Development of Artificial Intelligence Systems for Improving Production Planning and Supply Chain Management of Pharmaceuticals

سال انتشار: 1403
نوع سند: مقاله کنفرانسی
زبان: انگلیسی
مشاهده: 159

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شناسه ملی سند علمی:

MAIEWCONF01_036

تاریخ نمایه سازی: 19 فروردین 1404

چکیده مقاله:

The pharmaceutical industry, as one of the major and vital industries, is always in search of new methods and technologies to improve its performance and efficiency. In this regard, the use of artificial intelligence systems as one of the key and effective tools for improving drug production planning and supply chain management has become very important. This article examines the importance and impact of using artificial intelligence systems in the pharmaceutical industry. First, the challenges and areas needing improvement in drug production planning and supply chain management are discussed. Then, various artificial intelligence methods and techniques that can be used in this field are examined and reviewed. Case studies and practical projects that have utilized these methods are also reviewed to demonstrate the role and effectiveness of artificial intelligence in improving the performance of the pharmaceutical industry. Finally, future challenges and opportunities in the use of artificial intelligence to improve drug production planning and supply chain management are discussed. It is expected that this article will provide effective and practical solutions for the pharmaceutical industry to improve the efficiency and effectiveness of drug supply chain and production.

نویسندگان

Pooneh Hamrahi

Department of Industrial Engineering, University of Tehran, Tehran, Iran

Seyede Zakie Sadat Mousavi Jam

Department of Industrial Engineering, University of Tehran, Tehran, Iran