Operation Management

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Compe&&ve
 Advantage
 from
 Opera&ons
  (GB
 2314.00)
 
Session
 1:
 Introduc&on
 and
 Process
 Analysis
 

Srikanth
 Jagabathula
 

Quick
 quiz
 

Three
 frogs
 are
 siNng
 on
 a
 log.
 One
 of
 them
 decides
  to
 jump.
 How
 many
 are
 leR?
 

It
 ain’t
 over
 un&l
 it
 is
 over
 
  -­‐Yogi
 Berra
 
  It
 ain’t
 done
 un&l
 it
 is
 done
 
  -­‐Me
 
 

Course
 logis&cs
 
Teaching
 team:
 
 Professor:
 Srikanth
 Jagabathula
 (sjagabat@stern.nyu.edu)
 

 
 
 
 
 
 
 
 
 
 
 
 
 KMC
 Rm
 8-­‐74
 
 
 
 
 Office
 Hrs:
 aRer
 the
 class
 or
 by
 appointment
 

 
 
 
 
 
 
 
 
 
 TA:
 
 Sandeep
 Verma
 (sv802@nyu.edu)
 
 
 
 
 
 
 
 Office
 hours:
 TBA
  § 
 Saturdays
 9a-­‐12noon
  § 
 KMC
 Rm
 4-­‐90
  § 
 Blackboard
 h`p://newclasses.nyu.edu
  § 
 Email
 

Mee&ngs:
 

Communica&on:
 

Course
 organiza&on
 
Deliverables:
  § 
 6
 individual
 case
 assignments
 
§ 
 2
 group
 homeworks
 (in
 groups
 of
 up
 to
 4)
 

Exams:
  § 
 2
 in
 class
 midterms
 and
 1
 take
 home
 final
 exam
  Grading:
 

§ 
 in
 class
 exams
 are
 open
 book/notes,
 no
 computer
 

 

Class
 par&cipa&on
  Group
 homework
  Midterms
  Final
 exam
 

10%
  10%
  40%
  25%
 

Individual
 assignments
  15%
 

My
 research:
 data
 strategy
 for
 businesses
 
Main
 goal:
 
 data-­‐driven
 decision
 making
  Main
 problem:
 too
 much
 data
 too
 li`le
 informa&on
 
§ 
 Huge
 amounts
 of
 data:
 150
 billion
 GB
 created
 in
 2005
 
 
§ 
 Too
 li`le
 insight!
  § 
 Data
 like
 food:
 we
 had
 too
 li`le
 before,
 now
 we
 have
 too
 much
 

Interes&ng
 ques&ons
 

§ 
 What
 data
 to
 collect
 and
 what
 not
 to
 collect?
 
 

§ 
 How
 to
 extract
 ac&onable
 insights
 from
 data
 we
 already
 have?
  § 
 What
 is
 the
 overall
 data
 strategy
 to
 improve
 decision
 making?
 

Today’s
 agenda
 
What
 can
 I
 expect
 to
 learn?
 
defini&on
 of
 OM;
 topics
 covered
 in
 the
 course
 

Why
 should
 I
 care?
 

broad
 relevance
 of
 OM;
 cri&cal
 to
 business
 survival
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