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The Framing Effect on Inventory
     Prepositioning Decisions

                      Jaime A. Castañedaa, b
        Institute of Management (IMA), University of Lugano
                          castanej@usi.ch


                                Advisor
                      Prof. Paulo Gonçalves

    started: 2009 – Year of planned completion: 2013
aYear

bHome discipline: Behavioral Operations Management




                       2012 ISCRAM Summer School
                         Tilburg, The Netherlands
                                                              1
                          August 15th – 24th, 2012
Newsvendor Model decisions
• Ordering decision under demand uncertainty
 • You order x units of a given item to sell later on
   without knowing its demand beforehand


• Yet you know…
 • The demand distribution
 • Cost of over stocking (cost of ordered items you
   don’t sell)
 • Cost of under stocking (cost of not meeting the
   demand, i.e., forgone sales)

                                                        2
Newsvendor Model decisions


                    DECEMBER
                 1 2 3 4 5 6 7
                 8 9 1011121314
                 15161718192021
                 22232425262728
                 293031




                                  3
Newsvendor Model decisions
   Ordering too many…

                    DECEMBER
                 1 2 3 4 5 6 7
                 8 9 1011121314
                 15161718192021
                 22232425262728
                 293031




                                  4
Newsvendor Model decisions
    Ordering too few…

                    DECEMBER
                 1 2 3 4 5 6 7
                 8 9 1011121314
                 15161718192021
                 22232425262728
                 293031




                                  5
Inventory prepositioning
• Ordering decision under demand uncertainty
 • You preposition x units of a given item to prepare
   for future emergencies


• Yet you know…
 • The demand distribution
 • Cost of over stocking (cost of prepositioned items
   you don’t use)
 • Cost of under stocking (additional cost of meeting
   unmet demand, i.e., expediting cost)


• Newsvendor Model decision!                            6
Newsvendor Model decisions
• What people are expected to do?

                                                  Optimal order*

                                     High
                                (c = 3; p = 12)        75
         Safety stock
                                     Low
                                (c = 9; p = 12)        25
        *Based   on a D ~ U(0,100)

• What do people typically do?
 • Order less than the optimum of high safety stock
   (cheap, i.e., cover stocking < cunder stocking) items
 • Order more than the optimum of low safety stock
   (expensive, i.e., cover stocking > cunder stocking) items       7
Hypothesis

• The Framing Effect matters!
 • Risk reflection based on framing: people will tend
   to preposition a larger amount of items when
   outcomes are framed as having an impact on the
   amount of human lives lost, and a lower amount
   of items when outcomes are framed as having an
   impact on the amount of human lives saved,
   relative to baseline prepositioning decisions in
   which outcomes are framed neutrally


• The Framing Effect as a debiasing
  mechanism!
                                                        8
Methodology

• Laboratory experiment
 • Baseline treatment: typical Newsvendor Model
   experiment adapted to meet the features of a
   prepositioning task
 • Positive frame treatment: emphasis on human
   lives saved
 • Negative frame treatment: emphasis on human
   lives lost




                                                  9
Methodology




              10
Thank you!




             11

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Jaime Castañeda 2012 ISCRAM Summer School

  • 1. The Framing Effect on Inventory Prepositioning Decisions Jaime A. Castañedaa, b Institute of Management (IMA), University of Lugano castanej@usi.ch Advisor Prof. Paulo Gonçalves started: 2009 – Year of planned completion: 2013 aYear bHome discipline: Behavioral Operations Management 2012 ISCRAM Summer School Tilburg, The Netherlands 1 August 15th – 24th, 2012
  • 2. Newsvendor Model decisions • Ordering decision under demand uncertainty • You order x units of a given item to sell later on without knowing its demand beforehand • Yet you know… • The demand distribution • Cost of over stocking (cost of ordered items you don’t sell) • Cost of under stocking (cost of not meeting the demand, i.e., forgone sales) 2
  • 3. Newsvendor Model decisions DECEMBER 1 2 3 4 5 6 7 8 9 1011121314 15161718192021 22232425262728 293031 3
  • 4. Newsvendor Model decisions Ordering too many… DECEMBER 1 2 3 4 5 6 7 8 9 1011121314 15161718192021 22232425262728 293031 4
  • 5. Newsvendor Model decisions Ordering too few… DECEMBER 1 2 3 4 5 6 7 8 9 1011121314 15161718192021 22232425262728 293031 5
  • 6. Inventory prepositioning • Ordering decision under demand uncertainty • You preposition x units of a given item to prepare for future emergencies • Yet you know… • The demand distribution • Cost of over stocking (cost of prepositioned items you don’t use) • Cost of under stocking (additional cost of meeting unmet demand, i.e., expediting cost) • Newsvendor Model decision! 6
  • 7. Newsvendor Model decisions • What people are expected to do? Optimal order* High (c = 3; p = 12) 75 Safety stock Low (c = 9; p = 12) 25 *Based on a D ~ U(0,100) • What do people typically do? • Order less than the optimum of high safety stock (cheap, i.e., cover stocking < cunder stocking) items • Order more than the optimum of low safety stock (expensive, i.e., cover stocking > cunder stocking) items 7
  • 8. Hypothesis • The Framing Effect matters! • Risk reflection based on framing: people will tend to preposition a larger amount of items when outcomes are framed as having an impact on the amount of human lives lost, and a lower amount of items when outcomes are framed as having an impact on the amount of human lives saved, relative to baseline prepositioning decisions in which outcomes are framed neutrally • The Framing Effect as a debiasing mechanism! 8
  • 9. Methodology • Laboratory experiment • Baseline treatment: typical Newsvendor Model experiment adapted to meet the features of a prepositioning task • Positive frame treatment: emphasis on human lives saved • Negative frame treatment: emphasis on human lives lost 9