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Implementation Issues of AGVs in Flexible Manufacturing System : A Review

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Abstract

The future success of a manufacturing endeavor is likely to be determined by the speed and efficiency with which it incorporates new technologies into its operations. The objectives of production planning have shifted from how fast parts can be made to how efficiently parts can be transported between stations and in and out of storage. The responsibility for efficient work flow falls on the material handling system. Automated Guided Vehicle (AGV) systems have gained widespread use and their importance for material handling is expected to grow rapidly. The advantages that such systems can offer include easier interface with other automated systems such as flexible manufacturing system. This paper presents a review on implementation issues of automated guided vehicle systems in flexible manufacturing system context. These issues will be discussed under design, panning and control strategies that arise in AGV system. In addition, we propose a integrated framework for implementation of automated guided vehicles in flexible manufacturing system.

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References

  • Akturk M.S., Yilmaz H. (1996). Scheduling of Automated Guided Vehicles in a Decision Making Hierarchy, International Journal of Production Research, 34(2):577–591.

    Article  Google Scholar 

  • Ali M., Wadhwa S. (2010). The Effect of Routing Flexibility on a Flexible System of Integrated Manufacturing, International Journal of Production Research, 48(19). 5691–5709.

    Article  Google Scholar 

  • Ali M. (2010). Performance of Flexible System under Alternative Control Strategies, Journal of Technology, Operations and Management, 1(1):75–87.

    Google Scholar 

  • Ali M., Wadhwa S. (2005). Performance Analysis of Partial Flexible Manufacturing System, Global Journal of Flexible System Management, 6(1):9–19.

    Google Scholar 

  • Anh T. L. and De Koster M.B.M. (2005). On-line Dispatching Rules for Vehicle-based Internal Transport Systems, International Journal of Production Research, 43(8):1711–1728.

    Article  Google Scholar 

  • Bozer Y.A. and Yen C. (1996). Intelligent Dispatching Rules for Trip-based Material Handling Systems, Journal of Manufacturing Systems, 15, 226–239.

    Article  Google Scholar 

  • Bozer Yavuz A. and Srinivasan Mandyam M. (1991). Tandem Configurations for Automated Guided Vehicle Systems and the Analysis of Single Vehicle Loops. IIE Trans. 23(1). 72–82.

    Article  Google Scholar 

  • Chang W.K. and Tanchoco J.M.A. (1991). Conflict-free Shortest-time Bidirectional AGV Routing, International Journal of Production Research, 29(12):2377–2391.

    Article  Google Scholar 

  • Charles J. M. (1990). A Model for the Design of Zone Control Automated Guided Vehicle Systems, International Journal of Production Research, 28(10):1741–1758.

    Article  Google Scholar 

  • Correa A. I., Langevin A. and Rousseau L. M. (2007). Scheduling and Routing of Automated Guided Vehicles: A Hybrid Approach, Computers & Operations Research, 34(6):1688–1707.

    Article  Google Scholar 

  • Dahel N.E. (1995). Design of Cellular Manufacturing Systems in Tandem Configuration, International Journal of Production Research, 33, 2079–2095.

    Article  Google Scholar 

  • Desaulniers G., Langevin A., Riopel D. and Villeneuve B. (2003). Dispatching and Conflict-Free Routing of Automated Guided Vehicles: An Exact Approach, International Journal of Flexible Manufacturing Systems, 15(4):309–331.

    Article  Google Scholar 

  • Egbelu P.J. (1993). Positioning of Automated Guided Vehicles in a Loop Layout to Improve Response Time, European Journal of Operational Research, 71, 32–44.

    Article  Google Scholar 

  • Egbelu Pius J. (1987). The Use of Non-simulation Approaches in Estimating Vehicle Requirements in an Automated Guided Vehicle Based Transport System, Material Flow, 4, 17–32.

    Google Scholar 

  • Farahani R Z, Pourakbar M and Miandoabchi E. (2007). Developing Exact and Tabu Search Algorithms for Simultaneously Determining AGV Loop and P/D Stations in Single Loop Systems, International Journal of Production Research, 45(15):5199–5222.

    Article  Google Scholar 

  • Goetz William G., Jr. and Egbelu Pius J. (1990). Guide Path Design and Location of Load Pick-up/Drop-off Points for an Automated Guided Vehicle System, International Journal of Production Research, 28(5):927–941.

    Article  Google Scholar 

  • Huang C. (1997). Design of Material Transportation System for Tandem Automated Guided Vehicle Systems, International Journal of Production Research, 35(4):943–953.

