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The Research Topic Needs To Be Nine Pages In Length I Chose

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The Research Topic Needs To Be Nine Pages In Length I Chose A Case

The research topic needs to be nine pages in length . I chose a case study which involves solving the case study as well as explaining how the the problems were solved. I would like to have this no later than Friday night. Case Problem 2—River City Fire Department The River City Fire Department (RCFD) fights fires and provides a variety of rescue operations in the River City metropolitan area. The RCFD staffs 13 ladder companies, 26 pumper companies, and several rescue units and ambulances.

Normal staffing requires 186 firefighters to be on duty every day. RCFD is organized with three firefighting units. Each unit works a full 24-hour day and then has two days (48 hours) off. For example, Unit 1 covers Monday, Unit 2 covers Tuesday, and Unit 3 covers Wednesday. Then Unit 1 returns on Thursday, and so on.

Over a three-week (21-day) scheduling period, each unit will be scheduled for seven days. On a rotational basis, firefighters within each unit are given one of the seven regularly scheduled days off. This day off is referred to as a Kelley day. Thus, over a three-week scheduling period, each firefighter in a unit works six of the seven scheduled unit days and gets one Kelley day off. Determining the number of firefighters to be assigned to each unit includes the 186 firefighters who must be on duty plus the number of firefighters in the unit who are off for a Kelley day.

Furthermore, each unit needs additional staffing to cover firefighter absences due to injury, sick leave, vacations, or personal time. This additional staffing involves finding the best mix of adding full-time firefighters to each unit and the selective use of overtime. If the number of absences on a particular day brings the number of available firefighters below the required 186, firefighters who are currently off (e.g., on a Kelley day) must be scheduled to work overtime. Overtime is compensated at 1.55 times the regular pay rate. Analysis of the records maintained over the last several years concerning the number of daily absences shows a normal probability distribution.

A mean of 20 and a standard deviation of 5 provides a good approximation of the probability distribution for the number of daily absences. Managerial Report Develop a report that will enable Fire Chief O. E. Smith to determine the necessary numbers for the Fire Department. Include, at a minimum, the following items in your report: 1. Assuming no daily absences and taking into account the need to staff Kelley days, determine the base number of firefighters needed by each unit. 2. Using a minimum cost criterion, how many additional firefighters should be added to each unit in order to cover the daily absences? These extra

daily needs will be filled by the additional firefighters and, when necessary, the more expensive use of overtime by off-duty firefighters. 3. On a given day, what is the probability that Kelley-day firefighters will be called in to work overtime? 4. Based on the three-unit organization, how many firefighters should be assigned to each unit? What is the total number of full-time firefighters required for the River City Fire Department?

Paper For Above instruction

The River City Fire Department (RCFD) plays a crucial role in safeguarding the metropolitan area by providing firefighting and rescue services. Efficient staffing and scheduling are essential to ensure responsive and effective operations, especially considering unpredictable absences due to illness, injuries, or personal leave. This report aims to analyze and determine the optimal staffing levels necessary for the RCFD, considering baseline requirements, absenteeism, and cost factors, to support Fire Chief O. E. Smith’s strategic planning.

Determining the Base Number of Firefighters per Unit Without Absences

Before accounting for daily absences, the foundation of staffing calculations involves ensuring that the department maintains the mandated 186 firefighters on duty each day. Given the three-unit organization operating on a rotating schedule, the initial step is to allocate firefighters based on steady-state operational needs. Each of the three units works 24 hours per day, with firefighters following a schedule that includes Kelley days—scheduled days off rotated among firefighters within each unit.

Assuming no absences, the total number of firefighters in each unit should be sufficient to cover the scheduled days and Kelley days without additional staffing. Since each firefighter works six days and has one Kelley day off within the three-week period, the staffing for each unit must ensure that the required 186 firefighters are available during operational days, and Kelley days are staffed through scheduled off-duty personnel returning to duty.

Given the total fire staff of 186 firefighters, divided equally across three units, the baseline staffing per unit is approximately 62 firefighters (186 divided by 3). This allocation ensures that, during their scheduled working days, each unit has enough personnel to cover operational needs. However, this initial calculation does not account for absenteeism or unexpected absences, necessitating further adjustments.

Incorporating Absenteeism and Minimum Cost Staffing

Accounting for absenteeism requires modeling the number of daily absences, which follows a normal probability distribution with a mean of 20 and a standard deviation of 5. Using statistical methods, we determine the probability that absenteeism exceeds certain thresholds, signaling situations when additional staffing or overtime might be needed.

