Aspects Regarding some Simulation Models for Logistic Management

Determining the Mechanical Properties of a New Composite Material using Artificial Neural Networks

“…There are numerous examples of using ANN for the successful modelling of the most diverse processes and activities. Activities that belong to the field of management [4] [5] or different industrial processes [6][7] can be considered. Their applications are also known in the analysis and forecasting of weather conditions and climate change [8] [9], with implications for agriculture [10].…”

“…The results are presented in Table III. The input data were chosen so as to form certain groups:  Group 1: inputs that have the layers oriented the same (1 and 2), and the tensile forces opposedpairs of rows (1,16), (3,17), (5,18), (30,35);  Group 2: inputs that have the same values as some of the training data -(1,0), (1,45), (1,90), (2,0), (2,45), (2,90);  Group 3: input pairs that have their layers oriented the same (1 or 2), and the traction forces acting on directions symmetrical to the direction of the training forcepairs of rows (1,4), (6,9), (11,14), (20,23), (25,28), (30,33);  Group 4: the rest of the data.…”

“…, (30,35);  Group 2: inputs that have the same values as some of the training data -(1,0), (1,45), (1,90), (2,0), (2,45), (2,90); Group 3: input pairs that have their layers oriented the same (1 or 2), and the traction forces acting on directions symmetrical to the direction of the training forcepairs of rows(1,4),(6,9),(11,14), (20,23), (25,28), (30,33);  Group 4: the rest of the data.…”

Contributions Regarding the Possibility of Increasing the Milling Process Efficiency

“…[15] We used the data from table 1, having in the input data the material and the obtained surface for stainless steel with no vibration; in the output layer we used the finishing surface.The software package used for developing and running the neural network is Mathlab, a very accesible software.The software was choose because of the multitude of options they offer The Levenberg-Marquardt algorithm was used for training and the MLP (Multilayer perceptrons) training was done automatically using the elaborated software package. [16] 222 Engineering Decisions and Scientific Research in Aerospace, Robotics, Biomechanics, Mechanical Engineering and Manufacturing…”

Raw Material Stock Analysis in a Supply Chain

“…Policy 1: No collaboration and no management benefit Policy 2: Collaboration between supplier service, stock management and production Noting with "S" the stock size, with "T" the supply service, and with " s t Q " the production. The relation between the stock level and production has the form: [8] s t…”