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

EasyChair Preprint no. 13655

9 pagesDate: June 14, 2024


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

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
  author = {Olawale Ajala},
  title = {The Role of Advanced Analytics in Streamlining the Pharmaceutical Supply Chain During Drug Launches},
  howpublished = {EasyChair Preprint no. 13655},

  year = {EasyChair, 2024}}
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