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Scheduling of discrete event systems using mixed integer linear programming

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2 Author(s)
A. Kobetski ; Dept. of Signals & Syst., Chalmers Univ. of Technol., Goteborg, Sweden ; M. Fabian

To remain competitive, the modern industry strive for flexibility. Recently, a method for automatic generation of control code from a 3D simulation model of a flexible manufacturing system was developed. Finite automata and supervisory control theory (SCT) were used to guarantee the required behaviour of the system. This paper moves one step further. A method for automatic conversion between deterministic finite automata and mixed integer linear programming (MILP) formulation is presented. This allows to efficiently combine SCT and MILP to automatically generate time-optimal, collision-free and non-blocking working schedules

Published in:

Discrete Event Systems, 2006 8th International Workshop on

Date of Conference:

10-12 July 2006