    Article  Google Scholar 

  • Kim J. and Klein C.M. (1996). Location of Departmental Pickup and Delivery Points for an AGV System. International Journal of Production Research, 34(2):407–420.

    Article  Google Scholar 

  • Kiran Ali S. and Tansel Barbaros C. (1989). Optimal Pick-up Point Location on Material Handling Networks. International Journal of Production Research, 27(9):1475–1486.

    Article  Google Scholar 

  • Langevin A., Lauzon D., and Riopel D., (1996). Dispatching, Routing and Scheduling of Two Automated Guided Vehicles in a Flexible Manufacturing Systems, International Journal Flexile Manufacturing System, 8(3):247–262.

    Article  Google Scholar 

  • Lee J, Tangjarukij M and Zhu Z. (1996). Load Selection of Automated Guided Vehicles in Flexible Manufacturing Systems, International Journal of Production Research, 34(12):3388–3400.

    Article  Google Scholar 

  • Lee C.C. and. Lin J.T. (1995). Deadlock Prediction and Avoidance Based on Petri Nets for Zone-control Automated Guided Vehicle Systems, International Journal of Production Research, 33, 3249–3265.

    Article  Google Scholar 

  • Leung L.C, Khator S.K and Kimbler D.L. (1987). Assignment of AGVs with Different Vehicle Types, Material Flow, 4, 65–72.

    Google Scholar 

  • Lin J.T. (1990). Determine How Many AGV’s are Needed, Industrial Engg. 2(3):53–56.

    Google Scholar 

  • Lin J.T., Chang C.C.K. and Liu Wen-Chung (1994). A Load-routing Problem in a Tandem-configuration Automated Guided-vehicle System, International Journal of Production Research, 32(2):411–427.

    Article  Google Scholar 

  • Mahadevan B, Narendran T.T. (1990). Design of an Automated Guided Vehicle-based Material Handling System for a Flexible Manufacturing System, International Journal of Production Research, 28(9):1611–1622.

    Article  Google Scholar 

  • Mahadevan B. and. Narendran, T.T (1994). A Hybrid Modeling Approach to the Design of an AGV-based Material Handling System for an FMS, International Journal of Production Research, 32, 2015–2030.

    Article  Google Scholar 

  • Maxwell W.L. and Muckstadt J.A. (1982). Design of Automatic Guided Vehicle Systems, IIE Trans. 14(2):114–124.

    Article  Google Scholar 

  • Mojtaba S. S. and Reza Z. F., (2009). An Integrated Approach to Determine the Block Layout, AGV Flow Path and the Location of Pick-up/Delivery Points in Single-loop Systems, International Journal of Production Research, 47(11). 3041–3063.

    Article  Google Scholar 

  • Montreuil Benoit and Ratliff Donald H. (1988). Optimizing the Location of Input/Output Stations Within Facilities Layout, Engg. Costs and Production Economics, 14, 177–187.

    Article  Google Scholar 

  • Moshe K. and Tanchoco J. M. A. (1990). Optimal Flow Path Design of Unidirectional AGV Systems, Intl J Product Res., 28(6):1023–1030.

    Article  Google Scholar 

  • Muhammad H.F. bin M.F. and Tomohiro M. (2010). Makespan Minimization of Machines and Mutomated Guided Vehicles Schedule Using Binary Particle Swarm Optimization, Proceedings of the International Multi Conference of Enginers and Computer Scientists, V III, March 17–19, Hong Kong.

    Google Scholar 

  • Newton Dave (1985). Simulation Model Calculates How Many Automated Guided Vehicles are Needed, Industrial Engg, 17(2):68–78.

    Google Scholar 

  • Rajotia S, Shankar K, Batra J. L. (1998). Determination of Optimal AGV Fleet Size for an FMS, International Journal of Production Research, 36(5):1177–1198.

    Article  Google Scholar 

  • Reveliotis S.A. (2000). Conflict Resolution in AGV Systems, IIE Trans 32, 647–659.

    Google Scholar 

  • Ross E.A., Mahmoodi F. and Mosier C.T. (1996). Tandem Configuration Automated Guided Vehicle Systems: A Comparative Study. Decision Sciences, 27, 81–102.

    Article  Google Scholar 

  • Sabuncuoglu I, Hommertzheim D.L (1992). Experimental Investigation of FMS Machine and AGV Scheduling Rules Against the Mean Flow Time Criterion, International Journal of production Research, 30(7):1617–1635.

