Optimization of Material Transportation Assignment for Automated Guided Vehicle (AGV) System

  • Authors

    • Nor Rashidah Mohamad
    • Muhammad Hafidz Fazli Md Fauadi
    • Siti Fairus Zainudin
    • Ahamad Zaki Mohamed Mohamed Noor
    • Fairul Azni Jafar
    • Mahasan Mat Ali
    2018-09-01
    https://doi.org/10.14419/ijet.v7i3.20.19269
  • Automated Guided Vehicles, Material Transportation Assignment, Genetic Algorithm, FlexSim Software

  • Abstract

    This article focuses on Material Transportation Assignment problem that is identified as an Automated Guided Vehicles (AGV) multi-load task assignment. The primary goal of this paper is to determine the factors needed to optimize material transportation system. This study also explores the optimization and performance enhancement of the Flexible Manufacturing System (FMS) environment. The implementation of Genetic Algorithm (GA) in this model is to obtain the optimal solution for FMS layout. The combination of delivery and pickup task are addressed by modified algorithm for advancement in multiple loads AGV. The result obtained depicts that the proposed task assignment method with a modified genetic algorithm can produce acceptable performance compared to conventional task assignment method.

     

     

  • References

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  • How to Cite

    Rashidah Mohamad, N., Hafidz Fazli Md Fauadi, M., Fairus Zainudin, S., Zaki Mohamed Mohamed Noor, A., Azni Jafar, F., & Mat Ali, M. (2018). Optimization of Material Transportation Assignment for Automated Guided Vehicle (AGV) System. International Journal of Engineering & Technology, 7(3.20), 334-338. https://doi.org/10.14419/ijet.v7i3.20.19269

    Received date: 2018-09-08

    Accepted date: 2018-09-08

    Published date: 2018-09-01