The flagship firm in the supply chain integrates resources through SCM (Supply chain Management), optimizing the information flow，logistics and capital flow in the supply chain to obtain long-term competitive advantage and enable firm to enhance market response and competitive capacity. It has many abilities to get economy rent through implementation of SCM, flexible production capacity is one of those abilities. Based on the view of real options, this paper regarded this ability as a call option. Construct a model to analysis the value of flexible production capacity. Calculate the option value using Monte Carlo simulation，Matlab programming. Illustrate a numerical example and make a parameter sensitivity analysis.

In this paper, Discrete Hopfield Neural Network (DHNN) is adopted to realize handwritten characters recognition. First, learning samples are preprocessed including binarization, normalization and interpolation. Then pixel features are extracted and used to establish DHNN. The handwritten test samples and noise corrupted samples are finally inputted into the network to verify its recognition performance. Simulation results reveal that DHNN has good fault tolerance and disturbance rejection performance. In addition, the recognition system is realized with MATLAB neural network toolbox and GUI, which verifies the feasibility of the algorithm.