SlideServe
Menu
Préférences
© SlideServe · v2026

Decision Making

orde avatar
19 diapositives · 480 Views · Sep 08, 2014

Decision Making. Introduction. What: Decision making tools Where: Making business decisions Why: We want to avoid making bad decisions. Steps in Decision Making. Define the problem Develop specific objectives Develop a model Evaluate each alternative solution Select the best alternative

Decision Making - slide 1
01 / 19Decision Making
1 / 17

Télécharger la présentation

Decision Making
Une image / un lien ci-dessous est fourni (tel quel) pour télécharger la présentation

Politique de téléchargement : le contenu du site vous est fourni TEL QUEL pour votre information et votre usage personnel ; il ne peut être vendu, concédé sous licence ni partagé sur d’autres sites sans l’accord de son auteur.Le contenu vous est fourni TEL QUEL, pour votre information et votre usage personnel uniquement. Téléchargez la présentation en cliquant sur ce lien. Lors du téléchargement, si vous ne parvenez pas à télécharger une présentation, l’éditeur a peut-être supprimé le fichier de son serveur.Pendant le téléchargement, si vous ne parvenez pas à obtenir une présentation, le fichier a peut-être été supprimé par l’éditeur.

F I N

Plus de contenu associé

Transcription de la présentation
  1. Decision Making

  2. Introduction • What: Decision making tools • Where: Making business decisions • Why: We want to avoid making bad decisions

  3. Steps in Decision Making • Define the problem • Develop specific objectives • Develop a model • Evaluate each alternative solution • Select the best alternative • Implement the decision

  4. A Decision Example • Should the Stampede Flapjack Company build a new factory to produce its new line of pancake mixes, or use part of its existing facility? • The factory will cost $15M to build. • Probability of successful product is 65%

  5. Our Forecast • If the factory is built, and if the new line is a success, sales will be worth $25M. If it is not a success, overall sales will be worth $5M. • If the factory is not built, and if the new line is a success, sales will be worth $8M. If it is not a success, sales will be worth $6M.

  6. A Decision Tree A Decision Node Construct Plant Existing Plant

  7. Adding the Construction Outcomes Successful (65%) - $25M Unsuccessful (35%) - $5M Construct Plant Existing Plant

  8. Adding the No Construction Outcomes Successful (65%) - $25M Unsuccessful (35%) - $5M Construct Plant Successful (65%) - $8M Existing Plant Unsuccessful (35%) - $2M

  9. Expected Monetary Value (EMV) Successful (65%) - $25M Unsuccessful (35%) - $5M EMV = $25M x 0.65 + $5M x 0.35 = $18M

  10. What is the Better Choice? $18M Successful (65%) - $25M Unsuccessful (35%) - $5M Construct Plant $7.3M Successful (65%) - $8M Existing Plant Unsuccessful (35%) - $6M

  11. Result $18M Successful (65%) - $25M Unsuccessful (35%) - $5M Construct Plant $18M $7.3M Successful (65%) - $8M Existing Plant Unsuccessful (35%) - $6M

  12. In Other Words… • Because the result for building the factory gives us a higher EMV, we choose it. • Because the EMV is greater than the cost of constructing the factory, we will build it.

  13. A Decision Table

  14. Calculating EMV’s

  15. Expected Value of Perfect Information (EVPI) • What would we be willing to pay for perfect information – to know the future? • EVPI = EV Under Certainty – Max EMV

  16. Expected Value Under Certainty • Expected Value Under Certainty = • Best outcome for first state x probability of first state • + • Best outcome for second state x probability of second state

  17. Expected Value Under Certainty

  18. Expected Value Under Certainty • EV = $25M x 65% + $6M x 35% • EV = $18.35

  19. Expected Value of Perfect Information • EVPI = EV Under Certainty – Max EMV • EVPI = $18.35M - $18M • EVPI = 0.35M • So we would pay, for example, a maximum of $350K for a marketing study