Autonieuws. (2015). Nederland wil voortrekkersrol zelfrijdende auto. Retrieved July 11, 2015, from http://www.autoweek.nl/nieuws/31844/nederland-wil-voortrekkersrol-zelfrijdende-auto
Becker, M., Syyed, G., Wenning, B.-L., & Görg, C. (2007). On Mobile Agents for Autonomous Logistics : An Analysis of Mobile Agents considering the Fan Out and sundry Strategies Markus Becker , Bernd-Ludwig Wenning and Carmelita G ¨ org. Int. J. Accounting, Auditing and Performance Evaluation, I(1). http://doi.org/10.1504/IJSOI.2007.014515
Breton, L., Maza, S., & Castagna, P. (2006). A multi-agent based conflict-free routing approach of bi-directional automated guided vehicles. 2006 American Control Conference, 00(33), 2825–2830. http://doi.org/10.1109/ACC.2006.1656652
Egbelu, P. J. (1987). The Use Of Non-Simulation Approaches In Estimating Vehicle Requirements in an automated Guided Vehicle Based Transport System.
Erol, R., Sahin, C., Baykasoglu, A., & Kaplanoglu, V. (2012). A multi-agent based approach to dynamic scheduling of machines and automated guided vehicles in manufacturing systems.
Applied Soft Computing. http://doi.org/10.1016/j.asoc.2012.02.001
Farahvash, P., & Boucher, T. O. (2004). A multi-agent architecture for control of AGV systems.
Robotics and Computer-Integrated Manufacturing, 20(6 SPEC. ISS.), 473–483. http://doi.org/10.1016/j.rcim.2004.07.005
FIPA Contract Net Interaction Protocol Specification. (2002). Foundation for Intelligent Physical Agents, (SC00029H), 9. Retrieved from http://www.fipa.org/specs/fipa00029/SC00029H.pdf
Gademann, a. J. R. M., & van de Velde, S. L. (2000). Positioning automated guided vehicles in a loop layout. European Journal of Operational Research, 127(3), 565–573.
http://doi.org/10.1016/S0377-2217(99)00341-0
Gath, M., Herzog, O., & Edelkamp, S. (2014). Autonomous and flexible multiagent systems enhance transport logistics. 2014 11th International Conference and Expo on Emerging Technologies for a Smarter World, CEWIT 2014, 0–5.
http://doi.org/10.1109/CEWIT.2014.7021143
Hafidz, M., Lin, H., & Murata, T. (2010). Dynamic Task Assignment of Autonomous AGV System Based on Multi Agent Architecture. Progress in Informatics and Computing (PIC), 1151– 1156. http://doi.org/10.1109/PIC.2010.5687984
HTSM Automotive Roadmap 2016-2020. (2015). Retrieved July 11, 2015, from
http://www.automotivenl.com/nl/databases/nieuws/automotivenl/item/6635-automotive- roadmap
Kim, K. H. (1995). Positioning of automated guided vehicles in a loop layout to minimize the mean vehicle response time. INT. J. Production Economics, 39, 201–214. Retrieved from
http://www.sciencedirect.com/science/article/pii/092552739500022G
Kindt, M. (2011). Longer and Heavier Vehicles in practice. Directorate General for Public Works and Water Management (Rijkswaterstaat) – Traffic and Shipping Department, 112.
Kural, K., Prati, A., Besselink, I., Pauwelussen, J., & Nijmeijer, H. (2013). Validation of Longer and Heavier Vehicle Combination Simulation Models. SAE International Journal of Commercial Vehicles, 6(2), 340–352. http://doi.org/10.4271/2013-01-2369
Ladier, A.-L., & Alpan, G. (2015). Cross-docking operations: Current research versus industry practice. Omega. http://doi.org/10.1016/j.omega.2015.09.006
Law, A. M. (2007). Simulation modeling and analysis. McGraw-Hill series in industrial engineering and management science.
