SCSUS04-BP02 Build and run optimization models for resources involved in supply chains sustainability - Supply Chain Lens

SCSUS04-BP02 Build and run optimization models for resources involved in supply chains sustainability

Consider building and run specific optimization models targeting supply chains sustainability, through scenarios simulation able to simulate resources usage and collect metrics for supply chains planning, execution and enablement.

Desired outcome: Develop and use optimization models to identify opportunities for operations efficiency, resource efficiency, reduce emissions, and align resource usage with both sustainability and business objectives.

Benefits of establishing this best practice: Facilitates data-driven resource allocation, helps with optimal performance with minimal environmental impact, and supports comprehensive scenario planning for supply chain operations.

Level of risk exposed if this best practice is not established: High

Implementation guidance

Optimization models specifically envisioned for supply chain sustainability can be designed, built, and configured through optimization capabilities running on AWS as managed services.

This allows you to optimize your operations and the use of resources to achieve lower CO2 emissions and energy optimization, while generating more efficient purpose-built analysis for sustainability. The integration of these sustainability measures with existing optimization analysis enables greater focus on cost efficiency, service-level performance, and the ability to respond to disruptions or failures.

Implementation steps

  1. Design and develop optimization models specifically focused on supply chain sustainability using AWS managed services.

  2. Integrate sustainability Software and architecturemetrics with existing cost efficiency and performance optimization models.

  3. Implement scenario simulation capabilities to test different resource allocation strategies and their sustainability impact.

  4. Configure automated optimization workflows that balance sustainability goals with operational efficiency and requirements.

  5. Establish feedback loops to continuously improve optimization models based on actual performance and sustainability outcomes.

  6. Create reporting and visualization tools to communicate optimization results and sustainability improvements to stakeholders.