BA 353: Operations Management {Spring 2021}
General Course Material:
Exam 3 Material: (April)
Take Home Exam 3 (Simulation). Problem 3 Portfolio Data.
Individual Exam 3 (Inventory/EOQ). Emailed to you on 4/22.
Notes:
·
F
4/9: Discuss Exams, Finish simulation
of project from 4/5. File.
·
M 4/12: Do Sim Example B) – Complete file from class.
·
W 4/14: Do Sim
Example D)
·
F 4/16: ICE 9 – find on Canvas
·
M
4/19: Intro to Inventory Control
·
W 4/28: Review Last ICE, course, and
questions.
Topic
5: Simulation
·
Simulation Examples: A) Project Simulation, B) Investment, C) Investment,
D) Inventory Control
Topic 6: Inventory
How to Learn About Inventory
Control/EOQ Model
1) Open the Inventory Handout.
a. Read problem A, watch these
videos iv1, iv2,
iv3 and look at this cheat sheet cs1.
b. Read problem B, watch this
video iv4 and look at this cheat sheet cs2.
c. Read problem C, watch this
video iv5 and look at this cheat sheet cs3 or look at this Excel file: C) on Excel
2) Or, read this document and look at
the three cheat sheets: cs1, cs2, cs3.
3) Get help from me if you get
stuck on something.
Exam 2 Material: (March)
Take Home Exam 2 (McDonald’s)
Individual Exam 2 (Emailed to you on 3/29 at 10:30am.)
Answer
Keys: Excel
Notes:
· W 3/3: Start LP: Linear Programming, Spreadsheet.
·
F 3/5: *** Online Class *** Finish
first LP example, start ICE 5
·
M 3/8: LP
Example B) (from LP Handout)
·
W 3/10: Check
on $FIVG, $ILCN, Solve LP Example C)
·
F 3/12: Complete
ICE 5
·
M 3/15: Start
“Hard” LPs. Set up Hard LP 1), try 5).
·
W 3/17: Solve
Hard LP 1) with Solver.
·
F 3/19: Work
on HW3 & HW 4, ICE 6
(on Canvas)
·
M 3/22: Intro
to Take Home Exam 2
·
W 3/24: New
Topic: Project Management (CPM) – this will be (optional) review for students
in Project Management class. Example.
·
F 3/26: Work
on THE
2 and ICE 7
·
Week
9: Complete all LP
work. ICEs 8.1 and 8.2.
·
M 4/5: Simulate a project with
variable activity times.
·
W 4/7: Day off, no class!
Topic 3: Linear Programming
Weeks 5 & 6 (3/1 – 3/12) Material
*** Homework 3 Answer Key ***
Week 7 (3/15 – 3/19) Material
Topic 4: Project
Management/CPM
Week 8 (3/24 – 3/26) Material
Week 10 (4/5 & 4/9)
Material
·
Watch this video for an intro
to Simulation of a Project. Video Intro PM Sim
Exam 1 Material: (February)
Take
Home Exam 1 (Due Date TBD): StoneAge
Data, Ska Data
You may work on this exam individually or in teams of up to three students, as long as each student on the team is dedicating full effort to it. I encourage you to work together on this one but no freeloaders.
Individual Exam 1:
· This exam is to be completed individually.
· I will send it to you via email (when TBD).
· Normally, this would be a timed, in class exam with no notes but there is no way to pull this off this term with everything that is going on and since I don’t care for those lockdown browsers. So, you can consult your notes, previous assignments and spreadsheets, etc. and there will be no time limit.
· There are multiple versions of this exam. Any evidence of cheating will be dealt with ruthlessly – don’t do it.
Notes:
· F 1/29: Attend class on Zoom at 8am or 11:15am. Slides.
· M 2/1: Start Topic 1: Decision Analysis
· W 2/3: More Decision Analysis
· F 2/5: Work on ICE 2, start ICE 3, start HW 1 ?
· M 2/8: Solve Example B using clever Excel functions.
Expected Value of Perfect Information (EVPI)
· W 2/10: Minimax Regret Criterion, Break-Even Analysis, ICE 3
· F 2/12: Finish ICE 3 . No regular class, office hours instead from 8am to noon.
See Canvas announcement for details.
· M 2/15: Forecasting: The Art and Science of predicting future events.
· W 2/17: Buy a stock that has good forecasts, work on ICE 4.
· F 2/19: Complete problems 1 and 2 of ICE 4 (we’ll learn problem 3 on M 2/22).
·
M
2/22: Seasonality: Data patterns vary by
“season.”
·
W
2/24: No class!
·
F
2/26: Complete ICE 4, Start
THE 1, Discuss Individual Exam 1
·
M
3/1: Take Individual Exam 1 – where/when your choice, no
formal class meeting, I will have office hours.
Intro to OM:
· Homework Assignment 1 -- Update on Problem 4
· Chapter: Intro to OM -- Available on Canvas.
o
Answers: 1) 36.9, 36.5, 9.45; 2) $370k; 3) 20%, 75%,
5%; 4) y = 4.5x + 69149, if x = $50k, y = $295k, r = .98 which is a strong
positive correlation, good fit, very linear; 5) $5k/$15k = 33%.
Topic 1: Decision Analysis
Week 1 (2/1 – 2/5) Material
Week
2 (2/8 – 2/12) Material
Watch both of the videos below – MMR and
Break Even – before class on W 2/10…
·
Minimax Regret:
o Videos
and Wikipedia Example
Topic 2: Forecasting – The Art
and Science
of
predicting future events.
Week
3 (2/15 – 2/19) Material
Week
4 (2/22 – 2/26) Material
·
Seasonality