Essay On Maeed Problem

Rough approximation of the machine service rate μ based on the statistics from first 5 days:

1. Detailed Explanation: People should recycle their paper and plastics instead of burning or sending trash to the dump. Burning trash made of certain plastics and chemicals can cause toxic smoke and air pollution. Also, just throwing away your waste only adds to our Earth’s litter and land and water pollution problems.

The objective is to minimize the total cost of sending the available supply through the network to satisfy the given demand.

The following steps are used to design the back propagation neural network algorithm for the proposed research work. The first step is to set the input, output data sets. The second step is to set the number of hidden layer and output activation functions. The third step is to set the training functions and training parameters, finally run the network.

The training is divided into two phases: learning phase and testing phase. In the learning phase, an iterative which updated the synoptic weights is formed upon the error BP (Back Propagation) algorithm. In the testing phase the number of input and output parameters as well as the cases number influenced the neural network,whereas the trained results is then compared to the target to make a decision about the continuing of the iteration or the obtained results is concluded. The common ANN structure for the three architectures is (3X3), which means three neurons in the input layer and three neurons in the hidden layer. The training of each ANN architecture designs are shown in the following: fig.3, fig.4 and fig.5,

In the fig1 represents the number of nodes varying with respect to the delay as compared with MILP optimal formulation. It explained our proposed algorithm is better than the MILP formulation.

The aim of algorithm C is to find such an optimum for reduced power consumption. To reduce complexity, we will only try to find to minimize the dynamic power dissipated as a result of the computation.

Apart from the single objective functions considered for this problem, a combined function is also used to perform the multi-objective optimization for the FMS parameters. The function and the variable limits are given using following function. Equal weights are considered for all the responses in this multi-objective optimization problem. Hence W1 and W2 are equal to 0.5.

The following formula defines the relationship between the level of electricity produced (P) as a function of Average Wind Speed (AWS) during the period. For 10 ≤ AW S ≤ 90, P = AW S × K and 0 otherwise. Assume K = 1. Revenue (R) is calculated as: R = P × Tariff where Tariff (T ) varies with the production level according to the following formula: T = 50 + 1000 P

One of the most significant devices that control the cost of transporting and supplying power to these units is the idea of peak units and off-peak units; where a load factor is produced and prepares the supplier based on an estimate of prospective demand. It helps the supplier to have a rough evaluation of what the demand may be or when the demand is high and when it is low. This will give the supplier better control level on supply; including

The shipping cost and/or unavailability of transportation between the plants and some locomotive locations will eliminate some of the routes due to cost inefficiency. These routes are the unacceptable routes and will not be considered for distribution from the specified plant. By removing unacceptable routes, Solutions Plus is able to build a linear programming solution to determine which plant/locomotive location combinations are optimal. Based on the shipping cost provided, the routes that are eliminated are as follows:

The A/E shall contact local utility companies to determine available demand-side management programs and nocost assistance

The purpose of the following analysis is to determine whether PowerCo, a medium sized power company in the southeast United States should build a new generator. It is the belief of PowerCo that demand for electricity will significantly increase over the next 10-12 years. In order to meet this demand, the investment in a new generator needs to be reviewed. PowerCo’s Treasury department has prepared financial projections to facilitate the analysis of the investment. This information will be used for the analysis in order to provide a recommendation of whether PowerCo should build or not build the new generator.

A linear formula idea will be used and the decision variables will be labeled as follow:

The Darby Company is re-evaluating its current production and distribution system in order to determine whether it is cost-effective or if a different approach should be considered. The company produces meters that measure the consumption of electrical power. Currently, they produce these meters are two locations – El Paso, Texas and San Bernardino, California. The San Bernardino plant is newer, and therefore the technology is more effective, meaning that their cost per unit is $10.00, while the El Paso plant produces at $10.50. However, the El Paso plant has a higher capacity at 30,000 to San Bernardino’s 20,000. Once manufactured, the meters are sent to one of three distribution centers – Ft. Worth, Texas, Santa