Week 1: Mini Case: Supermarket Queues
Scenario:
Supermarkets, like many retail establishments, face the challenge of efficiently managing queues, especially during peak hours. Over staffing leads to increased costs, while under staffing leads to long wait times, potentially affecting customer satisfaction and loyalty.
As a newly appointed business analyst for "SuperMart," your task is to help the management ensure that there are enough employees at the checkout counters during busier times without excess staffing during lean hours.
What the assignment is asking you to do:
- Data Collection: List the types of data SuperMart would need to collect to understand its peak and off-peak hours. Consider both qualitative and quantitative data sources.
- Data Analysis: Propose a decision-making model based on this week's lessons to analyze this data. How would you use this model to predict the busiest hours and determine the optimal number of staff required?
- Operational Decisions: Based on your analysis, provide a recommendation on staffing levels throughout the day, ensuring efficient customer flow during peak hours while avoiding unnecessary staffing costs during slower times.
Guidelines:
- Ensure to integrate the concepts of decision-making models discussed this week.
- Remember to account for potential variations in data. For instance, weekdays vs. weekends or seasonality.
- Consider the trade-off between customer satisfaction (waiting time) and operational costs (staffing).
Submission Instructions:
- Present your solutions in a well-structured 1–2-page analysis.
- A 3–5-page Word Document including title page and references page. Format your paper according to APA standard 7th