Question
Problem Statement: The aim of this case study is to propose a daily capacity level and level of resourcing required for Q2 & Q3 2023.
Problem Statement:
The aim of this case study is to propose a daily capacity level and level of resourcing required for Q2 & Q3 2023. The proposed daily capacity level should achieve the highest level of order fulfilment per quarter. Following the daily capacity level that is set, our operations team will then plan the level of resourcing required for the respective quarters. Do note that the daily capacity should be the most cost effective for the client. You are free to propose any kind of capacity planning strategy (s), as you deem fit. Do also consider the forecast inaccuracies, risk of commitment of the proposed daily capacity level and the split of Full Time & Part Time Employees.
Assumptions:
Resourcing changes, specifically, changes in headcount would require one month lead time.
Daily capacity & level of resourcing committed (Full Time Employees only) should be fixed per quarter.
There are 22 Business Days per Month, 8 Hours per Day.
Overtime (OT) is allowed for both Full Time & Part Time Employees, up to an additional 8 hours a week. Units completed during OT hours will cost both Bollore & the client 50% more.
Each completed unit will cost the client $1.50.
Cost of each Full Time Employee is $3,000 per month; cost of Part Time Employee is $20 per hour.
Dataset:
1. Historical Orders by Week
Year | Week | Order Quantity |
2022 | 41 | 1,699,754 |
42 | 140,937 | |
43 | - | |
44 | - | |
45 | 1,311,504 | |
46 | 207,557 | |
47 | 295,698 | |
48 | 114,456 | |
49 | 1,013,272 | |
50 | 140,800 | |
51 | 389,839 | |
52 | - | |
2023 | 1 | 245,181 |
2 | 1,135,403 | |
3 | 27,071 | |
4 | 413,792 | |
5 | 96,083 | |
6 | 1,218,112 | |
7 | 1,985 | |
8 | 1,447,018 | |
9 | - | |
10 | 1,921,370 | |
11 | 479,840 | |
12 | - | |
13 | - | |
14 | 1,760,000 | |
15 | 440,000 | |
16 | 1,100,000 | |
17 | 400,000 |
2. Forecast Volume
Month | Forecast Volume |
October 2022 | 2,494,082 |
November 2022 | 2,449,189 |
December 2022 | 2,376,469 |
January 2023 | 2,362,196 |
February 2023 | 2,282,181 |
March 2023 | 2,285,923 |
April 2023 | 1,792,039 |
May 2023 | 1,916,785 |
June 2023 | 2,193,572 |
July 2023 | 2,324,540 |
August 2023 | 2,413,395 |
September 2023 | 2,447,340 |
3. Productivity Levels
Employees | Productivity (units per hour) |
Full Time | 140 |
Part Time | 100 |
Step by Step Solution
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Step: 1
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