Design principles
In addition to the general Well-Architected cost optimization design principles, there are some design principles specific for cost optimization for supply chain. These principles encompass the key aspects of cost optimization in the supply chain domain while using AWS services and capabilities. They focus on aligning costs with value, optimizing data management, automating operations, and maintaining ongoing cost optimization efforts.
-
Align cost with supply chain value and scalability: In supply chain, activity-based costing is crucial. Controlling costs on an activity level requires visibility, transparency and large-scale reporting. Explainability of each costing item is an industry requirement. Accurately calculating each costing item necessitates comprehensive supply chain visibility, emphasizing the need for transparency, data integration, and collaboration with suppliers and logistics partners.
-
Optimize data management and processing: Emphasize data efficiency and relevance in supply chain operations. Choose cost-effective and efficient locations for data processing. Implement secure and cost-effective data storage solutions.
-
Automate and streamline operations: Design for automation and efficiency to reduce manual tasks and minimize errors. Use services like AWS Lambda and AWS Step Functions for workflow automation. Implement cost-effective architectures that enhance supply chain responsiveness and efficiency. Introducing Robotics, computer vision and tracking systems reduce long term costs and increases efficiency and accuracy.
-
Continuously monitor and optimize costs: Use AWS Cost Management tools to monitor, analyze, and optimize spending to foster a culture of cost awareness across teams. Regularly review AWS usage and costs to identify savings opportunities. Implement lifecycle policies for data management and cost-efficient resource utilization.
