Optimization of Manufacturing Cells Using Discrete Event Models
As the name suggests, this thesis is concerned with flexible manufacturing systems (FMS) and their way of living. More specifically, the main objective of this work
is to generate working schedules for the moving objects of the manufacturing cells. These schedules should be optimal in some sense, while situations involving several moving objects blocking each other or colliding should be avoided.
If such working schedules could be generated automatically and efficiently, the flexibility together with the productivity of the manufacturing cells would be affected positively. To guarantee safe FMS functionment, production cells are modeled in terms of discrete event systems (DES), whereafter supervisory control theory helps to prevent undesirable behaviour. The modeling procedure is done automatically, leaving the field open for the efficiency considerations. In this work, several methods for exploring DES in search for a time optimal
working sequence, based on the ideas of mixed integer linear programming, A* search and visibility graphs, are presented and studied with respect to their efficiency and robustness. In the final part of this work, the focus is shifted towards the reduction of the acceleration load imposed on the moving objects in a production cell. This
leads to a decrease of strain on the manufacturing equipment, thus prolonging the productive life of the FMS. Naturally, the acceleration reduction should be, and thus is, done without compromising such qualities of the working schedule as time optimality, collision- and deadlock avoidance.
Supervisory Control Theory
Discrete Events Systems
Mixed Integer Linear Programming
Timed Deterministic Finite Automata