This guide will walk you through each step of simulating the pizza delivery process, from setting up your simulation environment to analyzing results and optimizing performance. Along the way, you’ll learn how to configure settings, manage resources, and use various visualization tools to gain insights and improve the process.
Here’s an overview of the areas we’ll cover.
Configuring simulation settings
Begin by setting up your simulation settings to ensure accurate, consistent results. This involves choosing a base unit for time and a currency for costs. Defining these early on ensures that your calculations reflect real-world measurements.
Set up calendars to reflect real-world conditions that impact your process, such as weekends and weekdays. This ensures the simulation accounts for timing variations and operational changes throughout different periods.
Define trigger times to control the frequency and occurrence of events in your simulation. By adjusting trigger times, you can simulate scenarios like delays or repeated events to better understand process performance.
Defining task processing times
Set task processing times to determine how long each activity takes to complete. By defining task processing times accurately, you ensure the simulation mirrors real-world conditions, providing valuable insights into performance.
Define task costs to understand the financial impact of each activity in the process. By defining task costs accurately, you can pinpoint areas for cost reduction and evaluate the overall economic performance.
Allocate resources to ensure the efficient execution of the process. Efficient resource management ensures tasks are completed on time, within budget, and with optimal use of available assets.
Run the simulation to observe how the process behaves with the settings you’ve defined. This provides a baseline for further analysis and helps you identify inefficiencies or delays.
Explore the analysis interface and dive into the simulation results. This will prepare you to use a variety of visualization tools to pinpoint key performance areas and identify opportunities for improvement.
Visualizing performance with the heatmap
Use the heatmap widget to visualize performance. The color-coded scale helps you spot trends and patterns quickly, highlighting areas that need attention so you can focus your efforts on improving them.
Taking a closer look with the table
Analyze your simulation data in detail with the table widget. By examining various outputs, you’ll focus on specific issues and gain a clearer understanding of the problem areas.
Confirming bottlenecks with the bar chart
Visualize the performance of different elements in your process with the bar chart widget. This horizontal chart helps you quickly identify trends, outliers, and areas for performance improvement.
Optimizing parameters to cut wait times
Review the insights gathered from your simulation. Identify bottlenecks, delays, and areas for improvement. Based on this analysis, you’ll adjust parameters to improve the pizza delivery process.