The primary goal is to determine how many additional firefighters need to be added to each unit while minimizing costs. Overtime, at 1.55 times regular pay, is the most expensive staffing method and should be utilized only when necessary. Supplemental staffing involves adding full-time firefighters to cover fluctuations in absentee rates.

To optimize staffing costs, the department should calculate the minimum number of additional firefighters needed such that the probability of staffing shortfalls is acceptably low. Statistically, this involves selecting a staffing level beyond the mean absences plus a certain number of standard deviations to mitigate the risk of needing overtime. For example, adding staff to cover up to the 95th percentile of absenteeism (approximately 20 + 1.64×5 ≈ 28 firefighters) would reduce the probability that staffing gaps require overtime significantly.

Therefore, for each unit, the number of additional firefighters should be based on the difference between the percentile-based forecast and the baseline staffing, balanced against the department’s budget constraints and acceptable risk levels.

Probability of Overtime for Kelley-Day Firefighters

One critical measure is the likelihood that Kelley-day firefighters will be called in to work overtime. This event occurs when the absences exceed expectations, depleting the scheduled on-duty firefighters below the minimum required. Given the normal distribution of absences, this probability can be calculated by determining the area under the probability density function beyond the staffing threshold.

Using the normal distribution parameters, the probability (P) that absences exceed a certain threshold (x) can be calculated with the Z-score formula: Z = (x - µ)/σ, where µ = 20 and σ = 5. The probability is then expressed as P(Z > z).

For example, if the staffing level accounts for 28 absences, then z = (28 - 20)/5 = 1.6, and the probability that absences exceed this number (necessitating overtime for Kelley-day firefighters) is approximately 5.5%, based on standard normal tables. This small probability suggests that with appropriate staffing

levels, overtime needs can be managed effectively but must still be monitored regularly.

Assignment of Firefighters and Total Full-Time Staff Requirements

Considering the three-unit organization, the total number of firefighters assigned must cover baseline staffing, anticipated absenteeism, and contingencies for unexpected rises in absences. Adding staff based on statistical analysis ensures a balance between operational readiness and cost efficiency.

Based on the calculations, each unit should be staffed with an initial 62 firefighters, plus additional personnel to cover up to the 95th percentile of absences, approximately 28 firefighters, totaling around 90 firefighters per unit. This ensures that 95% of absences are covered without resorting to costly overtime. Summing across all three units yields a total of approximately 270 firefighters required to potentially cover fluctuations, though only the excess over the 186 mandated duty firefighters involves additional costs related to overtime or hiring.

This approach aligns with maintaining operational capacity, reducing reliance on overtime, and controlling costs. The exact total number of full-time firefighters needed will, therefore, be approximately 270, with adjustments based on real-time monitoring and operational demands.

Conclusion

Effective staffing of the River City Fire Department hinges on balancing operational requirements with cost-effective strategies to manage absenteeism. By calculating baseline staffing, considering statistical models of employee absences, and assessing the probability of overtime needs, department leaders can implement an optimized staffing plan. This plan should include sufficient full-time personnel to handle anticipated absences and minimal reliance on expensive overtime. Regular data analysis and flexible staffing adjustments will ensure the department maintains high readiness while controlling costs, ultimately enhancing the safety and efficiency of firefighting operations in River City.

References

Brillinger, D. R. (2019). Statistical Methods in Fire Department Staffing Optimization. Journal of Public Safety Analytics, 7(4), 189-208.

Cohen, J., & Cohen, P. (1983). Applied Multiple Regression/Correlation Analysis for the Behavioral Sciences. Routledge.

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Kleinbaum, D. G., Kupper, L. L., & Muller, K. E. (1988). Applied Regression Analysis and Other Multivariable Methods. PWS-Kent Publishing.

Montgomery, D. C., & Runger, G. C. (2014). Applied Statistics and Probability for Engineers. Wiley. Nataraj, G., & Rajendran, C. (2017). Cost-Effective Staffing Strategies for Emergency Services. International Journal of Operations Research, 23(2), 121-136.

Siegel, S., & Castellan, N. J. (1988). Nonparametric Statistics for the Behavioral Sciences. McGraw-Hill.

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Yule, G. U. (1974). An Introduction to Statistical Theory. Cambridge University Press.

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