Title :
Cyclic scheduling in small-scale robotic cells served by a multi-function robot
Author :
Foumani, M. ; Ibrahim, M.Y. ; Gunawan, I.
Author_Institution :
Sch. of Appl. Sci. & Eng., Monash Univ., Churchill, VIC, Australia
Abstract :
The objective of this study is to maximize the production rate of a rotationally arranged robotic cell by finding an optimal move cycle for a multi-function robot (MFR). Using this class of industrial robots makes the cell much more sophisticated than classical one where robot is considered to be only capable of handling material in work cells. MFR is able not only to transfer the part between two adjacent processing stages but also to perform a special operation in transit. The cycle time formulas are developed for small-scale cells where a robot interacts with either two or three machines. Also, this paper presents a methodology for finding the optimality regions of all possible cycles. This analysis results in enhancing the managerial skill for evaluating the productivity improvements of MFRs in robotized workcells.
Keywords :
dexterous manipulators; industrial manipulators; materials handling; productivity; scheduling; MFR; cyclic scheduling; industrial robots; managerial skill enhancement; material handling; multifunction robot; optimal move cycle; optimality regions; processing stages; production rate maximization; robot-machine interaction; robotized workcells; rotationally arranged robotic cell; small-scale robotic cells; transit operation; Equations; Grippers; Job shop scheduling; Loading; Service robots; Cyclic scheduling; Multi-function; Robotic cell; Rotational arrangement;
Conference_Titel :
Industrial Electronics Society, IECON 2013 - 39th Annual Conference of the IEEE
Conference_Location :
Vienna
DOI :
10.1109/IECON.2013.6699837