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Partitioning algorithm for path determination of automated robotic part delivery system in manufacturing environments

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Published:19 August 2008Publication History

ABSTRACT

This paper presents a student research project as a supplement to the undergraduate curriculum for students in the area of Science, Technology, Engineering and Mathematics. The goal of the project presented in this paper is to provide students with experience in design of a routing path for an automated robotic part delivery system in manufacturing environments. Despite all advancement in automation of manufacturing processes, still there are many challenges that need attentions in automating part transformation between manufacturing stations on an unstructured plant. In this study, first a mathematical model of a plant layout containing static obstacles is constructed. A partitioning algorithm is then introduced that partitions the layout into obstacle-free regions. Next, a searching algorithm is utilized to yield all possible combinations of regions that can connect a starting point to a destination throughout the plant layout. Finally, physical paths are constructed by drawing line segments within the obstacle-free regions and through the intersections between the regions. A program in C language has been developed that accommodates the algorithm introduced. Excellent level of success has been measured in the performance of the designed algorithm and program code. This study could be potentially beneficial to the industry since it tends to remove the labor costs.

References

  1. The basic of Automated Guided Vehicles, AGV System, Seimens, March 2006.Google ScholarGoogle Scholar
  2. Flexible manufacturing systems, University of Kentucky, March 2006.Google ScholarGoogle Scholar

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  1. Partitioning algorithm for path determination of automated robotic part delivery system in manufacturing environments

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      cover image ACM Other conferences
      PerMIS '08: Proceedings of the 8th Workshop on Performance Metrics for Intelligent Systems
      August 2008
      333 pages
      ISBN:9781605582931
      DOI:10.1145/1774674

      Copyright © 2008 ACM

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      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 19 August 2008

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