Optimal Selection of Raw Materials for Pharmaceutical Drug Product Design and Manufacture using Mixed Integer Nonlinear Programming and Multivariate Latent Variable Regression Models

• Published in: Industrial & engineering chemistry research Vol. 52; no. 17; pp. 5934 - 5942
• Main Authors: Garcı́a-Muñoz, Salvador, Mercado, Jose
• Format: Journal Article
• Language: English
• Published: American Chemical Society 01.05.2013
• Subjects: Drugs; engineering; ingredients; Inventories; manufacturing; Materials selection; Mathematical models; Optimization; Raw materials; Regression; regression analysis; Stockpiling

This work presents a mathematical approach to make the most efficient use of historical data from development experiments (or commercial manufacture) to select the ingredients for the composition of a new product or to select the materials from inventory for the manufacture of a new lot of finished...