    Article  Google Scholar 

  • Sharad C.S., Alok K.C., Surendra K. and Tiwari M.K. (2008). Development of an Intelligent Agent-based AGV Controller for a Flexible Manufacturing System, International Journal Advance Manufacturing Technology, 36, 780–797.

    Article  Google Scholar 

  • Sinriech David and Tanchoco J.M.A. (1992). The Centroid Projection Method for Locating Pick-up and Delivery Stations in Single-loop AGV Systems, Journal of Manufacturing Systems, 11(4):297–307.

    Article  Google Scholar 

  • Soylu B, Kirca O and Azizoglu M. (2007). Flow Shop-sequencing Problem with Synchronous Transfers and Makespan Minimization, International Journal of Production Research, 45(15):3311–3331.

    Article  Google Scholar 

  • Stecke K.E, Solberg J.J (1983). Loading and Control Policies for a Flexible Manufacturing System, International Journal of Production Research, 19(5):481–490

    Article  Google Scholar 

  • Tanchoco J.M.A., Egbelu, P.J. and Taghaboni Fataneh (1987). Determination of the Total Number of Vehicles in an AGV-based Material Transport System, Material Flow, 4, 33–51.

    Google Scholar 

  • Tilak R., Ravi S. and Mohammed S. (2007). A Review of Some Issues and Identification of Some Barriers in the Implementation of FMS, International Journal Flexible Manufacturing System, 19, 1–40.

    Article  Google Scholar 

  • Vis I.F.A. (2006). Survey of Research in the Design and Control of Automated Guided Vehicle Systems, European Journal Operation Research, 170(3):677–709.

    Article  Google Scholar 

  • Vis I.F.A., Koster R., Roodbergen K.J., Peeters L.W.P. (2001). Determination of the Number of AGVs Required at a Semi-automated Container Terminal, Journal of the Operational Research Society, 52, 409–417.

    Article  Google Scholar 

  • Wadhwa S., Ducq Y., Ali M., Prakash A, (2009). Performance Analysis of a Flexible Manufacturing System, Global Journal of Flexible System Management, 10(3):23–34.

    Article  Google Scholar 

  • Wadhwa S., Ducq Y., Ali M. and Prakash A (2008). Performance Analysis of a Flexible Manufacturing System Under Planning and Control Strategies, Studies in Informatics and Control Journal, 17(3). 51–65.

    Google Scholar 

  • Wadhwa S. and J. Browne (1989). Modeling FMS with Petri Nets, International Journal of Flexible Manufacturing Systems, 1, 255–280.

    Article  Google Scholar 

  • Wang H.P.B. and Hafeez S. A. (1994). Performance of Tandem and Conventional AGV Systems Using Generalized Stochastic Petri Nets. International Journal of Production Research, 32, 917–932.

    Article  Google Scholar 

  • Wooyeon Y, Pius J.E. (2001). Design of a Variable Path Tandem Layout for Automated Guided Vehicle Systems, Journal of Manufacturing Systems, 20(5):305–319.

    Article  Google Scholar 

  • Wu N.Q. and Zhou M.C. (2007). Shortest Routing of Bidirectional Automated Guided Vehicles Avoiding Deadlock and Blocking, IEEE/ ASME Transactions on Mechatronics, 12(1):63–72.

    Article  Google Scholar 

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Correspondence to Mohammed Ali.

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Mohammed Ali took his Mechanical Engineering and Master in Industrial Engineering degree from Aligarh Muslim University, Aligarh, U.P. Subsequently he did PhD from IIT-Delhi, in the domain of CIM systems under the supervision of Late Professor Subhash Wadhwa. At present he is Associate Professor in Department of Mechanical Engineering, A.M.U. Aligarh. He has taught many subjects ranging from Industrial Engineering, Industrial Management, Economy and Management, Manufacturing Engineering etc He has publications in journals and conferences. His interest includes Flexible Systems, Simulation, CIMS etc.

Wasif Ullah Khan took his Master of Technology in Mechanical with specialization in Industrial and Production Engineering from AMU Aligarh. He is pursuing Ph.D. in the area Flexible Manufacturing System from Department of Mechanical Engineering, Aligarh Muslim University, Aligarh. Presently he is working as Assistant Professor in Mechanical Engineering Section, University Polytechnic, AMU Aligarh.

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Ali, M., Khan, W.U. Implementation Issues of AGVs in Flexible Manufacturing System : A Review. Global J. Flexible Syst. Manage. 11, 55–61 (2010). https://doi.org/10.1007/BF03396578

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