Mohamed Anouar Jamali

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Publications (2)0 Total impact

  • Conference Proceeding: Buffer Size Decision for the Flexible Transfer Line with Rework Paths Using Genetic Algorithms
    Jaber E. Abu Qudeiri, Mohamed Anouar Jamali, Hidehiko Yamamoto
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    ABSTRACT: The buffer size decision for the flexible transfer line (FTL) gains more and more importance because of growing FTL complexity and production costs. The buffer size in front of the bay of machines in the FTL is still one of the major optimization problems faced by production engineers. In this paper, we attempt to find the near optimal buffer size for flexible transfer line with rework paths (FTLRP) that achieves the best throughput of the FTLRP. A genetic algorithm (GA) was applied to find buffer size of FTLRP. For the performance evaluation of the FTL, a novel aggregation technique proposed by Jingshan (2004), is used to find the throughput of the FTLRP at a given buffer size. In order to achieve the efficient use of the GA, multiple vectors distribution method (MVDM) is used for the genes arrangement. An application example was developed and after a number of operations based on GA, the sizes of all buffers for the FTLRP could be found
    Service Systems and Service Management, 2006 International Conference on; 11/2006
  • Conference Proceeding: Optimization Hole-Cutting Operations Sequence in CNC Machine Tools Using GA
    Jaber E. Abu Qudeiri, Al-Momani Raid, Mohamed Anouar Jamali, Hidehiko Yamamoto
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    ABSTRACT: The productivity of machine tools is significantly improved by using microcomputer based CAD/CAM systems for NC program generation. Currently, many commercial CAD/CAM packages that provide automatic NC programming have been developed and applied to various cutting processes. One of the cutting processes machined by CNC machine tools is hole-cutting operations (HCO). In this paper, we attempt to find an efficient solution approach to determine the best sequence of operations for a set of holes that located in asymmetrical locations and different levels. In order to find the HCO that achieves the shortest cutting tool travel path (CTTP), Genetic algorithm is introduced. After the CTTP is optimized, the G-codes that use to code the part of program for this process is created. CTTP can be formulated as a special case of the traveling salesman problem (TSP). The incorporation of genetic algorithm and TSP can be included in the commercial CAD/CAM packages to optimize the CTTP during automatic generation of NC programs
    Service Systems and Service Management, 2006 International Conference on; 11/2006
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