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This paper established distance education model of knowledge transmitting, which aimed at the spread characteristics of distance education network in general colleges and universities, based on the theory of complex networks. The model simulated and analyzed if it existed that individual who learned by distance education network excluded increasing of knowledge level. In the proposed model, the Cobb-Douglas...
Efficient management of inventory in supply chains is critical to the profitable operation of modern enterprises. The supply/demand networks characteristic of discrete-parts industries represent highly stochastic, nonlinear, and constrained dynamical systems whose study merits a control-oriented approach. Minimum variance control (MVC) strategy is applied to solve the dynamic optimization problems...
Using a characteristic function method the mixing property and ergodicity of strictly stationary continuous-time linear random process driven by process with independent increments have been proven.
The option contract is one of the effective financial instruments for avoiding risk. There always exists the risk in supply chain especially when facing uncertain or random demand. By introducing the real option into a two-stage supply chain, the part of the buyer risk due to demand uncertainty can be shifted to the supplier, and the supplier, in turn, is recovered by the additional revenue obtained...
By the theory of stochastic dynamic programming, we provide the methods for deriving the optimal rules. In this paper, we make two models in dynamic state process to maximize the expected utility of the agent and then obtain the famous Hamilton-Jacobi-Bellman equation. Furthermore, we derive explicit form solution and closed-form solution of the optimal equations for given utility functions.
In this paper we propose an approximate solution to the inventory stochastic continuous review (Q, r) problem with two storage facilities, an owned warehouse (OW) and a rented warehouse (RW). We show that the reorder point obtained from the (Q, r) model with two warehouses is smaller than the one generated from the unconstrained classical continuous review model and larger than the one derived from...
This paper describes a model that seeks to simultaneously optimize the location of multiple-server, congestible facilities in order to realize company's maximal total captured demand. The effective demand at each customer demand node is elastic to the travel cost to the facility, and to the congestion at that facility. We propose a greedy heuristic for the resulting problem formulation, and provide...
This paper describes a simple way to estimate a recently introduced nonlinear stochastic power market model based on the stochastically resonating spiking mechanism.
Four techniques for constructing reduced order models are compared. The techniques are based on: 1) truncating the balanced realization; 2) Laguerre series expansion; 3) Kautz series expansion; and 4) continued fraction expansion. These techniques was used to construct reduced order models for the same (very simple) plant transfer function. Each reduced order model is then used to design a controller...
Feature extraction of specified object is an important preprocessing stage in machine vision systems. In this paper, we present a novel hybrid feature extraction method using PCNN (Pulse Coupled Neural Network) and shape information. First, we use PCNN firing map train to formulate object’s time signature, then we use roundness of each firing map to formulate object’s shape information vector, the...
The method of variational inequalities is a useful theoretical tool in stochastic control, but there are few problems in which this method leads to an explicit solution. We present such a problem drawn from portfolio management. An agent can distribute his wealth between two investments, one risky and the other risk-free. He can also consume his wealth, and wishes to manage his portfolio and consumption...
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