OPTIMIZATION OF CYCLE TIME OF PALLETIZATION USING ABB ROBOT THROUGH SIMULATED ANNEALING ALGORITHM AND TRANSLATIONAL APPROACH

Authors

  • Ameet Singh
  • V. Sugumaran
  • G. Balamuruga Mohan Raj

Keywords:

Cycle time, Metaheuristics, Pick and place robotic system, Simulated annealing algorithm, Offline programming.

Abstract

The paper is related to pick and place robotic system (IRB - 1600). The main objective is to minimize the optimum cycle time of the robotic system. To achieve the following objective simulated annealing algorithm (SA) is carried out. Industrial constraint regarding the functioning of real industrial robotic system has been taken in concern during the research practice. Numerical results show that the different algorithm perform optimally for the tested instances in a reasonable computational time. Complete installation and cycle time of the system has been reduced and optimized with proper design and simulation using offline programming.

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Published

2021-10-12

How to Cite

Ameet Singh, V. Sugumaran, & G. Balamuruga Mohan Raj. (2021). OPTIMIZATION OF CYCLE TIME OF PALLETIZATION USING ABB ROBOT THROUGH SIMULATED ANNEALING ALGORITHM AND TRANSLATIONAL APPROACH . Pakistan Journal of Biotechnology, 15(Special Issue ICRAME). Retrieved from https://pjbt.org/index.php/pjbt/article/view/589

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