Discrete Event Simulation

Contents

1-Introduction1

2- Case study I: Quality Enhancement of Manufacturing Process by Simulation Technique:3

2-1 Case study Summary & description of the problem3

2-2 The Original layout4

2-3 Appling the Simulation technique to achieve quality enhancement5

2-4 Benefits and difficulties applying Flexsim5 to the process5

2-5 Functions & users6

3- Case study II: Discrete Events Simulation as a Tool in Optimization of a Professional Complex Adaptive System (Health care).7

3-1 Introduction7

3-2 Case study summary8

3-3 Main Problems and issues in the case study8

3-4 Building suitable simulation model to overcome the problems and the difficulties associated with it.9

3-5 Benefits of the applying the simulation model10

3-6 Functions of the applied Model11

4 - The use of DES techniques in the business environment.12

5- Limitation of DES13

6- Conclusion14

7-References16

Discrete Event Simulation

1-Introduction

There are three types of simulations that exist these days which includes discrete event, continuous and Monte Carlo. In this paper we will focus over different aspects of discrete event simulation. Discrete event simulation consists of logical and mathematical model of physical system that corresponds to the state changes. The simulation conducted at a particular event of time is regarded as discrete event simulation. The combination of mathematical and logical techniques and construction of conceptual framework is used to describe a system. The system is further simulated by performing several experiments using the computer implementation in order to observe the performance from the output. This further helps in decision making. Discrete event simulations are used by different industries to manage and simulate different processes. In late 1990's when discrete event simulation was introduced it helped in bringing different radical changes in the industries. The software industry behind the designing of the simulation software's also had great changes within it. (Liston, 2008, p.1336).

Events in the DES normally take place in real world, simulate their different perspectives on event by event basis and develop a detailed report over the performance of the system. DES have become one of the powerful decision making tool by the industries due to availability of computer systems. Commonly the systems are studied performing different experiments on the actual system and sometimes performing experiments on the model of the actual system. This software's gradually started making their place in the industry to solve the different prevailing problems and to make the existing systems more effective. Till now four generations of the simulation software products have been evolved. The first generation of simulation software was developed in 1960 that contained programming high level language such as FORTRAN. The programmers in this approach modeled both the programming language and the code to have a control over the system. The second generation was developed in 1970. In this approach the model was compiled in the form of the simulation language and then the model was supplied with subroutines to produce an executable model. The third generation was developed in 1980 in which the generated code is compiled to produce an executable model. This approach reduced the model development time however this still required a modeler to master all aspects of the simulation ...