31 May Question Details: Review “Simulation Case Study: Phoenix Boutique Hotel Grou
Question
Details:
Review “Simulation Case Study: Phoenix Boutique Hotel Group” for this topic’s case study, in which you provide guidance to Phoenix Boutique Hotel Group (PBHG) founder Bree Bristowe.
In addition to creating a simulation model, prepare a 500-750-word recommendation for Bristowe’s best course of action. Explain your model and the rationale for your recommendations.
Use an Excel spreadsheet file for the calculations and explanations. Cells should contain the formulas (i.e., if a formula was used to calculate the entry in that cell). Students are highly encouraged to use the “Simulation Case Study: Phoenix Boutique Hotel Group Template” Excel resource to complete this assignment.
Mac users can use StatPlus:mac LE, free of charge, from AnalystSoft.
Prepare the assignment according to the guidelines found in the APA Style Guide, located in the Student Success Center. An abstract is not required.
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Simulation Case Study:
Phoenix Boutique Hotel Group
Phoenix Boutique Hotel Group (PBHG) was founded in 2007 by Bree Bristowe. Having worked for several luxury resorts, Bristowe decided to pursue her dream of owning and operating a boutique hotel. Her hotel, which she called PHX, was located in an area that included several high-end resorts and business hotels. PHX filled a niche market for “modern travelers looking for excellent service and contemporary design without the frills.”Since opening PHX, Bristowe has invested, purchased, or renovated three other small hotels in the Phoenix metropolitan area: Canyon Inn PHX, PHX B&B, and The PHX Bungalows.
One of the customer service enhancements Bristowe has implemented is a centralized, toll-free reservation system. Although many customers book specific hotels online, the phone reservation system enablesPBHG to find the best reservation match at all properties. It has been an excellent option for those customers who have preferences regardingthe type of room, amenity options, and the best price across the four hotel locations.
Currently, three agents are on staff for the 6 a.m.to 2 p.m.call shift. The time between calls during this shift is represented in Table 1. The time to process reservation requests during this shift is in Table 2.
Table 1: Incoming Call Distribution
| Time Between Calls (Minutes) | Probability |
| 1 | 0.13 |
| 2 | 0.23 |
| 3 | 0.27 |
| 4 | 0.19 |
| 5 | 0.15 |
| 6 | 0.09 |
Table 2: Service Time Distribution
| Time to Process Customer Inquiries (Minutes) | Probability |
| 1 | 0.19 |
| 2 | 0.17 |
| 3 | 0.16 |
| 4 | 0.15 |
| 5 | 0.11 |
| 6 | 0.08 |
| 7 | 0.03 |
Bristowe wants to ensure customers are not on hold for longer than 2minutes. She is debating hiring additional staff for this shift based on the available data. Additionally, Bristowe and PBHG will soon be featured in a national travel magazine with a circulation of over a million subscriptions. Bristowe is worried that the current operators may not be able to handle the increase in reservations. The projected increase for call distribution is represented in Table 3.
Table 3: Incoming Call Distribution
| Time Between Calls (Minutes) | Probability |
| 1 | 0.26 |
| 2 | 0.27 |
| 3 | 0.24 |
| 4 | 0.14 |
| 5 | 0.11 |
| 6 | 0.06 |
Bristowe has asked for your advice in evaluating the current phone reservation system. Create a simulation model to investigate her concerns. Make recommendations about the reservation agents.
| Arrival Interval Distribution | ||||||||||||
| Random Number Lower Limit | Range Upper Limit | Arrival Gap Minute | ||||||||||
| Probability | ||||||||||||
| 0.13 | 0 | 10 | 1 | |||||||||
| 0.23 | 11 | 31 | 2 | |||||||||
| 0.27 | 32 | 53 | 3 | |||||||||
| 0.19 | 54 | 73 | 4 | |||||||||
| 0.15 | 74 | 89 | 5 | |||||||||
| 0.09 | 90 | 99 | 6 | |||||||||
| Service Time Distribution | ||||||||||||
| Random Number Lower Limit | Range Upper Limit | Service Time (minutes) | ||||||||||
| Probability | ||||||||||||
| 0.19 | 0 | 19 | 1 | |||||||||
| 0.17 | 20 | 38 | 2 | |||||||||
| 0.16 | 39 | 56 | 3 | |||||||||
| 0.15 | 57 | 73 | 4 | |||||||||
| 0.11 | 74 | 86 | 5 | |||||||||
| 0.08 | 87 | 96 | 6 | |||||||||
| 0.03 | 97 | 99 | 7 | |||||||||
| Customer Number | Random Number | Arrival Gap | Random Number | Service Time | Arrive Time | Service Start | Service End | Time in System | Time on Hold | Time Server Idle | Percent Utilization | |
| Summary for This Trial Run Average: | ||||||||||||
| maximums | ||||||||||||
| 1 | 65 | 53 | ||||||||||
| 2 | 68 | 25 | ||||||||||
| 3 | 72 | 3 | ||||||||||
| 4 | 84 | 57 | ||||||||||
| 5 | 16 | 100 | ||||||||||
| 6 | 40 | 54 | ||||||||||
| 7 | 87 | 68 | ||||||||||
| 8 | 47 | 69 | ||||||||||
| 9 | 70 | 82 | ||||||||||
| 10 | 17 | 5 | ||||||||||
| 11 | 28 | 51 | ||||||||||
| 12 | 8 | 62 | ||||||||||
| 13 | 43 | 35 | ||||||||||
| 14 | 69 | 63 | ||||||||||
| 15 | 20 | 57 |
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