BAN 521 : Prescriptive Analytics Mustafa Hayri Tongarlak Objective - - PDF document

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BAN 521 : Prescriptive Analytics Mustafa Hayri Tongarlak Objective - - PDF document

BAN 521 : Prescriptive Analytics Mustafa Hayri Tongarlak Objective Approach Content Instructor tongarlak@sabanciuniv.edu 1 Become better decision makers! Lose your sleep before your decision, not after it. 2 1 Management Science 3


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Objective Approach Content Instructor

BAN 521 : Prescriptive Analytics

Mustafa Hayri Tongarlak tongarlak@sabanciuniv.edu Become better decision makers!

Lose your sleep before your decision, not after it.

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Management Science

Modeling tools

  • Breakeven analysis
  • Optimization analysis

(linear, integer, nonlinear, network)

  • Risk analysis/dealing with

uncertainty (Monte Carlo simulation, Discrete Event simulation)

  • Forecasting

Microsoft Excel tools

  • Data Tables
  • Goal Seek
  • Solver
  • SolverTable
  • SimulationSupplement
  • @Risk and Precision

Tree or R

About the Course

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Administrivia

Office hours: after class or by appointment

  • Office: SOM 1039
  • Email: tongarlak@sabanciuniv.edu

Assistant Instructor (AI): Sefa Kılıç

  • Office Hours: TBA
  • Email: sefakilic@sabanciuniv.edu

HW submissions:

  • Via SUCourse Assignments
  • HW related inquiries shoud be directed to AI (cc. me)

Week 1 Introduction: Modeling in Excel Weeks 2 – 7 Resource Allocation: Optimization Weeks 7 – 13 Risk analysis: Simulation Week 14 Forecasting ?

Lecture Outline

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Course Evaluation

Categories: Midterm Exam (30 points) Best 5 In-Class Quizzes (2 points each) and 2 Modelling Challenges (5 points each) Best 3 Individual assignments (5 points each) Best 3 Group assignments (5 points each) Final Project (20 points) Note: At least 9 points on individual assignments required to get credit from group assignments

5 points. Complete solution. 4 points. Complete solution with fairly small mistakes. 3 points. Half complete analysis with small mistakes. 1 point. A valid submission with some issues. Analysis may not be right but effort to solve problems and theoretical information. REJECT (0 points). Submission with no write-up OR write-up with no executive summary/conclusion. Assignments due by 9.40am on Tuesday. No late submission. Assignment grades will be announced by Friday afternoon.

Assignment Grading ~ Please read the honor code in the syllabus.

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5 Work individually first, then meet to discuss. NOT “this week I, next week you,…” Group Formation

  • Form groups of THREE by February 27th
  • If you are able to form a group, please submit the names of

group members (in a word doc) to SUCourse

  • If you need a group, please send a request to my email

address.

  • If you want me to put you in a group with a friend, one of

you can email both names to my email address.

  • You won’t have a group until you ask for it!
  • Form diverse groups: Excel, analytical, communication skills.
  • Larger than THREE => less learning, logistics, free rider.
  • Smaller than THREE => less diversity, weaker.

Group Work

Topic may be based on:

  • Your work experience
  • A case from another course
  • A magazine article
  • Even your own imagination!

Evaluation will be based on:

  • Effective use of Excel tools
  • Learning goals and insights delivered
  • Correctness and clarity of the analysis
  • The presentation

Simulation should be used!

Final Project

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  • You must not obtain solutions to the assignments, cases or

projects from other students in the past or present classes.

  • Also, you must not include your name on a group report

if you have not contributed substantially to the group work.

Honor Code

  • Microsoft Excel 2010 or newer
  • Excel Add-ins: Solver, Simulation Supplement, SolverTable.
  • The Palisade Corporation DecisionTools Suite: PrecisionTree,

@RISK, and RiskOptimizer.

  • R and RStudio.

A Gentle Note to all Mac Users: The Decision Tools Suite is not compatible with Mac OS.

Required Software

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7 SimulationSupplement add-in is developed in-house.

  • It adds functions to generate random numbers from Exponential,

Uniform, Triangular and Poisson Distributions. This will aid in doing Monte Carlo simulation and risk analysis in spreadsheets.

  • Will be made available at SUCourse later in the semester.

SolverTable add-in is developed by Professor Albright.

  • SolverTable is analogous to Excel’s data tables, except that

SolverTable needs a Solver run for each input combination.

  • http://www.kelley.iu.edu/albrightbooks/Free_downloads.htm
  • Note that there is an Excel tutorial on the same page.

Downloading Add-ins

Choose File  Options  Add-Ins  Go… in Excel.

Installing Add-Ins in Excel

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Add an add-in by checking next to its name if it is listed under Add-ins. Choose Browse if it is not listed and go to the downloaded file.

Installing Add-Ins in Excel

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