Network Optimization in R
Harness the power of AI-native Athena Notebooks in R to streamline supply chain efficiency and optimize logistics operations. Implement seamless management of facility locations, comprehensive analysis of transportation costs, and evaluation of various fulfillment options. Offering a hands-off coding experience, Athena Notebooks facilitate the generation of detailed cost-benefit analysis reports, empowering data-driven decision-making.
For instance, a Formula One team can refine their logistics strategy by optimizing the transportation of cars and equipment to international race venues, ensuring the timely delivery of essential components, thereby enhancing their operational performance and competitive edge.
Network Optimization in R using Athena
Step-by-step Instructions
Create a Notebook
Navigate to Spaces. Click on the ’+’ icon -> Notebook on top of the left sidebar to create a new notebook.
Change the kernel
In the Notebook, click on Python 3 (ipykernel) and select R from the options. Click on Select.
Upload the datasets
Upload the required datasets as Athena assets by clicking on ’+’ icon -> Upload.
Load the datasets
Enter the following prompt in Chat and press Enter.
your-dataset(s)-name
& your-notebook-name
by selecting all the required datasets and notebook from the Athena Assets dropdown.Analyze Transportation Costs and Delivery Times
Enter the following prompt and press Enter.
your-transport-costs-delivery-times-dataset
by selecting the corresponding dataset from the Athena Assets dropdown.Compare Fulfillment Options
Enter the following prompt and press Enter.
your-fulfillment-options-dataset
by selecting the corresponding dataset from the Athena Assets dropdown.Generate Cost-Benefit Analysis
Enter the following prompt and press Enter.
Visualize Results
Enter the following prompt and press Enter.
Document Findings
Enter the following prompt and press Enter.