Course work on the topic: optimization of the work of road PAS on the road of category 4

Contents

Introduction

1 Building a Conceptual Model

1.1 Setting of simulation task

1.2 Modeling Task Analysis

1.3 Initial information characterizing system behavior

1.4 Definition of parameters and variable models

1.5 Establishing the basic content of the model

1.6 Rationale for modelling criteria

2 Incompatimization of the system model

2.1 Construction of logic diagram of TR zone operation simulation

2.2 Obtaining Mathematical Relations for Description

functioning of the system

2.3 Choosing Computing Tools for Modeling

3 Regression analysis of system operation

3.1 Development of computational experiment plan

3.2 Manufacturing Process Simulation Results

3.3 Estimating the significance of the coefficients of the regression equation

3.4 Assessment of the adequacy of the mathematical model

4 Optimization of number of TR zone posts

4.1 Process Optimization Methodology

4.2 Justification and selection of process equipment and

TR area organizational tooling

4.3 Optimization Results

Conclusion

List of literature

Introduction

Modeling is the process of replacing a study object with some of its model and conducting studies on the model in order to obtain the necessary information about the object. A model is a physical or abstract image of a simulated object that is convenient for conducting research and allows you to adequately display the physical properties and characteristics of the object that are of interest to the researcher. The ease of conducting research can be determined by various factors: the ease and accessibility of obtaining information, reduced time and reduced material costs for research .

Modelling methods are used to varying degrees in all areas of human activity. This applies, including to the management of various systems, the main ones are decision-making processes based on the received information. The modeling process assumes the presence of a modeling object, a study model. Modeling reduces the time to evaluate the intended solutions, to draw up alternatives. The perspective of simulation modeling increases with the increase in the speed and RAM of computers, with the development of mathematical support, with the improvement of data banks and devices for modeling systems.

Any modeling process should assume the presence of a real object, researcher and model being created. In this course work, the object of modeling is the TR zone of the road PAS on the road of category 4.

The total profit of PAM and its financial condition depend on the successful operation of the TR zone.

Building a Conceptual Model

1.1 Setting of simulation task

The main general task of modeling is the TR zone of the road PAS on the road of category 4.

This optimization can be accomplished in various ways:

- by increasing the capacity of the section, characterized by the average service time, the average waiting time in the queue and other indicators;

- by optimizing maintenance costs, which are determined by factors such as equipment, cost-effectiveness of the equipment used and others.

To implement the modeling task, it is most expedient to use a mass service system (SMS). Using it, we will be able to establish a relationship between the input flow of applications, the performance of the system and its success.

Since during modeling we will use SMS, when solving the problem it is necessary:

- generate an input data stream;

- to conduct an experiment with the help of computers at different input data, system characteristics;

- obtaining the results of the experiment (output data), perform regression analysis, that is, obtain an analytical dependence;

- assess the adequacy of the model received;

- make an economic calculation at different number of jobs and choose the optimal number of posts.

Conclusion

During the course work, modeling of the TR zone of the road PAS on the road of category 4 was carried out.

In the first section, a conceptual model was developed, namely, a modeling task was set, a task was analyzed, initial information about the system was selected, and parameters and variables of the system model were defined. The content of the model was also established, the modeling criteria were justified.

The second section shows the algorithm of the corresponding model.

In the third section, the input values of the model were encoded and a plan spectrum matrix was compiled. Simsim.exe was then simulated. The simulation results are presented in the same section. A regression model was also calculated and regression equations were compiled for two selected factors influencing the behavior of the system. The coefficients of the regression equations were also tested for significance. After that, the obtained models were checked for adequacy. Verification showed that both models were adequate.

In the fourth section, the optimal number of TP posts was established using the simulation, at which the specific total costs are minimal. This number is equal to 2 posts. At the same time, the unit costs amounted to 123.53 c.e.