Determining the Key Factors Impacting Pharmaceutical Supply Chain in Pursuit of Export Competitiveness: A Machine Learning Approach

April 24, 2024

Project ID: AIRG/2023/MPE/05/13

Funding Source: AUST Internal Research Grant

Project Awarded: 1st April, 2024

 

Principal Investigator:

A.N. Mustafizul Karim

Professor, MPE Department, AUST

 

Co-principal Investigator/s:

Sadia Hasanat

Lecturer, MPE Department, AUST

 

Dr. Mahbubul Haque

Associate Professor, BBA Department, University of Asia Pacific

 

Project Duration: 2 years

Budget approved: 6,16,000/-

 

Expected Research Outcomes:

  • Identification and ranking of significant factors impacting pharmaceutical production efficiency.
  • Development of machine learning models for predictive analysis of production outcomes.
  • Real-time predictions and proactive decision-making capabilities.
  • Actionable recommendations for pharmaceutical companies to optimize processes, reduce costs, and ensure compliance.
  • Continuous monitoring system to maintain and enhance production efficiency, quality, and compliance.
  • Improved pharmaceutical production processes, resource allocation, and product quality.
  • Contribution to the industry’s adaptability and sustainability in a rapidly evolving healthcare environment.
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