What is Inventory Management? What is Investment Management? Please review the Simulation Example on a Camera Warranty.
Posted: Fri Jul 01, 2022 8:48 am
What is Inventory Management?
What is Investment Management?
Please review the Simulation Example on a Camera Warranty.
Warranty costs for camera Inputs Parameters of time to failure distribution of any new camera (Gamma) Desired mean 2.5 Desired stdev 1 Implied alpha Implied beta Warranty period Cost of new camera (to customer) Replacement cost (to company) Discount rate Camera Lifetime Time of failure Cost to company Discounted cost Simulation of new camera and its replacements (if any) Failures within warranty NPV of profit from customer M 12 M 0.6 0.5 04 Simulation Results: Failures within warranty simulation results: RISK-Output: 822 0.0 50% 0.000 6.250 0.400 90.2% 1.5 $400 $225 8% 2 UNA A VANN, MARS 1 2.442 2.442 0 0.00 0 $175.00 Failures within warranty/1 @RISK Course Version DeVry Education Group 9 2 NA NA 0 0.00 3 NA ΝΑ 0 0.00 4 NA NA 0 0.00 Statistics Maur Mean Mode Median Sad Dev Skewness Kurto pure Errors Left x LeftP Rightx Rightp 30% 5 NA NA 0 0.00 X wires when wa Model 22 0.0000 1.0000 0.1750 0.0000 0.0000 0.447 2.7964 11.44* LS30 1000 0.000 5.0% 1.000 10000 90.0% 6.0000 0.0000 0.0000 Close
NPV of profit from customer simulation results: @RISK- Output: B23 0.6 0.5 0.4 0.2- 0.0 8 H $ Cell Minimum Maximum NPV of profit from customer / 1 -$33 Output for NPV profit for Customer Mean Mode Median @RISK Course Version DeVry Education Group 8 8 2 90.0% Model!B23 ($402.35) $175.00 $139.49 $175.00 $175.00 NPV of profit from customer / 1 $175 Statistics Cel Minum Maximum Mean Mode Medan Std Dev Skewness Kurtois Values Errors Pitered Left X Left P Right X Right P Def. x Dr. P 1% 85% 10% OX NPV of profit from. Model 823 Step 2: Week 5 Reflection This week I learned what a simulation model is and how a distribution model is used in running simulations. I learned that a distribution can be continuous (meaning all continuous values in a distribution range) or discrete (meaning a discrete set of values in a distribution range). I learned how to use the RISK tools in excel to run a simulation which I captured the output above. I learned about the flaw of averages and how it impacts simulations. I also learned how the input variables distribution varies allow for multiple simulation runs or scenarios. This week's assignments took me about 8-10 hours. -$402.35 $175.00 $139.49 $175.00 $175.00 $90.04 -2.6712 10.3668 1000 0 0 433 5.0% $175 95.0% $207.92 90.0% -4224.94 -$32.92 -$28.27 Close
Std Dev Skewness Kurtosis Values Errors Filtered Left X Left P Right X Right P Dif. X Dif. P $90.04 -2.6712 10.3668 1000 0 0 ($33) 5.00% $175 95.00% $207.92 90.00% 1% ($224.94) 5% ($32.92) 10% ($28.27) 15% ($25.48) 20% $175.00 25% 30% 35% 40% 45% $175.00 $175.00 $175.00 $175.00 $175.00 50% $175.00 55% $175.00 60% $175.00 65% $175.00 70% $175.00 75% $175.00 80% $175.00 85% $175.00 90% $175.00 95% $175.00 99% $175.00
What is Investment Management?
Please review the Simulation Example on a Camera Warranty.
- What Is Inventory Management What Is Investment Management Please Review The Simulation Example On A Camera Warranty 1 (118.29 KiB) Viewed 51 times
NPV of profit from customer simulation results: @RISK- Output: B23 0.6 0.5 0.4 0.2- 0.0 8 H $ Cell Minimum Maximum NPV of profit from customer / 1 -$33 Output for NPV profit for Customer Mean Mode Median @RISK Course Version DeVry Education Group 8 8 2 90.0% Model!B23 ($402.35) $175.00 $139.49 $175.00 $175.00 NPV of profit from customer / 1 $175 Statistics Cel Minum Maximum Mean Mode Medan Std Dev Skewness Kurtois Values Errors Pitered Left X Left P Right X Right P Def. x Dr. P 1% 85% 10% OX NPV of profit from. Model 823 Step 2: Week 5 Reflection This week I learned what a simulation model is and how a distribution model is used in running simulations. I learned that a distribution can be continuous (meaning all continuous values in a distribution range) or discrete (meaning a discrete set of values in a distribution range). I learned how to use the RISK tools in excel to run a simulation which I captured the output above. I learned about the flaw of averages and how it impacts simulations. I also learned how the input variables distribution varies allow for multiple simulation runs or scenarios. This week's assignments took me about 8-10 hours. -$402.35 $175.00 $139.49 $175.00 $175.00 $90.04 -2.6712 10.3668 1000 0 0 433 5.0% $175 95.0% $207.92 90.0% -4224.94 -$32.92 -$28.27 Close
Std Dev Skewness Kurtosis Values Errors Filtered Left X Left P Right X Right P Dif. X Dif. P $90.04 -2.6712 10.3668 1000 0 0 ($33) 5.00% $175 95.00% $207.92 90.00% 1% ($224.94) 5% ($32.92) 10% ($28.27) 15% ($25.48) 20% $175.00 25% 30% 35% 40% 45% $175.00 $175.00 $175.00 $175.00 $175.00 50% $175.00 55% $175.00 60% $175.00 65% $175.00 70% $175.00 75% $175.00 80% $175.00 85% $175.00 90% $175.00 95% $175.00 99% $175.00