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[>Management homework help](https://www.sweetstudy.com/fields/business-finance-management) **files (2)** – ## WeekThreeAssignment2InstructionsHM.docx – ## EKGMachines-Week2Assignment21.xlsx **## WeekThreeAssignment2InstructionsHM.docx** | | | | — | — | | | | Turnitin™ | | | This assignment will …
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[>Management homework help](https://www.sweetstudy.com/fields/business-finance-management)
**files (2)**
– ## WeekThreeAssignment2InstructionsHM.docx
– ## EKGMachines-Week2Assignment21.xlsx
**## WeekThreeAssignment2InstructionsHM.docx**
| | |
| — | — |
| |
| Turnitin™ | |
| This assignment will be submitted to Turnitin™. |
| Instructions | |
| Assignment 2 of 2:<br>Using calculus can take the guess-work out of the two inventory management questions: When should I re-order? How much to order? We base these two decisions on the single solution that results in the minimal Total Cost.<br>Complete the attached template that includes a complete analysis of a Continuous Inventory Model.<br>· <br>[Template for the inventory assignment.](https://navigate.nu.edu/content/enforced/7793-SCM630-020416/Week%20Three/inventory-assignment-1.xlsx) – Excel File <br>_(12.7 KB)_ |
**Week Three Assignment 2**
Top of Form
Bottom of Form
**## EKGMachines-Week2Assignment21.xlsx**
## Sheet1
| | | | | | | | |
| — | — | — | — | — | — | — | — |
| Nelson Fabricators — portable EKG machines |
| | Alpha (a) = | 0.58 | | Note: Starting condition impacts solution. See SOLVER to verify. |
| Week | Actual Production | Forecast | | Error | Abs Error |
| 1 | 434 | 434 | | | | | Assumption for initial conditions |
| 2 | 613 | 434 | | -179 | 179 |
| 3 | 640 | 537 | | -103 | 103 |
| 4 | 531 | 596 | | 65 | 65 |
| 5 | 758 | 559 | | -199 | 199 |
| 6 | 711 | 673 | | -38 | 38 |
| 7 | 790 | 695 | | -95 | 95 |
| 8 | 807 | 750 | | -57 | 57 |
| 9 | 646 | 783 | | 137 | 137 |
| 10 | 714 | 704 | | -10 | 10 |
| 11 | 881 | 710 | | -171 | 171 |
| 12 | 746 | 808 | | 62 | 62 |
| 13 | 702 | 772 | | 70 | 70 |
| 14 | 945 | 732 | | -213 | 213 |
| 15 | 977 | 854 | | -123 | 123 |
| 16 | 750 | 925 | | 175 | 175 |
| 17 | | |
| | | | | Bias | MAD |
| | | | a = 0.3 | | | (was =average(f7…f21) |
| | | | a = 0.7 | | | (was =average(f7…f21) |
| | | | a = optimal |
| | | ANSWERS: | | There is an upward trend in the data, so a higher alpha is more responsive to this trend. (A trend-adjusted method would be even better.) |
| | | | | Optimization provides the alpha which mimizing your historical forecasting error, and th |
**## EKGMachines-Week2Assignment21.xlsx**
## Sheet1
| | | | | | | | |
| — | — | — | — | — | — | — | — |
| Nelson Fabricators — portable EKG machines |
| | Alpha (a) = | 0.58 | | Note: Starting condition impacts solution. See SOLVER to verify. |
| Week | Actual Production | Forecast | | Error | Abs Error |
| 1 | 434 | 434 | | | | | Assumption for initial conditions |
| 2 | 613 | 434 | | -179 | 179 |
| 3 | 640 | 537 | | -103 | 103 |
| 4 | 531 | 596 | | 65 | 65 |
| 5 | 758 | 559 | | -199 | 199 |
| 6 | 711 | 673 | | -38 | 38 |
| 7 | 790 | 695 | | -95 | 95 |
| 8 | 807 | 750 | | -57 | 57 |
| 9 | 646 | 783 | | 137 | 137 |
| 10 | 714 | 704 | | -10 | 10 |
| 11 | 881 | 710 | | -171 | 171 |
| 12 | 746 | 808 | | 62 | 62 |
| 13 | 702 | 772 | | 70 | 70 |
| 14 | 945 | 732 | | -213 | 213 |
| 15 | 977 | 854 | | -123 | 123 |
| 16 | 750 | 925 | | 175 | 175 |
| 17 | | |
| | | | | Bias | MAD |
| | | | a = 0.3 | | | (was =average(f7…f21) |
| | | | a = 0.7 | | | (was =average(f7…f21) |
| | | | a = optimal |
| | | ANSWERS: | | There is an upward trend in the data, so a higher alpha is more responsive to this trend. (A trend-adjusted method would be even better.) |
| | | | | Optimization provides the alpha which mimizing your historical forecasting error, and th |
**## WeekThreeAssignment2InstructionsHM.docx**
| | |
| — | — |
| |
| Turnitin™ | |
