A sustainable and conflict-free operation of AGVs in a square topology

Abstract Automated guided vehicles (AGVs) are now very often used as basic equipment in transportation systems. The efficiency of such systems depends on many factors. One of the crucial issues is collision and deadlock-free operation. In this area, many algorithms have been proposed. Most of them are suitable for systems with a small number of AGVs. Moreover, new areas of implementation of transportation systems with a large number of AGVs have recently appeared. Very often, these transportation systems have a regular structure, e.g. mesh-like. In this paper, a new method for describing such systems with unidirectional, bidirectional or multiple lane flow-paths is proposed. In this method, a layout of a transportation system is divided into squares and described by a matrix. The motion of an AGV is considered as a movement from square to square with a fixed average speed. For this reason, a new method for AGV collision and deadlock prevention is proposed. This method is proposed based on chains of reservations. It is suitable for implementation in transportation systems with a square structure and with a large number of AGVs.

[1]  F. Taghaboni-Dutta,et al.  Comparison of dynamic routeing techniques for automated guided vehicle system , 1995 .

[2]  Pius J. Egbelu,et al.  Dynamic relative positioning of AGVs in a loop layout to minimize mean system response time , 1996 .

[3]  Yael Edan,et al.  Decentralized autonomous AGV system for material handling , 2002 .

[4]  Bruce H. Krogh,et al.  Deadlock avoidance in flexible manufacturing systems with concurrently competing process flows , 1990, IEEE Trans. Robotics Autom..

[5]  Yavuz A. Bozer,et al.  Tandem Configurations for Automated Guided Vehicle Systems and the Analysis of Single Vehicle Loops , 1991 .

[6]  René M. B. M. de Koster,et al.  A review of design and control of automated guided vehicle systems , 2006, Eur. J. Oper. Res..

[7]  Teo Chung-Piaw,et al.  Cyclic deadlock prediction and avoidance for zone-controlled AGV system , 2003 .

[8]  E. Roszkowska,et al.  Decentralized motion-coordination policy for cooperative mobile robots , 2008, 2008 9th International Workshop on Discrete Event Systems.

[9]  Pius J. Egbelu,et al.  Potentials for bi-directional guide-path for automated guided vehicle based systems , 1986 .

[10]  Chelliah Sriskandarajah,et al.  A Loop Material Flow System Design for Automated Guided Vehicles , 2001 .

[11]  P.J.M. Meersmans Optimization of Container Handling Systems , 2002 .

[12]  Wolfgang Karl,et al.  Euro-Par 2000 Parallel Processing , 2000, Lecture Notes in Computer Science.

[13]  Ying-Chin Ho,et al.  A dynamic-zone strategy for vehicle-collision prevention and load balancing in an AGV system with a single-loop guide path , 2000 .

[14]  Ling Qiu,et al.  Routing AGVs on a mesh-like path topology , 2000, Proceedings of the IEEE Intelligent Vehicles Symposium 2000 (Cat. No.00TH8511).

[15]  Mohammad Abdollahi Azgomi,et al.  Conflict-free scheduling and routing of automated guided vehicles in mesh topologies , 2009, Robotics Auton. Syst..

[16]  Iris F. A. Vis,et al.  Survey of research in the design and control of automated guided vehicle systems , 2006, Eur. J. Oper. Res..

[17]  Ling Qiu,et al.  Algorithms for Routing AGVs on a Mesh Topology (Research Note) , 2000, Euro-Par.

[18]  Walter Ukovich,et al.  A decentralized control strategy for the coordination of AGV systems , 2018 .

[19]  Kap Hwan Kim,et al.  Deadlock prevention for automated guided vehicles in automated container terminals , 2006, OR Spectr..

[20]  Ling Qiu,et al.  Scheduling and routing algorithms for AGVs: A survey , 2002 .

[21]  Maria Pia Fanti,et al.  Event-based controller to avoid deadlock and collisions in zone-control AGVS , 2002 .

[22]  Manoj Kumar Tiwari,et al.  Development of an intelligent agent-based AGV controller for a flexible manufacturing system , 2008 .

[23]  J. Zajac,et al.  A Deadlock Handling Method for Automated Manufacturing Systems , 2004 .

[24]  Brett A. Peters,et al.  Modeling and analysis of tandem AGV systems using generalized stochastic Petri nets , 2001 .

[25]  J. M. A. Tanchoco,et al.  Conflict-free shortest-time bidirectional AGV routeing , 1991 .

[26]  Andrew Wallace,et al.  Application of AI to AGV control?agent control of AGVs , 2001 .

[27]  Yavuz A. Bozer,et al.  Tandem AGV systems: A partitioning algorithm and performance comparison with conventional AGV systems , 1992 .

[28]  Spyros A. Reveliotis,et al.  Conflict resolution in multi-vehicle systems: A resource allocation paradigm , 2008, 2008 IEEE International Conference on Automation Science and Engineering.

[29]  Stephen C. Daniels Real Time Conflict Resolution in Automated Guided Vehicle Scheduling , 1988 .

[30]  Nicholas G. Hall,et al.  The significance of deterministic empty vehicle trips in the design of a unidirectional loop flow path , 2008, Comput. Oper. Res..

[31]  J. M. A. Tanchoco,et al.  An introduction to the segmented flow approach for discrete material flow systems , 1995 .

[32]  Andrzej Obuchowicz,et al.  A max-algebra approach to the robust distributed control of repetitive AGV systems , 1997 .

[33]  Marc Goetschalckx,et al.  Dual track and segmented single track bidirectional loop guidepath layout for AGV systems , 2008, Eur. J. Oper. Res..

[34]  Wen-Jing Hsu,et al.  Conflict-free container routing in mesh yard layouts , 2008, Robotics Auton. Syst..

[35]  Jose A. Ventura,et al.  A study of the tandem loop with multiple vehicles configuration for automated guided vehicle systems , 2001 .

[36]  A. J. R. M. Gademann,et al.  Positioning automated guided vehicles in a loop layout , 2000, Eur. J. Oper. Res..