In this work we present a mathematical optimization based methodology for simultaneous formulae and process design in the consumer product business applied to the case of laundry detergents.
In this work we present a mathematical optimization based methodology for simultaneous formulae and process design in the consumer product business applied to the case of the laundry detergent.
Prediction of an optimal growth rate as a measure of growth phenotype could be achieved through various mathematical metabolic optimization methodologies making use of constraint-based formalisms [ 3].
Techniques of process integration can be applied to conserve resources such as energy, freshwater, cooling water, hydrogen, solvent, etc. Process integration methodologies are broadly classified into two categories: methodologies based on the mathematical optimization techniques and methodologies based on the conceptual approaches of pinch analysis.
Using the principles of Pinch Analysis and techniques of mathematical optimization, a new methodology for integration of TVC with MEE is proposed in this paper.
In mathematics, mathematical optimization (or optimization or mathematical programming) refers to the selection of a best element from some set of available alternatives.
This paper describes an attempt to address this challenge by developing a methodology using mathematical optimization and SD indicators.
A new methodology, based on the principle of process integration combined with mathematical optimization, is developed in this paper to determine the optimal feed flow rate to each effect.
Manninen and Zhu (1998) presented a new methodology which combines the benefits of thermodynamics, economics and mathematical optimization for the new design of power plants.
The methodology is based on a flow solver, and a mathematical optimization tool, which are integrated into an automated procedure.
