Year: 2025
Type: article
Abstract: The growing field of cell therapy offers promising treatments for various diseases, including cancers and genetic disorders. However, the unique nature of its supply chain, particularly in demand planning, presents unique challenges. This paper provides a brief overview of the cell therapy supply chain, highlighting the critical role of demand planning. It looks at methodologies, explores the integration of predictive analytics in demand planning space by weighing and comparing various modeling approaches and assesses how such advancements can enhance forecasting accuracy. The discussion further delves into the broader implications of improved demand planning on the cell therapy sector and the healthcare industry at large
Author: Ashish Patil
Language: English
Field: Decision Sciences
Domain: Social Sciences
Open Access status: hybrid
OpenAlex ID: W4409117819