Supply Chain Planning is the process of coordinating assets to optimize the delivery of goods, services and information from supplier to customer, balancing supply and demand. The integrated Supply Chain Planning model includes a hierarchy of planning cycles which aggregate up and down between operational, business and strategic planning. Each of these cycles have their own focus and purpose.
Clinical supplies planning requires significant experience and effort, is at risk from both human error and a lack of understanding of complicated planning tools. Due to disconnected systems and planning cycles there lacks end-to-end visibility to the entire supply chain.
Technology should eliminate many of these challenges and enable the CSP to build an initial supply plan, ensure efficient supply management and enable sound business decisions. Modern supply forecasting technology allows the CSP to:
- Efficiently manage their work through an intuitive, simple user interface
- Compare what-if scenarios
- Modify study design changes
- View actuals versus plan
- Frequently update the plan
- Provide aggregated views at compound and manufacturing/distribution levels
With modern technologies such as Natural Language Programming (NLP), well-chosen statistical methods, powerful reporting analytics and easy configurable integrations, this capability is on the horizon.