SIMULATION FOR BUSINESS FALL 2010

BUS 125, FALL 2010

 

MGT 239, FALL 2010

 

• Office hours:   R 3:30 PM -5:30 PM , or by appointment, Anderson Hall 221
• Homepage:    http://ilearn.ucr.edu
• Prerequisite:  basic probability and statistics, Excel
• Required text: Applied Simulation Modeling, by Seila, Ceric and Tadikamalla, Duxbury Press, 2003
• References:
  Probability Models for Economic Decisions, by Roger B. Myerson, Duxbury Press, 2005
  Simulation, by Sheldon M. Ross, Academic Press, 4 edition, 2006

SCHEDULE (Chapters 1-4, 10, & Appendix)

1. WEEK I
   1. Syllabus and the tentative schedule
   2. Introduction of simulation: system, analytical and simulation model (Chapter 1)
   3. HW1 due at 9am, Sept. 28 on iLearn.
   4. Excel tutorial: 1, 2, 3 , add-in
   5. Reading:
      Chapter 1 (introduction)
      Appendix (review probability and statistics for week II)
      Math will rock your world

      

2. WEEK II
   1. Review basic probability (Appendix)
   2. Random variates generation (Chapter 2.5)
   3. Compute by simulation (Chapter 2.4)
   4. Simulate a sale promotion model (Chapter 2.2)
   5. HW2 due at 9am, Oct. 5 on iLearn
   6. Project team sign-up: BUS 125, MGT 239
   7. Reading: Chapter 2.2, 2.4, 2.5

       

3. WEEK III
   1. Inverse transform method for generating random variates (chapter 2.5)
   2. Simulate a dinner deal
   3. Sample project topics (iLearn)
   4. HW3 due at 9 am 10/12/2010, on iLearn.
   5. Reading: chapter 2.5, 2.6
      
4. WEEK IV
   1. Newsvendor model (chapter 2.6)
   2. Simulate a one-period inventory model
   3. Simulate an insurance model (chapter 2.9)
   4. HW4, due at 9am on Oct. 19, iLearn.
   5. Reading: chapters 4.1, 3.1, 3.2, 3.3, 3.4
      
5. WEEK V
   1. Dynamic simulation (chapter 4.1)
   2. Simulate the evolution of a stock’s price (chapters 3.1, 3.2)
   3. Pricing Asian options (chapters 3.3, 3.4)
   4. Risk management and financial hedging with options
   5. HW5 due at 9am on Oct. 26, iLearn
   6. Reading: Chapter 10 for team project 

      
       

6. WEEK VI
   1. Evaluating investment strategies
   2. A dynamic, multiperiod supply chain management problem
   3. Project proposal due at 9m on Oct. 28, iLearn
   4. HW6, due on Nov. 2, 9am on iLearn
          
      
7. WEEK VII
   1. Pricing strategies and inventory control
      
       
   2. Nov. 4, Thursday: Midterm 1, open book/notes, 80 minutes
   3. HW7, due on Nov. 16, 9am on iLearn
8. WEEK VIII
   1. Nov. 9, Tuesday: team project meeting
   2. Nov. 11, Thursday: Veteran’s day
9. WEEK IX
   1. Revenue management
   2. Auctions and bidding: auction house
   3. Project interim report due on Nov. 18, 9am on iLearn
   4. HW8, due on Nov. 23, 9am on iLearn 
      
10. WEEK X
    1. Nov. 23, Tuesday: Midterm 2, take home, open book/notes
    2. Nov. 25, Thursday: Thanksgiving holiday
11. WEEK XI
1. Dress code for project final presentation
2. BUS 125 Schedule:
   Investment Portfolio, Jack Gillete, Kevin Lim, Kevin Luangpraseuth, Geremy Mason
   Supply Chain Management as a Function of Reliability and Price, Linda Tong, Rebekah Wong
   Modeling the spread of HIV, Ashlee Yee, Pheobe Nguyen, Daniel Avila
   Airline Overbooking Simulation, Gloria Feng, Gerard Holland
3. MGT 239 Schedule:
   Simulating the Photovoltaic Market in Riverside, Huiqing Ma,Isaac Lee,Meng Mu, James Yang
   Stock Price Forecasting, Danxi (Max) Cao, Yilun Li, Nobuhiro Namba, Sang Eun Park
   Profit and Customer Satisfaction, Matteo Campanerut, Dandan Chen, Sebastian Dombrowski, Ting Luo
   Business Development of start-up Online retail store, Zach STewart, Lucy Nagawkar, Deepak Kumar, Vikranth karmegam
   N-Mac Carrier and Freight Service, Aaron Chang, Lan-Hsin Hsu, Min-Chen Wu, Yasar Numan AKSANYAR
   Black Jack Simulation, Keerthi Madhav Rasenini, Xishi (Florrie) Wang, Firas Al-Sayegh, Melissa Perez
   Black Jack Simulation, Yim (Glenda) Lang, Thao Nguyen, Sheri Staszewski, Cong (Steve) Zhou
   Flower Store Management on Valentine’s Day, Joseph Liao, Haifeng Yao, Minghui Zhong, Yan Zhong
4. Presentation slides
12. FINAL WEEK
    1. Project final report due, Dec. 7, at 9am on iLearn
    2. Peer review report ude, Dec. 7, at 9am on iLearn