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The effectiveness of the proposed method is assessed in an oil production network and compared with mathematical optimization based on piecewise-linear models.
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.
To meet these ends, a mathematical optimization based framework is being developed, with enables the inclusion of profitability measures and other techno-economic metrics along with process insights obtained from experimental as well as modeling and simulation studies.
To meet these ends, a mathematical optimization based framework has been developed, which enables the inclusion of profitability measures and other technoeconomic metrics along with process insights obtained from experimental as well as modeling and simulation studies.
To meet these ends, a mathematical optimization based framework is being developed, which enables the inclusion of profitability measures and other techno-economic metrics along with process insights obtained from experimental as well as modeling and simulation studies.
Similar(54)
A mathematical formulation for optimization, based on classical performance and cost measures such as compliance and mass, is given.
We consider optimal deployment of the passive IB-DAS, focusing on mathematical optimization models based on integer programming, for the topology design and optimal equipment selection of IB-DAS.
Rigorous mathematical optimization methods based on predictive models for products, structures, and processes catalyze new possibilities for true design of particulate products which is at the core of mesoscale science and technology.
A few previous studies have suggested mathematical optimization procedures based on very simple cost models; this study extends the methodology to cover even non-linear cost scenarios.
This work presents a multi-period and multi-objective optimization based on mathematical programming of solar assisted absorption cooling systems.
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simple optimization based
automatic optimization based
numerical optimization based
mathematical presentation based
mathematical programming based
mathematical equation based
mathematical model based
mathematical morphology based
mathematical routine based
mathematical theory based
mathematical modeling based
mathematical formulation based
mathematical knowledge based
mathematical deduction based
mathematical problem based
mathematical validation based
mathematical code based
mathematical formula based
mathematical approach based
mathematical tool based
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