Title :
Optimal lot splitting on parallel machines
Author :
Di Febbraro, A. ; Minciardi, R. ; Sacone, S.
Author_Institution :
Dipt. di Autom. e Inf., Politec. di Torino, Turin, Italy
Abstract :
The control of manufacturing systems consisting of a certain number of parallel machines processing a given number of jobs is addressed in this work. A decentralised scheme composed of two decisional levels is defined in which, at a local level, the optimal control of each single machine is considered, whereas, at a higher level, the performances of a manufacturing system consisting of several machines are optimised. The relevant optimisation problem, with a quadratic cost function and non-linear constraints, is stated and solved as a multistage control problem to which dynamic programming techniques are applied to determine the sequence of optimal control closed-loop policies.
Keywords :
closed loop systems; decentralised control; dynamic programming; manufacturing systems; optimal control; closed-loop policy; decentralised scheme; dynamic programming technique; manufacturing system control; nonlinear constraint; optimal control; optimal lot splitting; parallel machine processing; quadratic cost function; Cost function; Manufacturing systems; Mathematical model; Optimal control; Parallel machines; Process control; decentralised systems; discrete event and hybrid systems; manufacturing systems; optimal control;
Conference_Titel :
Control Conference (ECC), 2001 European
Conference_Location :
Porto
Print_ISBN :
978-3-9524173-6-2