Evaluating of an AGV system in a CIM unit: A simulation approach

被引：0
作者：
Razmi, J. [1 ]
Taghizadeh, M.R. [1 ]
Asadzadeh, S.M. [1 ]
机构：
[1] Department of Industrial Engineering, Research Institute in Energy Management and Planning, University of Tehran, Tehran
来源：
Information Technology Journal | 2007年 / 6卷 / 02期
关键词：
AGV; Computerized simulation; Index; Visual slam software;
D O I：
10.3923/itj.2007.304.309
中图分类号：
学科分类号：
摘要：
AGV system implementation needs a large amount of investment. Therefore, many approaches have been engaged in order to optimize AGV systems. Among these approaches simulation as a methodology for systems analysis has a paramount significance in the industrial world. In this study an AGV system has been simulated in a specified CIM unit. For evaluating this AGV system, a profit index based on sailing price and operation, transportation, inspection and warehousing costs have been applied. In this study, Visual Slam software been used to simulate the AGV system. Two strategies have been undertaken to select the machining station in order to sending primary parts. These two strategies are characterized with NNQ(I) and NNCNT(I) functions. Also these strategies have been compared using mentioned index. Since all industries should be coordinated in the supply chain, knowing of production cycle time distribution is very beneficial. Therefore an investigation on the production cycle distribution function has been implemented and revealed the existence of a Gamma distribution. © 2007 Asian Network for Scientific Information.
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页码：304 / 309
页数：5
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共 12 条
  • [1] Bookbinder J.H., Kirk M.D., Lane selection in an AGV-based asynchronous parallel assembly line, Comp. Ind. Eng, 32, pp. 927-938, (1997)
  • [2] Joseph J.M.E., Koppers S.A.J., Automated guided vehicle traffic control at a container terminal, Transportation Research Part A: Policy and Practice, 30, pp. 21-34, (1996)
  • [3] Kim K.H., Seung H.W., Jae L.K., Teruo T., An Architectural design of control software for automated container terminals, J. Comp. Ind. Eng, 46, pp. 741-754, (2004)
  • [4] Liu C.I., Hossein J., Katarina V., Petros I., Automated guided vehicle system for two container yard layouts, J. Transportation Research Part C: Emerg. Technol, 12, pp. 349-368, (2004)
  • [5] Maza S., Pierre C., A performance-based structural policy for conflict-free routing of bi-directional automated guided vehicles, Comp. Indu, 56, pp. 719-733, (2005)
  • [6] Mezgar I.C.E., Monostori L., Design and real-time reconfiguration of robust manufacturing systems by using design of experiments and artificial neural networks, Comp. Ind, 33, pp. 61-70, (1997)
  • [7] Moorthy R.L., Wee Hock G., Wing N., Teo P.C., Cyclic deadlock prediction and avoidance for zone-controlled AGV system, J. Intl. Prod. Econ, 83, pp. 309-324, (2003)
  • [8] Prakash A., Mingyuan C., A simulation study of flexible manufacturing systems, Comp. Ind. Eng, 28, pp. 191-199, (1995)
  • [9] Roger W.M., Douglas D.E., Multivariate regression metamodel: A DSS application in industry, Decision Support Systems, 19, pp. 43-52, (1997)
  • [10] Wang F.K., Lin J.T., Performance evaluation of an automated material handling system for a wafer fab, Robotics and Computer-Integrated Manufacturing, 20, pp. 91-100, (2004)
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