| This assignment will be submitted to Turnitin™. |
| Instructions | |
| Assignment 2 of 2:<br>Using calculus can take the guess-work out of the two inventory management questions: When should I re-order? How much to order? We base these two decisions on the single solution that results in the minimal Total Cost.<br>Complete the attached template that includes a complete analysis of a Continuous Inventory Model.<br>· <br>[Template for the inventory assignment.](https://navigate.nu.edu/content/enforced/7793-SCM630-020416/Week%20Three/inventory-assignment-1.xlsx) – Excel File <br>_(12.7 KB)_ |
**Week Three Assignment 2**
Top of Form
Bottom of Form
**## EKGMachines-Week2Assignment21.xlsx**
## Sheet1
| | | | | | | | |
| — | — | — | — | — | — | — | — |
| Nelson Fabricators — portable EKG machines |
| | Alpha (a) = | 0.58 | | Note: Starting condition impacts solution. See SOLVER to verify. |
| Week | Actual Production | Forecast | | Error | Abs Error |
| 1 | 434 | 434 | | | | | Assumption for initial conditions |
| 2 | 613 | 434 | | -179 | 179 |
| 3 | 640 | 537 | | -103 | 103 |
| 4 | 531 | 596 | | 65 | 65 |
| 5 | 758 | 559 | | -199 | 199 |
| 6 | 711 | 673 | | -38 | 38 |
| 7 | 790 | 695 | | -95 | 95 |
| 8 | 807 | 750 | | -57 | 57 |
| 9 | 646 | 783 | | 137 | 137 |
| 10 | 714 | 704 | | -10 | 10 |
| 11 | 881 | 710 | | -171 | 171 |
| 12 | 746 | 808 | | 62 | 62 |
| 13 | 702 | 772 | | 70 | 70 |
| 14 | 945 | 732 | | -213 | 213 |
| 15 | 977 | 854 | | -123 | 123 |
| 16 | 750 | 925 | | 175 | 175 |
| 17 | | |
| | | | | Bias | MAD |
| | | | a = 0.3 | | | (was =average(f7…f21) |
| | | | a = 0.7 | | | (was =average(f7…f21) |
| | | | a = optimal |
| | | ANSWERS: | | There is an upward trend in the data, so a higher alpha is more responsive to this trend. (A trend-adjusted method would be even better.) |
| | | | | Optimization provides the alpha which mimizing your historical forecasting error, and th |
**## WeekThreeAssignment2InstructionsHM.docx**
| | |
| — | — |
| |
| Turnitin™ | |
| This assignment will be submitted to Turnitin™. |
| Instructions | |
| Assignment 2 of 2:<br>Using calculus can take the guess-work out of the two inventory management questions: When should I re-order? How much to order? We base these two decisions on the single solution that results in the minimal Total Cost.<br>Complete the attached template that includes a complete analysis of a Continuous Inventory Model.<br>· <br>[Template for the inventory assignment.](https://navigate.nu.edu/content/enforced/7793-SCM630-020416/Week%20Three/inventory-assignment-1.xlsx) – Excel File <br>_(12.7 KB)_ |
**Week Three Assignment 2**
Top of Form
Bottom of Form
**## EKGMachines-Week2Assignment21.xlsx**
## Sheet1
| | | | | | | | |
| — | — | — | — | — | — | — | — |
| Nelson Fabricators — portable EKG machines |
| | Alpha (a) = | 0.58 | | Note: Starting condition impacts solution. See SOLVER to verify. |
| Week | Actual Production | Forecast | | Error | Abs Error |
| 1 | 434 | 434 | | | | | Assumption for initial conditions |
| 2 | 613 | 434 | | -179 | 179 |
| 3 | 640 | 537 | | -103 | 103 |
| 4 | 531 | 596 | | 65 | 65 |
| 5 | 758 | 559 | | -199 | 199 |
| 6 | 711 | 673 | | -38 | 38 |
| 7 | 790 | 695 | | -95 | 95 |
| 8 | 807 | 750 | | -57 | 57 |
| 9 | 646 | 783 | | 137 | 137 |
| 10 | 714 | 704 | | -10 | 10 |
| 11 | 881 | 710 | | -171 | 171 |
| 12 | 746 | 808 | | 62 | 62 |
| 13 | 702 | 772 | | 70 | 70 |
| 14 | 945 | 732 | | -213 | 213 |
| 15 | 977 | 854 | | -123 | 123 |
| 16 | 750 | 925 | | 175 | 175 |
| 17 | | |
| | | | | Bias | MAD |
| | | | a = 0.3 | | | (was =average(f7…f21) |
| | | | a = 0.7 | | | (was =average(f7…f21) |
| | | | a = optimal |
| | | ANSWERS: | | There is an upward trend in the data, so a higher alpha is more responsive to this trend. (A trend-adjusted method would be even better.) |
| | | | | Optimization provides the alpha which mimizing your historical forecasting error, and th |
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