This case focuses on developing a deeper understanding of the personnel scheduling problem. Big Town Fire Department
Question:
This case focuses on developing a deeper understanding of the personnel scheduling problem.
Big Town Fire Department would like to schedule their human resource requirements in fire and safety operations, aka, firefighters. The town runs two schedules per day, 12 hours each. Firefighters are compensated hourly at $30 per hour plus an additional 33% is added to this amount to pay for the benefits (health insurance, retirement, etc.) Firefighters who work the night shift received $5 more per hour and have a commensurate increase in their benefits cost.
The weekly firefighter personnel requirements are:
Mon | Tues | Weds | Thurs | Fri | Sat | Sun | |
5a-5p | 11 | 11 | 12 | 18 | 19 | 19 | 14 |
5p-5a | 16 | 17 | 18 | 20 | 22 | 24 | 20 |
The "normal" shift for a firefighter is 4 days 12 hours a day followed by 3 consecutive days off, working on either the day or the night shift (but not both). In general the managers of Big Town would like to schedule the firefighters in the least cost way, but must make sure the requirements are met?
Questions to Address
- What is the fundamental challenge that Big Town faces in this setting? Why is this problem important? What are the implications of failing to address this problem effectively? What assumptions are made when building a model to schedule the fire fighters or in any similar personnel scheduling problem?
- Given the above information, and assuming that firefighters stick to a normal schedule, what is the optimal schedule for firefighters that meets (or exceeds) the personnel needs for Big Town Fire? What is the associated cost of this schedule? Call this solution and the associated total cost the "benchmark solution".
- How does the benchmark solution change with increases in the needed number of firefighters on the weekend night shifts (Friday, Saturday, and Sunday) of 5%, 10%, and 20%?
Note: Assume that increases mean that the number of firefighters needed at the specified times go up by 5% or more, 10% or more, etc. Percentage increases lead to fractional numbers, however, it doesn't make sense to schedule fractional numbers of firefighters so address these issues in a way that makes the most sense.
Applied Statistics For Public And Nonprofit Administration
ISBN: 9781285737232
9th Edition
Authors: Kenneth J. Meier, Jeffrey L. Brudney, John Bohte