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References (14)
-
S. Gershwin (1989)
Hierarchical flow control: a framework for scheduling and planning discrete events in manufacturing systemsProc. IEEE, 77
-
M. Demange, T. Ekim, D. Werra (2009)
A tutorial on the use of graph coloring for some problems in roboticsEur. J. Oper. Res., 192
-
G. Laporte, R. Farahani, E. Miandoabchi (2006)
Designing an efficient method for tandem AGV network design problem using tabu searchAppl. Math. Comput., 183
-
Ardavan Asef-Vaziri, M. Dessouky, C. Sriskandarajah (2001)
A Loop Material Flow System Design for Automated Guided VehiclesInternational Journal of Flexible Manufacturing Systems, 13
-
Youfang Huang, Chengji Liang, Yang Yang (2009)
The optimum route problem by genetic algorithm for loading/unloading of yard craneComput. Ind. Eng., 56
-
Ignacio Castillo, S. Reyes, B. Peters (2001)
Modeling and analysis of tandem AGV systems using generalized stochastic Petri netsJournal of Manufacturing Systems, 20
-
Srinivasan Rajagopalan, S. Heragu, G. Taylor (2004)
A Lagrangian relaxation approach to solving the integrated pick-up/drop-off point and AGV flowpath design problemApplied Mathematical Modelling, 28
-
M. Kaspi, U. Kesselman, J. Tanchoco (2002)
Optimal solution for the flow path design problem of a balanced unidirectional AGV systemInternational Journal of Production Research, 40
-
Tauseef Aized (2009)
Modelling and performance maximization of an integrated automated guided vehicle system using coloured Petri net and response surface methodsComput. Ind. Eng., 57
-
Ying-Chin Ho, Ta-Wei Liao (2009)
Zone design and control for vehicle collision prevention and load balancing in a zone control AGV systemComput. Ind. Eng., 56
-
S. Berman, E. Schechtman, Y. Edan (2009)
Evaluation of automatic guided vehicle systemsRobotics and Computer-integrated Manufacturing, 25
-
M. Gen, Lin Lin, Haipeng Zhang (2009)
Evolutionary techniques for optimization problems in integrated manufacturing system: State-of-the-art-surveyComput. Ind. Eng., 56
-
R. Akella, B. Krogh, Medini Singh (1990)
Efficient computation of coordinating controls in hierarchical structures for failure-prone multicell flexible assembly systemsIEEE Trans. Robotics Autom., 6
-
Y. Bozer, M. Srinivasan (1992)
Tandem AGV systems: A partitioning algorithm and performance comparison with conventional AGV systemsEuropean Journal of Operational Research, 63
- Publisher
- Springer Journals
- Copyright
- Copyright © 2010 by Springer-Verlag London Limited
- Subject
- Engineering; Industrial and Production Engineering; Media Management; Mechanical Engineering; Computer-Aided Engineering (CAD, CAE) and Design
- ISSN
- 0268-3768
- eISSN
- 1433-3015
- DOI
- 10.1007/s00170-010-2700-9
- Publisher site
- See Article on Publisher Site
Abstract
An automated manufacturing system (AMS) is a complex network of processing, inspecting, and buffering nodes connected by system of transportation mechanisms. For an AMS, it is desirable to be capable to increase or decrease the output with the rise and fall of demand. Such specifications show the complexity of decision making in the field of AMSs and the need for concise and accurate modeling methods. Therefore, in this paper, a flexible jobshop automated manufacturing system is proposed to optimize the material flow. The flexibility is on the multi-shops of the same type and also multiple products that can be produced. An automated guided vehicle is applied for material handling. The objective is to optimize the material flow regarding the demand fluctuations and machine specifications. An illustrative example is presented to test the validity of the proposed mathematical model.
Journal
The International Journal of Advanced Manufacturing Technology – Springer Journals
Published: May 14, 2010