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A novel identification method is proposed based on the characteristics of nonlinear time-delay systems. To identify nonlinear time-delay systems, Multi-dimensional Taylor network which has the powerful nonlinear approximation capability is utilized firstly, and then the improved particle swarm optimization algorithm is used to optimize weight numbers of Multi-dimensional Taylor network. To verify...
This paper considers a self-reconfiguration of process route in knowledgeable manufacturing system (KMS). To minimize the work-in-process (WIP) and the number of process operations reassigned among the different machines, a new model of process routing self-reconfiguration was constructed on the premise of satisfying production rate, operation precedence and operation-machine assignment constraints...
Knowledge manufacturing system has the ability of modifying dynamically manufacturing mode rapidly when production environment factors change. It is essential to evaluate the matching degree of established manufacturing mode and changed production environment factors. In this paper, a matching decision model for self-adaptability of knowledge manufacturing system based on the fuzzy neural network...
Aiming at the selection of knowledge meshes in the self-reconfiguration of knowledgeable manufacturing system, the method of fuzzy classification and searching for knowledge meshes based on information granular is proposed. Firstly, the matching degree, perfect degree and complexity coefficient between knowledge meshes are defined considering three aspects of quality, quantity and complexity. The...
This work synthesizes the structures of the foot-operated silk-reeling mechanism, which was vaguely depicted in many literatures in ancient China. Based on the analysis of the mechanism, the structural characteristics and design constraints of the mechanism with indeterminate links and joints are concluded. Then, according to the concepts of generalization and specialization subject to the concluded...
To solve the automotive sequencing problem in final assembly shops, the spacing constraints of the final assembly shop are explicitly discussed. The spacing constraints are proved to be a sufficient condition for the capacity constraints. On the basis of those, the spacing constraint inequalities with utility workers are presented. An integer programming model is presented where the cost of utility...
In order to forecast product demand on the conditions of demand changing abruptly, this paper presents a product demand forecasting net model for fast forecasting, the model forecast demand of product by analyzing and using factors which influence product demand, such as price changes of product, supply changes of product, and demand changes of competing product and materials. Theoretical analysis...
Aiming at the product demand series with multi-dimension, small samples, nonlinearity and multi-apex in manufacturing enterprise, chaos theory is combined with support vector machine, and a kind of chaotic support vector machine named Cv-SVM is proposed. And then, a product demand forecasting method and its relevant parameter-choosing algorithm are put forward. The results of application in car demand...
Based on the finite automata theory, a thinking of distributed deadlock supervisor is proposed to avoid deadlock in Knowledgeable Manufacturing Systems, which is insensitive to system size and improves the efficiency of automata modeling and operating. The conception of the auto-correlation operation is presented, then the corresponding distributed deadlock supervisors are constructed, and thus the...
To overcome deficiency in the global capacity of a single dispatching rule, it is very important to select a dispatching rule in real time in dynamic scheduling. Although some literature addresses the method of selecting dispatching rules, little literature requires no domain knowledge or accurate training examples, which is rather difficult to acquire for the real production system. In order to obtain...
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