Breakfast at the Paramount The objective of this case study is to deepen your understanding of real-world waiting line systems, their complexities, how to manage and improve such systems, the psychology of waiting, as well as their implication on the value proposition. The following questions will prepare you for our class discussion on this case. Questions
1. Draw a process flow diagram for a dine-in customer at the restaurant. Specify the activities, the resources, and the activity time for each activity. Analyze the bottleneck and capacity of the process. Note 1: Assume that the occupation of the 44 seats is at 80%, that is, the actual number of seats (effective sitting capacity) is 44*80%=35.2. This is based on the consideration that a party of customers may occupy a table with more seats than the number of customers in the party, for example, a party of six may occupy an 8-person table. Note 2: The two employees at the drink-and-pay station can work in parallel on both tasks.
2. How does the seating policy at Paramount differ from a usual sitting policy? What is the reason for Paramount to adopt this seating policy?
3. Using data in Exhibit 6, the average arrivals per hour on a Saturday morning from 7 to 11:30am is 88.7. With the arrival information and your analysis of the process capacity, what is the expected waiting time and queue length (number of customers waiting) on a Saturday morning? You may assume exponential distributions
4. What advice do you have for Michael Conlon about how to respond to the increase in carryout orders at the Paramount? Why was he tempted to increase carryout? Why was he tempted to decrease carryout?
5. Based on your reading of the case, why do customers put up with the line (that is, why do they love the Paramount)? What factors contribute to and detract from dine-in customers’ service experiences waiting in line at the Paramount? What ideas do you have to improve the experience?
The case study of “Breakfast at the Paramount” offers an opportunity to delve into real-world waiting line systems, their intricacies, management, and their impact on the value proposition. Paramount, a popular restaurant, presents a unique set of challenges and opportunities in terms of optimizing customer experience and operational efficiency. This essay will address several key questions related to this case, offering insights into process flow, seating policies, waiting times, and customer satisfaction.
To understand the process flow at Paramount for dine-in customers, we can create a process flow diagram:
Activity 1: Customer Arrival and Wait (Avg. Time: T1)
Activity 2: Seating (Avg. Time: T2)
Activity 3: Order Placement (Avg. Time: T3)
Activity 4: Food Preparation (Avg. Time: T4)
Activity 5: Food Serving (Avg. Time: T5)
Activity 6: Dining (Avg. Time: T6)
Activity 7: Drink and Pay (Avg. Time: T7)
Bottleneck Analysis: The bottleneck in this process is the activity with the highest average time (T4 – Food Preparation). This indicates that the kitchen might need more resources or process optimization to reduce wait times.
Capacity Analysis: With an effective seating capacity of 35.2 and a peak arrival rate of 88.7 customers per hour, Paramount may experience congestion during peak hours. To enhance capacity, Paramount can consider optimizing kitchen operations and potentially expanding the dining area.
Seating Policy: Paramount’s seating policy differs from the usual practice as they allow parties to occupy tables with more seats than the number of customers. The reason for this policy is likely to maximize seating efficiency and accommodate larger groups. It reduces the chances of turning away customers due to insufficient table sizes, enhancing the overall customer experience.
Waiting Time and Queue Length: Using the arrival rate and capacity analysis, we can estimate the expected waiting time and queue length. Assuming an exponential distribution:
Expected Waiting Time = 1 / (Capacity – Arrival Rate) = 1 / (35.2 – 88.7) = -0.012 hours (approximately 0.72 minutes)
Expected Queue Length = Arrival Rate * Expected Waiting Time = 88.7 * 0.012 = 1.06 customers (approximately)
This suggests that during peak hours, customers can expect a short wait time and a queue length of around one customer.
Advice for Michael Conlon: Michael Conlon should consider streamlining the carryout order process to meet increasing demand. He may have been tempted to increase carryout due to its potential for higher profits and reduced dine-in congestion. However, he may also be tempted to decrease carryout to maintain the quality of dine-in service. A balanced approach, where carryout operations are efficient but not overwhelming, would be ideal.
Customer Experience and Improvement: Customers seem to tolerate waiting at Paramount due to its unique offerings and ambiance. Factors contributing to this include the high-quality food, social experience, and the restaurant’s reputation. However, waiting times can detract from the experience. To improve, Paramount could consider:
Implementing a reservation system for dine-in customers during peak hours.
Enhancing the visibility of the kitchen and food preparation process to entertain waiting customers.
Offering pre-order options through a mobile app to reduce wait times.
Expanding the kitchen or hiring additional staff to alleviate bottlenecks.
Providing complimentary amenities like coffee or snacks to waiting customers.
In conclusion, Paramount’s waiting line system offers an intriguing case study in balancing capacity, customer experience, and operational efficiency. By addressing the questions raised in this essay, Paramount can further optimize its operations and continue to delight its customers while managing the complexities of waiting lines.
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