The Role of Advanced Analytics in Streamlining the Pharmaceutical Supply Chain During Drug Launches

EasyChair Preprint 13655

Abstract

The pharmaceutical industry faces immense challenges in launching new drugs, particularly regarding the complexity of the supply chain. With the advent of advanced analytics, these challenges can be significantly mitigated. This article explores how advanced analytics can optimize the pharmaceutical supply chain during drug launches, focusing on enhancing efficiency, reducing costs, and ensuring timely delivery of drugs to the market. By leveraging big data, machine learning, predictive analytics, and other advanced tools, pharmaceutical companies can streamline their supply chains, ultimately improving patient outcomes and maintaining competitive advantage.

Keyphrases: AI in Pharmaceuticals, Advanced Analytics, Blockchain in Supply Chain, Cold Chain Management, Continuous Improvement, Demand Forecasting, Distribution and Logistics, Inventory Management, IoT in Pharmaceuticals, Predictive Analytics, Predictive Maintenance, Proactive Issue Management, Process Analytics, Real-time tracking, Regulatory Compliance, Risk Mitigation, Supply Chain Efficiency, Supply Chain Visibility, advanced robotics, drug launches, machine learning, manufacturing optimization, pharmaceutical supply chain, quality control

@booklet{EasyChair:13655,
  author    = {Olawale Ajala},
  title     = {The Role of Advanced Analytics in Streamlining the Pharmaceutical Supply Chain During Drug Launches},
  howpublished = {EasyChair Preprint 13655},
  year      = {EasyChair, 2024}}