ms lecture00 outline sem2 2011
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OPIM 101 Management Science Sem 22011/2012 1
OPIM 101
Management Science
Outline
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OPIM 101 Management Science Sem 22011/2012 2
Marcus Ang
Office:
Lee Kong Chian School of Business,
Level 4, Room 4040
Tel: 6828 0703
Email: [email protected]
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OPIM 101 Management Science Sem 22011/2012 3
OPIM 101 Management Science
What is management science (MS)?
Course Objective & Prerequisite & Textbook
Course assessment
Important Dates
What you can expect from the course
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What is Management Science ?
With the intent of achieving desired ends, MSworkers then apply these results to problemsin the reality from which the observations
emerged.
A scientific approach to decision making, which seeks to determine
how best to design and operate a system, usually under conditions
requiring the allocation of scarce resources.
It is also known as Operations Research.
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MS methods
Optimization
Linear programming
Nonlinear programming
Combinatorialoptimization
Dynamic programming
Network/transportation
Scheduling
Forecasting
Game theory
Stochastic modelling Markov chains
Queueing
Simulation
Examples of MS
Applications Capital budgeting
Portfolio optimization
Risk management
Credit scoring
Option pricing
Patient flow modelling
Supply chain optimization
Marketing channeloptimization
Campaign optimization
Production planning Facility location
Vehicle routing
Inventory management
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Other examples:
Source: http://www.scienceofbetter.org/
Continental Airlines applied OR to revise crewschedules during the Sept. 11 terrorist crisis. Thesavings were estimated at $40 million in 2001 alone.
AT&T applied OR to plan emergency rerouting ofvoice, data, wireless and satellite communicationsystems. Efficient allocation of resources woncustomer loyalty, increased revenue and savedhundreds of millions of dollars.
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Other examples:
Samsung used OR to reduce manufacturing times tocapture an additional $1 billion in sales ofsemiconductor devices.
Using OR, UPS redesigned its overnight deliverynetwork, saving $87 million and projecting anadditional $189 million savings over the followingdecade.
National Broadcasting Company (NBC) applied ORto improve advertising sales plans, increasingrevenues by some $200 million.
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Course Objective
This module introduces students to some of the basicconcepts and methods of management science.There is a strong focus on quantitative models:
- how they are created- how they are used- what kinds of insights they provide- the critical importance of managerial judgment in utilizing those
insights.
Computer applications, including the use ofspreadsheets and of many popular special-purposesoftware packages, are integrated throughout themodule.
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Prerequisite :
Students are assumedto have basic knowledge of probability,including familiarity with concepts such as: expected value,variance, Poisson and Normal distributions, and conditionalprobabilities.
Prior Working knowledge ofMicrosoft Excel is helpful, but NOTnecessary.
There will be one session for learning excel solving. Excel will be used in assignments.
No laptops are allowed in midterm/final exams, hence excel isnot used. However, interpretation of the excel results is tested.
Knowledge ofmatrix algebra and computer programming notassumed.
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Author : Bernard W. Taylor
Publisher : Pearson
ISBN : 9780132457576
Now available at SMU Booklink!
Introduction to
Management Science:
Global Edition 10th ed
Companion Website
http://www.pearsonhighered.com/taylor
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Questions on Textbook
I have the 9th Edition Taylor. Is it sufficient?
How about the Online version of thetextbook?
Where can I purchase the textbook?
Are there any cheaper alternatives other thanpurchasing the textbook? Any
disadvantages?
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Tentative Schedule
Tuesday, Jan 24th is a holiday. The makeup class isofficially on Sat 4th Feb.
Term Week Schedule Reading Materials Event Week
Term 1
1 Intro to MS, Modelling Intro to LP Chp 2,3,4 9-Jan-12
2 LP: Graphical Analysis LP: Sensitivity Analysis Chp 2,3,4 16-Jan-12
3 LP: Solving with Excel Excel Practice Chp 2,3,4 No Classes on Tues, 24/1. 23-Jan-12
4 Integer Program Assign Review Chp 5 Make up for Tues on Sat 4th Feb 30-Jan-12
5 Network Models Assign Review Chp 6,7 6-Feb-12
6 Network Flow Midterm Review 13-Feb-12
7 MIDTERM MIDTERM 20-Feb-12
8 RECESS RECESS RECESS 27-Feb-12
9 Network 2/ Newsvendor Assign Review Chp 16 5-Mar-12
10 Decision Analysis Decision Analysis Chp 12 12-Mar-12
11 Project Management Assign Review Chp 13 19-Mar-12
12 Project Management Assign Review 26-Mar-12
13 Exam Review Exam Review 2-Apr-12
14 Exam Preparation 9-Apr-12
15 Final Exam Tues. 24/1, 0830-1030 16-Apr-12
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Lecture Style
There will be a break of 10-20min every45min to 1 hour of lecture.
Tuesday - 12pm to 3:15pm, 7pm to 10:15pm
Wednesday - 7pm to 10:15pm
Thursday - 12pm to 3:15pm, 7pm to 10:15pm
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ASSESSMENT METHOD
Homework Assignments: 20%
Class Participation: 10%
Midterm Exam: 30%
Final Exam: 40%
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Assignments
6 homework assignments. A hardcopy of the assignment is to be submitted.
Late submission will be penalized.
Penalty depends on the situation. For example, thereis a 100% penalty if you submit the assignment 1 justbefore the final exam.
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Collection of Assignments
It is your responsibility to inform me if you didnot receive your graded assignment after theassignments are given out.
Eg. There will NOT be any verification ofmarks if you tell me your assignment 1 ismissing (due before 3rd week) on week 11.
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Do NOT misplace your assignments. They might be used to verify yourfinal grade for Assignment.
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Class/Course Participation Grading is like A BLACK BOX and challenging to me!
A more transparent grading procedure:
Average grade
Good
Poor
Attend Lecture regularly
Seldom attend classes
Skip mid-term/ final exam
Answer questions in class
Ask constructive questions in class.
Point out mistakes during lecture which will
affect the underlying theory/concepts.
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Class/Course Participation
If you have made any form of contributionduring class, email me during that week.
It is your responsibility to remind me.
Title of email: Class Participation
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MID Term Exam
To be scheduled on lecture 7 (lecture time).
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Final Exam
Important dates to remember:
24
th
April 2012,8:30am 10:30am
Venue to be decided by RO
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Final Grade
Based on the components as mentioned.
The final grade is based on relative marks.
The absolute grade is not important.
It is possible that Components A+,A+,A+,A+ but final
grade is A,or Components B,B,B,B but final grade is A
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How do I do well for the course?
Do Assignments. The assignments are the bare minimum thatyou should know to pass the course.
Clear any doubts as early as possible. Approach me or TAs forany clarifications.
Kennie ONG Zhi Hao
Vanessa NEO Siok Ting
GOH Chin Yan
VUONG Thi Thanh Van
TOK Pei Yi
Understand the concepts. Memorizing the answers is notadvisable.
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Consultation Hours
Wednesday 2pm-330pm. (tentative)
Feel free to email me any questions. In your
email, cc to your assigned TA.
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FAQ
I will upload a file with frequently asked questions.
You will find questions which I have answered overemails in the file.
Check it before you send me any questions as yourquestion may have been answered in the file.
More Effective!
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What You Can Expect From The
Course
Gain an overview of Management Science
Understand some of the important ideas andtechniques in Management Science
Formalize our intuition
Acquire framework to formulate problems
Appreciate the spreadsheet as a useful tool forproblem solving
Overall, should be a solid but not overly tough course
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Questions?