441 بحث : النمذجة والمحاكاة

توليد الأرقام العشوائية، توليد المتغيرات العشوائية، اختبارات المولدات العشوائية، طرق وأساليب مونت آارلو، تحديد توزيعات المدخلات في نماذج المحاآاة، تحليل مخرجات المحاآاة، تقييم البدائل باستخدام المحاآاة، لغات المحاآاة، تطبيقات متنوعة .(SLAM, GPSS , ARENA) للمحاآاة في بحوث العمليات باستخدام بعض لغات المحاآكاة

المتطلب السابق: 215 إحص و 202 عال

Instructor:
            Name: Dr. Khalid A. Alnowibet
            Office: AB 27 Building 4
            Tel. : 011- 4676335/4676334
            e-mail: knowibet@ksu.edu.sa Use “OR472” in the subject
 
Lectures:
Sun., Tues., Thur.        11:00 am to 11:50 am
 
Section:
            Sun.: 2:00pm – 4:00 pm
            By Dr. Khalid Alnowibet
 
Office Hours:
For any questions or inquiries about the lectures students can email their question and their questions will be answered promptly. For meeting with instructor is available on:
Mon., Wed.   8:00 am to 11:00 am or by appointment
 
Attendance:
Students must attend all lectures on time. Students with absence of more than 25% of total classes will not be legible to attend the final exam. There is no marks designated to attendance, however, students with attendance exceeding 95% may get bonus if needed.
 
Text books:

  1. Simulation Modeling and Arena” By Manuel Rossetti (Ch. 1, … , 10)
  2. Simulation with Arena” ByDavid W. Kelton, Randall Sadowski, Deborah Sadowskiel. Available PDF online
  3. “Operations Research: Applications and Algorithms|” , By Wayne L. Winston (Ch. 21, 22, 23) Available PDF online
  4. “Operations Research: An Introduction”, Hamdi Taha, (Ch. 19) Available PDF online
  5. Other materials available in Arabic By Dr. Adnan Barri

 
 
 
 
Grading

  1. Attendance, Homework, Quizzes 10%
  2. < >First Midterm Exam20 %
  3. Second Midterm Exam20 %
  4. Final Exam40 %

 
 
Quizzes
Almost every lecture there will be a small quiz on the material presented in the lecture. The purpose of these simple, quick and frequent quizzes is to keep students focused and grasp their attention throughout the lecture.
 
Projects
There will 2 projects on the semester that requires student accumulated knowledge during the course. The projects are intended to be applied to help students see the impact of what they learn in the real life problems. These project should be performed independent be the student with the aid of the instructor or the TA.
 
Course Outline and Tentative Schedual:
 

Topics Weeks
2
  1. Simulation Modeling
1
3
  1. Generating Random Numbers
2
4
  1. Spreadsheet Simulation
2
5
  1. Introduction to Simulation in Arena
2
6
  1. Modeling Basic Processes
2
7
  1. Modeling Randomness in Inputs for Simulation
2
8
  1. Analyzing Simulation Output
2
9
  1. Modeling and Simulating Some Real life Systems
3