Discrete Event Multiproduct Manufacturing Systems:Language Measure Parameters Evaluation
Recently, the concept of language measure has been developed as a mathematical framework for quantitative analysis and synthesis of discrete event supervisory control systems. The language measure is assigned two parameters: the state transition cost matrix and the state cost vector. In a recent paper3, an analytical approach has been formulated to evaluate the language measure parameters for discrete event manufacturing system composed of several monoproduct machines, i.e. each machine is able to perform only one kind of product. On the basis of the theory of Markov stochastic processes and Kronecker algebra, this paper aims to generalize the previous results in 3 to the multiproduct case, i.e. to the case where each machine in the manufacturing system is able to perform different kinds of products. The main advantage of the proposed approach is that the mathematical expressions of the system language measure parameters are derived systematically from data of individual elementary machines without generating the whole, possibly very large, system state space.
Manufacturing systems supervisory control language measure Markov Processes Kronecker algebra
A.KHATAB M.NOURELFATH
Mechanical Engineering Department Faculty of Science and Engineering Interuniversity Research Center on Entreprise Networks,Logistics and Transportation (CIRRELT) Universite Laval,Quebec (Qc),Canada
国际会议
北京
英文
2007-05-30（万方平台首次上网日期，不代表论文的发表时间）