Identyfikatory
Warianty tytułu
Języki publikacji
Abstrakty
The paper introduces the distributed framework for determining the shortest path of robots in the logistic applications, i.e. the warehouse with a swarm of robots cooperating in the Real-Time mode. The proposed solution uses the optimization routine to avoid the downtime and collisions between robots. The presented approach uses the reference model based on Dijkstra, Floyd-Warshall and Bellman-Ford algorithms, which search the path in the weighted undirected graph. Their application in the onboard robot’s computer requires the analysis of the time efficiency. Results of comparative simulations for the implemented algorithms are presented. For their evaluation the data sets reflecting actual processes were used. Outcomes of experiments have shown that the tested algorithms are applicable for the logistic purposes, however their ability to operate in the Real-Time requires the detailed analysis.
Słowa kluczowe
Rocznik
Tom
Strony
559--564
Opis fizyczny
Bibliogr. 16 poz., fot., schem., tab., wykr.
Twórcy
autor
- Lukasiewicz – Institute of Logistics and Warehousing, Poland
autor
- Warsaw University of Technology, Poland
Bibliografia
- [1] Mobile Robot Platforms, Shuttle Automated Storage and Retrieval Systems, Industrial Robotic Manipulators, and Gantry Robots: Global Market Analysis and Forecasts, Informa PLC, https://www.tractica.com/research/warehousing-and-logistics-robots/
- [2] J. Miklinska, “Trends in the logistic market and warehouses for logistics service providers-experiences from Poland,” Economic and Social Development: Book of Proceedings, 2020, 193-202.
- [3] M. Khamphroo, N. Kwankeo, K. Kaemarungsi, K. Fukawa, “MicroPython-based educational mobile robot for computer coding learning,” 2017 8th International Conference of Information and Communication Technology for Embedded Systems (IC-ICTES), Chonburi, 2017.
- [4] K. Dokic, B. Radisic, M. Cobović, “MicroPython or Arduino C for ESP32 - Efficiency for Neural Network Edge Devices,” Springier, 2020, pp. 33-34, https://doi.org/10.1007/978-3-030-43364-2_4.
- [5] N. Deo, “Graph theory with applications to engineering and computer science,” Englewood Cliffs, NJ: Prentice-Hall, 1974.
- [6] G. Laporte, ”The traveling salesman problem: An overview of exact and approximate algorithms,” EJOR, 1992, Vol. 59, pp. 231-247.
- [7] Lu Feng, “Shortest path algorithm: Taxonomy and Advance in Research”, Acta Geodaetica et Cartographica Sinica, vol. 30, no. 3, pp. 269-275, 2001.
- [8] D. Dobrilovic, V. Jevtic, I. Beker, Z. Stojanov, “Shortest-path based Model for Warehouse Inner Transportation Optimization” in 7th IEEE International Symposium on Applied Computational Intelligence and Informatics (SACI).
- [9] Y. Liu, T. M. Vitolo, “Graph Data Warehouse: Steps to Integrating Graph Databases Into the Traditional Conceptual Structure of a Data Warehouse,” 2013 IEEE International Congress on Big Data, 2013, pp. 433-434, https://doi.org/10.1109/BigData.Congress.2013.72
- [10] H.Y. Jang, J.U. Sun, “A Graph Optimization Algorithm for Warehouses with Middle Cross Aisles,” Applied Mechanics and Materials, 2011, 145. 354-358, https://doi.org/10.4028/www.scientific.net/AMM.145.354.
- [11] B.D. Acharya, M.K. Gill, “On the Index of Gracefulness of a Graph and the Gracefulness of Two-Dimensional Square Lattice Graphs, ” Indian J. Math., 1981, 23, 81-94.
- [12] T.H. Cormen, C.E. Leiserson, and R.L. Rivest, “Introduction to algorithms,” MIT Press, 1994.
- [13] Warehouse material flows and flow charts, https://www.mecalux.co.uk/warehouse-manual/warehouse-design/warehouse-material-flowchart
- [14] A. Niemczyk et al., “Organizacja i monitorowanie procesów magazynowych,” Instytut Logistyki i Magazynowania, 2014.
- [15] A. Szymonik, D. Chudzik, “Logistyka nowoczesnej gospodarki magazynowej,” Difin, 2018.
- [16] B. Mbakop A. Kevine, “The Effectiveness of ABC Cross Analysis on Products Allocation in the Warehouse,” 2018, January – February, Vol. 5, Issue 1, pp: 11-30.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-2f0aa80c-6c0a-4b2a-872c-03f9d4dde414