solution for assignment 2
ROP example
| Reorder Point with Safety Stock | |||||||||||||
| But what if demand isn't constant? | |||||||||||||
| But what if delivery isn't reliable?? | |||||||||||||
| Daily demand (average) | DD = | 85.25 | units/day | Historical Data | |||||||||
| Standard deviation of Demand = | 7.2240916384 | units/day | Daily Demand (units) | Length of each replenishment cycle (days) | |||||||||
| 80 | 12 | ||||||||||||
| Length of replenishment cycle (average) = | RC = | 12.2222222222 | days | 85 | 12 | ||||||||
| Standard deviation of Replenishment Cycle = | 0.629 | days | 75 | 11 | |||||||||
| 70 | 13 | ||||||||||||
| Service level target = | 95% | 78 | 12 | ||||||||||
| z = | 1.644853627 | 83 | 12 | When demand is uncertain (always) and replenishment cycle is uncertain (always). | |||||||||
| 88 | 13 | ||||||||||||
| Reorder Point without Variability = | 1,041.940 | units | 93 | 12 | |||||||||
| + | 95 | 13 | |||||||||||
| Safety Stock (to buffer from variability) = | SS = | 97.4443214841 | units | 94 | |||||||||
| = | 90 | ||||||||||||
| Reorder Point (in the real world!) = | ROP = | 1,139 | units | 83 | |||||||||
| (round to the nearest unit) | 90 | ||||||||||||
| 85 | |||||||||||||
| 95 | |||||||||||||
| 80 | |||||||||||||
| Extra: How much more would it cost to increase Safety Stock to reach a 97% Service Level? To reach 99% Service Level? | |||||||||||||
| 1364 | 110 | ||||||||||||
| 85.25 | 12.2222222222 | ||||||||||||
| Historical Data | |||||||||||||
| Daily Demand (units) | Length of each replenishment cycle (days) | Variance | V^2 | V | V^2 | z | |||||||
| 80 | 12 | 5.25 | 27.5625 | -0.22222 | 0.0493817284 | 1.645 | 52.1875 | 12.2222222222 | 0.3950617284 | 7267.5625 | |||
| 85 | 12 | 0.25 | 0.0625 | -0.22222 | 0.0493817284 | ||||||||
| 75 | 11 | 10.25 | 105.0625 | -1.22222 | 1.4938217284 | 637.8472222222 | 2871.135802505 | ||||||
| 70 | 13 | 15.25 | 232.5625 | 0.77778 | 0.6049417284 | ||||||||
| 78 | 12 | 7.25 | 52.5625 | -0.22222 | 0.0493817284 | Sum | 3508.9830247272 | ||||||
| 83 | 12 | 2.25 | 5.0625 | -0.22222 | 0.0493817284 | ||||||||
| 88 | 13 | -2.75 | 7.5625 | 0.77778 | 0.6049417284 | SQRT | 59.2366695952 | ||||||
| 93 | 12 | -7.75 | 60.0625 | -0.22222 | 0.0493817284 | SS | 97.4443214841 | ||||||
| 95 | 13 | -9.75 | 95.0625 | 0.77778 | 0.6049417284 | ||||||||
| 94 | -8.75 | 76.5625 | |||||||||||
| 90 | -4.75 | 22.5625 | |||||||||||
| 83 | 2.25 | 5.0625 | |||||||||||
| 90 | -4.75 | 22.5625 | |||||||||||
| 85 | 0.25 | 0.0625 | |||||||||||
| 95 | -9.75 | 95.0625 | |||||||||||
| 80 | 5.25 | 27.5625 | |||||||||||
| 0 | 835 | 3.5555555556 | |||||||||||
| 52.1875 | 0.3950617284 | ||||||||||||
| 7.2240916384 | 0.6285393611 | ||||||||||||
| For 97% | Z = 1.881 | ||||||||||||
| Daily demand (average) | DD = | 85.25 | units/day | z | |||||||||
| Standard deviation of Demand = | 7.2240916384 | units/day | 1.881 | 52.1875 | 12.2222222222 | 0.3950617284 | 7267.5625 | ||||||
| Length of replenishment cycle (average) = | RC = | 12.2222222222 | days | 637.8472222222 | 2871.135802505 | ||||||||
| Standard deviation of Replenishment Cycle = | 0.629 | days | |||||||||||
| Sum | 3508.9830247272 | ||||||||||||
| Service level target = | 95% | ||||||||||||
| z = | 1.644853627 | SQRT | 59.2366695952 | ||||||||||
| SS | 111.4241755085 | ||||||||||||
| Reorder Point without Variability = | 1,041.940 | units | |||||||||||
| + | |||||||||||||
| Safety Stock (to buffer from variability) = | SS = | 111.4241755085 | units | ||||||||||
| = | |||||||||||||
| Reorder Point (in the real world!) = | ROP = | 1,153 | units | ||||||||||
| The organization require 14 more units increase Safety Stock to reach a 97% Service Level | |||||||||||||
| For 99% | Z = 2.326 | ||||||||||||
| Daily demand (average) | DD = | 85.25 | units/day | z | |||||||||
| Standard deviation of Demand = | 7.2240916384 | units/day | 2.326 | 52.1875 | 12.2222222222 | 0.3950617284 | 7267.5625 | ||||||
| Length of replenishment cycle (average) = | RC = | 12.2222222222 | days | 637.8472222222 | 2871.135802505 | ||||||||
| Standard deviation of Replenishment Cycle = | 0.629 | days | |||||||||||
| Sum | 3508.9830247272 | ||||||||||||
| Service level target = | 95% | ||||||||||||
| z = | 1.644853627 | SQRT | 59.2366695952 | ||||||||||
| SS | 137.7844934784 | ||||||||||||
| Reorder Point without Variability = | 1,041.940 | units | |||||||||||
| + | |||||||||||||
| Safety Stock (to buffer from variability) = | SS = | 137.7844934784 | units | ||||||||||
| = | |||||||||||||
| Reorder Point (in the real world!) = | ROP = | 1,180 | units | ||||||||||
| The organization require 41 more units increase Safety Stock to reach a 99% Service Level | |||||||||||||
| References | |||||||||||||
| Suryono, S., Suseso, J. E., Mashuri, C., Sabila, A. D., Nugraha, J. A. M., & Primasiwi, M. H. (2017). RFID Sensor for Automated Prediction of Reorder Point (ROP) Values in a Vendor Management Inventory (VMI) System Using Fuzzy Time Series. Advanced Science Letters, 23(3), 2398-2400. | |||||||||||||
| Umry, T. F., & Singgih, M. L. (2019). Inventory Management and Reorder Point (ROP) Strategy Using ABC Analysis Methods in Textile Manufacture. IPTEK Journal of Proceedings Series, (5), 1-7. |
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