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Information Journal Paper

Title

Modeling for Minimizing Cycle Time in a Three-Machine Robotic Cell with Assumption of Tool Switching

Pages

  1-17

Abstract

 In this paper, three-machine Scheduling problem in Robotic Production Cells that producing different parts and assuming the tool change has been investiGAted. The main issue in this article is make decisions about how to move the parts by a robot between machines, the order of parts to Robotic Production Cells as well as how to tool switch on the machine is to achieve the optimum cycle time. A new approach to calculate the number of Tool switching is provided. Then a programming model for minimizing cycle time is presented in this problem and the results showed that tool changing and parts Sequencing has a direct impact on robot movement policy and cycle time. Finally, numerical examples have been studied using Genetic algorithms. The results were compared with software GAMS. It has been proven that GAMS does not answer for more than eight parts in a reasonable time, but examples up to 80 different parts using Genetic Algorithm reach to answer in a reasonable time. The results showed that Tool switching time and parts Sequencing have direct impact on cycle time.

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    APA: Copy

    MORADI, V., YOUSEFI NEJAD ATTARI, M., & FARUGHI, H.. (2018). Modeling for Minimizing Cycle Time in a Three-Machine Robotic Cell with Assumption of Tool Switching. JOURNAL OF INDUSTRIAL ENGINEERING RESEARCH IN PRODUCTION SYSTEMS (IERPS), 6(12 ), 1-17. SID. https://sid.ir/paper/241287/en

    Vancouver: Copy

    MORADI V., YOUSEFI NEJAD ATTARI M., FARUGHI H.. Modeling for Minimizing Cycle Time in a Three-Machine Robotic Cell with Assumption of Tool Switching. JOURNAL OF INDUSTRIAL ENGINEERING RESEARCH IN PRODUCTION SYSTEMS (IERPS)[Internet]. 2018;6(12 ):1-17. Available from: https://sid.ir/paper/241287/en

    IEEE: Copy

    V. MORADI, M. YOUSEFI NEJAD ATTARI, and H. FARUGHI, “Modeling for Minimizing Cycle Time in a Three-Machine Robotic Cell with Assumption of Tool Switching,” JOURNAL OF INDUSTRIAL ENGINEERING RESEARCH IN PRODUCTION SYSTEMS (IERPS), vol. 6, no. 12 , pp. 1–17, 2018, [Online]. Available: https://sid.ir/paper/241287/en

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