Integrated Logistics for Dep/Gard

Topics: Average, Time, Arithmetic mean Pages: 13 (2516 words) Published: August 2, 2013
Systems Engineering Department
SE 405 (062)
Lab # 1


Objective 1: Introduction to Simulation.

A comprehensive introduction to the problem of simulation is given in this lab. The students are introduced to the area by giving several examples from daily life. The different nature of simulation-based programming is emphasized. The concepts of timing and event list are illustrated through the use of relevant examples.

Introduction to the following concepts:
1. Need of simulation in real world problems.
2. Objectives attainable by simulation.
3. Use of simulation as a tool for solving complex problems in real life. 4. Different ways of simulation of problems.
5. Use of programming languages in simulation.
6. Different commercial packages like Awesim and ProModel.
7. Reliability of the results.
8. Single server queuing problem and its variations.

Objective 2: Understanding Manual Simulation.

To enable the students to perform manual simulation. This lab will guide the students in understanding the basic operations behind a simulation problem in a step-by-step process.

Things to do:

To conduct manual simulation the following is needed.
1. Define objectives of the single-server queue simulation problem. 2. Initialization of the problem.
3. Define Events and Event List.
4. Understand How to update state variables every time an event happens. 5. Understand the collection of statistics.
6. Stopping rule.


The students are requested to perform manual simulation as given in the example from the textbook for the single server queuing model. Tables are provided for recording the stepwise change in the state variables and different parameters. Systems Engineering Department

SE 405 (062)
Lab # 1



Single Server Queuing System – Manual Simulation.

Consider the Example given in Page 11 in your text book for single server queuing system. Event wise Table representation on manual simulation is explained. The explanation in the book is done till the number delayed reaches to 6. Using the following data, continue working on the same problem till the number delayed reaches 10.

Arrival Times: A1=0.4, A2=1.2, A3=0.5, A4=1.7, A5=0.2, A6=1.6, A7=0.2, A8=1.4, A9=1.9, A10=0.8, A11=1.2, A12=0.2, A13=1.0, A14=1.5, A15=0.5.

Service Times: S1=2.0, S2=0.7, S3=0.2, S4=1.1, S5=3.7, S6=0.6, S7=1.0, S8=0.5, S9=1.5, S10=2.0, S11=1.2, S12=0.5, S13=1.3, S14=1.5, S15=0.5.

Calculate the following performance measures when you stop the simulation at the number delayed as 10 customers.

a) Average number of customers in the Queue.
b) Average delay per customer.
c) Utilization of the server.

Also Provide the graphs for the number of customers in the queue Q(t) and the Utilization of the server B(t). Systems Engineering Department
SE 405 (062)
Lab # 2



To enable the students to perform a simple single server simulation using ARENA.

A handout for introduction to ARENA basic modules and a step wise manual for single server simulation model is provided to the students.

Things to do:

• Introduce the flow chart and data modules of ARENA.
• Develop a single server model as per the data in the handout provided. • Compare the manual simulation with the model whenever required. • Obtain the SIMAN report and extract the results for the average waiting time of the customers, average number of customers in the queue and the average utilization of the server. • Further discuss the other related and significant results from the SIMAN report as well as the other reports from the reports panel. Systems Engineering Department

SE 405 (062)
Lab # 3

Enhancing the single server model

Objective: Enhancing the single server model build in the previous lab and introduce the DECIDE module in...
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