2023 - Supply Chain Strategies for 2023
Date2023-05-17
Deadline2023-05-17
VenueWebinar, USA - United States
KeywordsPharmaceutical Manufacturing; Pharmaceutical Supply Chain; Supply Chain
Topics/Call fo Papers
It is an exciting time in the supply chain arena! In this webinar, the featured speaker will explore actions an organization can undertake to identify potential supply chain gaps today and to predictively identify trends that may lead to future supply chain disruption. The speaker will discuss key areas for supply chain strategies: Operational Readiness Assessment, Business Continuity Planning and adoption of Advanced Analytics as a methodology for determining supply chain decisions.
Over three years after the onset of COVID, supply chains are slowly starting to recover from its devastating impact. The ability to obtain medical commodities, raw materials, even transport and equipment is slowly beginning to normalize — that is to the ‘new’ normal, not at pre-pandemic levels. Although the backlog of ships at anchor outside of the ports of Long Beach and Los Angeles has not disappeared, improvements have been made in the availability of resources (drivers, equipment, 24-hour unloading) needed to offload and deliver goods. Efforts to onshore or near-shore raw materials are underway — but meaningful results are still in the future. Exporting countries continue to experience human resource shortages but have been able to open their borders to reduced production. Adopting supply chain strategies can greatly optimize this process.
Advanced Analytics (AI)
Advanced, predictive analytics are the key to identifying supply chain trends and shortening the time needed to react to unplanned events. As mentioned previously, historical analytics (lagging indicators), such as sales ratios, inventory turnover, number of stockouts are often used to determine inventory and safety stock levels. While important, history alone is not actionable; what is needed for robust supply chains now are forward-looking analytics (predictive indicators) that can leverage organizational data to determine the best (optimal) supply chain planning decisions. Supply chain programs that make use of advanced analytics such as artificial intelligence (AI), and machine learning (ML) can optimize an organization’s supply chain.
Register for this webinar to learn more about key supply chain strategies — with recommendations for how to implement operational readiness assessment, business continuity planning, and potential uses for advanced analytics.
Over three years after the onset of COVID, supply chains are slowly starting to recover from its devastating impact. The ability to obtain medical commodities, raw materials, even transport and equipment is slowly beginning to normalize — that is to the ‘new’ normal, not at pre-pandemic levels. Although the backlog of ships at anchor outside of the ports of Long Beach and Los Angeles has not disappeared, improvements have been made in the availability of resources (drivers, equipment, 24-hour unloading) needed to offload and deliver goods. Efforts to onshore or near-shore raw materials are underway — but meaningful results are still in the future. Exporting countries continue to experience human resource shortages but have been able to open their borders to reduced production. Adopting supply chain strategies can greatly optimize this process.
Advanced Analytics (AI)
Advanced, predictive analytics are the key to identifying supply chain trends and shortening the time needed to react to unplanned events. As mentioned previously, historical analytics (lagging indicators), such as sales ratios, inventory turnover, number of stockouts are often used to determine inventory and safety stock levels. While important, history alone is not actionable; what is needed for robust supply chains now are forward-looking analytics (predictive indicators) that can leverage organizational data to determine the best (optimal) supply chain planning decisions. Supply chain programs that make use of advanced analytics such as artificial intelligence (AI), and machine learning (ML) can optimize an organization’s supply chain.
Register for this webinar to learn more about key supply chain strategies — with recommendations for how to implement operational readiness assessment, business continuity planning, and potential uses for advanced analytics.
Other CFPs
- Implementing Clinical Trial Analytics to Predict Trial Outcomes
- Preclinical Models for the Identification of Chemotherapy Predictive Signatures in Pancreatic Cancer
- Wearables for eCOA: Practical Considerations for Improving Patient Data Capture
- Drug and Device Development Outsourcing with the Research Consulting Organization (RCO) Model
- Advances in Precision Medicine, NGS Testing & Breaking Barriers with Clinical Trials
Last modified: 2023-05-09 06:01:29