alvelos, F., & Carvalho, M. S. (2014). New mixed integer-programming model for the pickup-and-delivery problem with transshipment. European Journal of Operational Research, 235, 34–46.
- [2] Cisowski, T. (2016). Rating urban bus operation based on parameter complexity of their routes. Autobusy: technika, eksploatacja, systemy transportowe, 17(6), 821–824.
- [3] Cisowski, T. (2016). Rationalization of the carriage / collection of goods with one airport taking into account the time factor. Autobusy: technika, eksploatacja, systemy transportowe, 17(6), 1287–1293. 24
- [4] Hao, C., & Yue, Y. (2016). Optimization on Combination of Transport Routes and Modes on Dynamic Programming for a Container Multimodal Transport System. Procedia Engineering, 137, 382–390. doi:10.1016/j.proeng.2016.01.272
- [5] Koralewski, G., Wrona, J., & Wrona, R. (2016). Research of the city bus in his maintenance conditions. Autobusy: technika, eksploatacja, systemy transportowe, 17(11), 82–84.
- [6] Koralewski, G., & Wrona, R. (2014). Modelowanie ruchu autobusu miejskiego dla celów optymalizacji układu napędowego. Logistyka, 3, 3065–3074.
- [7] Koralewski, G., & Wrona, R. (2015). Ocena wpływu czynników eksploatacyjnych na algorytmy przełączania biegów autobusów miejskich. Logistyka, 4, 4151–4160.
- [8] Lotko, A., Lotko, M., & Longwic, R., (2016). Different multidimensional exploratory techniques in classifying variables into qualitative criteria of spare parts selection for passenger cars. Advances in Science and Technology Research Journal, 10(31), 185–193. doi:10.12913/ 22998624/64013
- [9] Pires, M. C., & Frazzon, E. M. (2016). On the research of linear programming solving methods for non-hierarchical spare parts supply chain planning. IFAC-PapersOnLine, 49(30), 198–203. doi:10.1016/j.ifacol.2016.11.167
- [10] Pawełczyk, M. (2005). Advisor – package for simulation tests of autonomous vehicles. Prace Naukowe, seria Transport, 1(21). Radom: Wydawnictwo Politechniki Radomskiej.
- [11] Wojciechowski, Ł., Cisowski, T., & Pazowski, P. (2015). Synthesis of decision models and algorithms in manufacturing systems. Applied Mechanics and Materials, 791, 108–115. doi:10.4028/ www.scientific.net/AMM.791.108
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