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Theoretical Paper

Transforming part-sequencing problems in a robotic cell into a GTSP

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Pages 114-123 | Received 01 Jul 2008, Accepted 01 Sep 2009, Published online: 21 Dec 2017
 

Abstract

This paper shows how to solve two-part sequencing problems in a three-machine robotic cell so as to minimize the cycle time. We start dealing with cycles whose associated part-sequencing problems do not have the structure of a travelling salesman problem (TSP). The idea behind our approach is to modify the waiting time formula and formulate the closely related modified problem as a generalized travelling salesman problem (GTSP). The other cycles to be tackled are those that have a TSP structure for their associated part-sequencing problem. The existence of common states between these cycles allows us to mix and mould all of them into a GTSP. The solution procedures, designed for both cycle classes, are merged into a single heuristic and evaluated. The computational results provided prove the efficiency of the approaches.

Acknowledgements

We are grateful to Professor Chadlia Mohsen, for her assistance throughout the progress of this work.

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