Le-Anh, T. (2005). Intelligent Control of Vehicle-Based Internal Transport Systems. Retrieved from http://repub.eur.nl/res/pub/6554/
Le-Anh, T., & De Koster, M. B. M. (2006). A review of design and control of automated guided vehicle systems. European Journal of Operational Research, 171(1), 1–23.
http://doi.org/10.1016/j.ejor.2005.01.036
McHaney, R. (1995). Modelling battery constraints in discrete event automated guided vehicle simulations. International Journal of Production Research, 33(11), 3023–3040.
http://doi.org/10.1080/00207549508904859
Mes, M., van der Heijden, M., & van Harten, A. (2007). Comparison of agent-based scheduling to look-ahead heuristics for real-time transportation problems. European Journal of
Operational Research, 181(1), 59–75. http://doi.org/10.1016/j.ejor.2006.02.051 Michalek, M., & Kielczewski, M. (2013). Helping a driver in backward docking with N-trailer
vehicles by the passive control-assistance system. In IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC (pp. 1993–1999). IEEE.
http://doi.org/10.1109/ITSC.2013.6728522
Oboth, C., Batta, R., & Karwan, M. (1999). Dynamic conflict-free routing of automated guided vehicles. International Journal of Production Research.
Oliveira, E., Fischer, K., & Stepankova, O. (1999). Multi-agent systems: Which research for which applications. Robotics and Autonomous Systems, 27(1), 91–106.
http://doi.org/10.1016/S0921-8890(98)00085-2
Padgham, L., & Winikoff, M. (2005). Developing intelligent agent systems: A practical guide (Vol. 13).
Parunak, H. V. D. (1998). Practical and Industrial Applications of Agent-Based Systems.
Technology, 1–41.
Qiu, L., & Hsu, W.-J. (2001). A bi-directional path layout for conflict-free routing of AGVs.
International Journal of Production Research, 39(10), 2177–2195. http://doi.org/10.1080/00207540110038531
Qiu, L., Hsu, W.-J., & Huang, S.-Y. (2002). Scheduling and routing algorithms for AGVs: A survey. International Journal of Production Research, 40(3), 745–760.
Robinson, S. (1997). Simulation Model Verification And Validation: Increasing The Users’ Confidence. Winter Simulation Conference Proceedings, 7–13.
http://doi.org/10.1109/WSC.1997.640377
Robinson, S. (2008a). Conceptual modelling for simulation Part I: definition and requirements.
Journal of the Operational Research Society, 59(3), 278–290.
http://doi.org/10.1057/palgrave.jors.2602368
Robinson, S. (2008b). Conceptual modelling for simulation Part II: a framework for conceptual modelling. Journal of the Operational Research Society, 59(3), 291–304.
http://doi.org/10.1057/palgrave.jors.2602368
Singh, N., Sarngadharan, P. V., & Pal, P. K. (2011). AGV scheduling for automated material distribution: A case study. Journal of Intelligent Manufacturing, 22(2), 219–228.
http://doi.org/10.1007/s10845-009-0283-9
Van der Meer, J. R. (2000). Operational Control of Internal Transport. Ph.D. Series Research in Management (Vol. 1).
Ventura, J. a., & Rieksts, B. Q. (2009). Optimal location of dwell points in a single loop AGV system with time restrictions on vehicle availability. European Journal of Operational Research, 192(1), 93–104. http://doi.org/10.1016/j.ejor.2007.09.014
Vis, I. F. A. (2006). Survey of research in the design and control of automated guided vehicle systems. European Journal of Operational Research, 170(3), 677–709.
http://doi.org/10.1016/j.ejor.2004.09.020
Wallace, A. (2007). Multi-agent negotiation strategies utilizing heuristics for the flow of AGVs.
International Journal of Production Research, 45(2), 309–322. http://doi.org/10.1080/00207540600726752
Winikoff, M., & Padgham, L. (2004). The prometheus methodology. In Methodologies and Software Engineering For Agent Systems (11th ed., pp. 217–234). Springer US. Retrieved from http://link.springer.com/content/pdf/10.1007/1-4020-8058-1_14.pdf
Wooldridge, M. (2009). An Introduction to MultiAgent Systems (Second Edi). John Wiley & Sons Ltd.
Xin, J., Negenborn, R. R., & Lodewijks, G. (2014). Trajectory planning for AGVs in automated container terminals using avoidance constraints: A case study. In IFAC Proceedings Volumes (IFAC-PapersOnline) (Vol. 19, pp. 9828–9833). IFAC Secretariat.
Xing, W., Peihuang, L., Qixiang, C., Chidong, Z., Ke, S., & Chen, J. (2012). Design and Control of Material Transport System for Automated Guided Vehicle. UKACC Internation