The invention discloses an anti-nasal
allergy gel
production optimization method based on
data analysis, particularly relates to the field of
resource allocation and
production optimization, and is used for solving the problems that in the existing anti-allergic gel production process, response to regional and seasonal demand changes is delayed, and
raw material supply constraint and
production line switching cost are difficult to collaboratively balance. According to the method,
raw material supply chain data, market sales records and environmental
allergen time sequence data are collected to construct a unified space-time associated data basis, the
recurrent neural network is utilized to predict the anti-
allergic response intensity in a future
production cycle, and product
dosage form preference weights are formed based on association
rule mining. On the basis, various
executable candidate production schemes are generated in combination with
raw material inventory and delivery cycle constraints, and decision selection is further performed on the schemes according to the real-time state of a
production line and switching cost, so that refined configuration and efficient execution of the production process of the anti-nasal
allergy gel are realized.