Question

Definition of optimization in author stream

Answer 1

PowerPoint Presentation:3 INTRODUCTION OPTIMIZATION It is defined as follows: choosing the best element from some set of available alternatives. In Pharmacy word “optimization” is found in the literature referring to any study of formula. In development projects pharmacist generally experiments by a series of logical steps, carefully controlling the variables and changing one at a time until satisfactory results are obtained. This is how the optimization done in pharmaceutical industry . OPTIMIZATION is an act, process, or methodology of making design, system or decision as fully perfect, functional or as effective as possible . Optimization of a product or process is the determination of the experimental conditions resulting in its optimal performance.
:Optimization Parameters Optimization parameters Variable types Problem types Independent variables Unconstrained Dependent variables Constrained
Problem types in optimization: Problem types in optimization Unconstrained Constrained no restrictions are restrictions are placed placed on the system on the system eg: preparation of hardest eg: preparation of hardest tablet without any disintegration tablet which has the ability of or dissolution parameters. disintegrate in less than 15min
variables in optimization: variables in optimization Independent Dependent variables directly under the control responses that are developed of formulator due to the independent variables eg: eg: disintegrant level disintegration time compression force hardness binder level weight uniformity lubricant level thickness mixing time etc
PowerPoint Presentation:response surface curve Once the relationship between the variable and the response is known, it gives the response surface as represented in the Fig. 1. Surface is to be evaluated to get the independent variables, X1 and X2, which gave the response, Y. Any number of variables can be considered, it is impossible to represent graphically, but mathematically it can be evaluated. Fig I; response surface curve.