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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

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