Design for a hybrid single multi-load AGV1 simulation system with artifficial intelligence controller

• Autorzy: Kłosowski G.
• Języki publikacji: EN

Abstrakty

EN

This paper presents a simulation model of multi-load AGV system with artificial intelligence controller that is dedicated to be used in work transport control. The single AVG system with multi-load mean of transport is obtained assuming that the carrier capacity is big-enough to carry many lots at the single route. This model consists of a fuzzy logic and a genetic algorithms technics that minimize the total costs including transportation, setting up pick-up and/or delivery stations, and material handling devices. An example of \implementation of the model is given. The simulation experiment is conducted and the results are presented.

Słowa kluczowe

EN

artificial intelligence; Automated Guided Vehicles; transport control; simulation

• Wydawca: Polskie Towarzystwo Promocji Wiedzy ; Lublin University of Technology
• Czasopismo: Applied Computer Science
• Rocznik: 2010
• Tom: Vol. 6, no 2
• Strony: 81--94
• Opis fizyczny: Bibliogr. 10 poz., fig., tab.

Twórcy

autor

Kłosowski G.

• Department of Enterprise Organization, Lublin University of Technology, ul. Nadbystrzycka 38, 20-618 Lublin, Poland

Bibliografia

• [1] GÖTTIG H.H.: Automation and Steering of Vehicles in ports, Port Technology International, 10, 2000, pp. 101-111.
• [2] GRUNOW M., GÜNTHER H.-O., LEHMANN M.: Strategies for dispatching AGVs at automated seaport container terminals, OR Spectrum, 28, 2006, pp. 587–610.
• [3] HAEFNER L.E., BIESCHKE M.S.: ITS opportunities in port operations, Transportation Conference Proceedings, 1998, pp. 131–134.
• [4] JOHNSON M.E., BRANDEAU M.L.: An analytic model for design of a multivehicle automated guided vehicle system. Management Science, 39(12), 1993, pp. 1477–1489.
• [5] LAU H.Y.K., WONG V.W.K., LEE I.S.K.: Immunity-based autonomous guided vehicles control, Applied Soft Computing, 7, 2007, pp. 41–57.
• [6] LIM R., SIONG, LIM B.S., HO N.C.: Development and implementation of an intelligent flexible manufacturing system, Journal of Mechanical Working Technology, 20, 1989, pp. 389–402.
• [7] MAUGHAN F.G., LEWIS H.J.: AGV controlled FMS, International Journal of Production Research, 38(17), 2000, pp. 4445–4453.
• [8] VAN DER HEIJDEN M., EBBEN M., GADEMANN N., VAN HARTEN A.: Scheduling vehicles in automated transportation systems - Algorithms and case study, OR Spectrum, 24, 2002, pp. 31–58.
• [9] VAN DER HEIJDEN M.C., VAN HARTEN A., EBBEN M.J.R., SAANEN Y.A., VALENTIN E.C., VERBRAECK A.: Using simulation to design an automated underground system for transporting freight around Schiphol airport, Interfaces, 32(4), 2002, pp. 1–19.
• [10] LIPSKI J., KŁOSOWSKI G.: Design for a Single Multi-Load AGV Simulation System with Artificial Intelligence Controller, Automation And Control In Industry, Lubelskie Towarzystwo Naukowe, Lublin 2009.