Considering the uncertainty of economic conditions, multi-objective optimisation can be favoured to single-objective optimisation for process design. However, from the Pareto sets generated by multi-objective optimisation it is not obvious to identify the best one, given that each solution is optimal with regard to the selected objectives. A method taking into account the economic parameters un...

In engineering it is usually necessary to design systems as cheap as possible whilst ensuring that certain constraints are satisfied. Computational optimisation methods can help to find optimal designs. However, it is demonstrated in this work that an optimal design is often not robust against variations caused by the manufacturing process, which would result in unsatisfactory product quality. ...

Feedback control schemes have been widely used in many engineering applications for a long time. Despite this, there has been very little work done on eecient design of experiments for modeling feedback control processes in order to select the appropriate feedback variables. This paper considers a general statistical formulation of this problem and studies the properties of optimal designs in t...

An orebody model constitutes a threedimensional accumulation of mining units (blocks). The available metal content in a mining unit and the economic parameters, such as metal price, mining cost, processing cost, marketing or selling cost, as well as the metallurgical recovery, are used to calculate the economic value of a particular mining block. A mining block with a positive value is classifi...

This paper addresses the optimal design and planning of cellulosic ethanol supply chains under economic, environmental, and social objectives. The economic objective is measured by the total annualized cost, the environmental objective is measured by the life cycle greenhouse gas emissions, and the social objective is measured by the number of accrued local jobs. A multiobjective mixed-integer ...

Economic efficiency is improved in the presence of an implemented risk management program of the insurer. Risk management requirements are imposed by regulators to reduce the insurers’ insolvency risk, as well as to improve the insurance market stability. We extend the classical analysis on optimal insurance design to the case when the insurer implements regulatory requirements (Value-at-Risk)....

Title of Document: MULTI-DISCIPLINARY SYSTEM DESIGN OPTIMIZATION Kevin Luft Master of Engineering Management Old Dominion University, Virginia Master of Science, Systems Engineering, 2006 University of Maryland, College Park Directed By: Dr. Mark Austin Department of Civil and Environmental Engineering and Institute for Systems Research University of Maryland, College Park Multidisciplinary Sys...

In this paper we consider the problem of constructing T -optimal discriminating designs for Fourier regression models. We provide explicit solutions of the optimal design problem for discriminating between two Fourier regression models, which differ by at most three trigonometric functions. In general, the T -optimal discriminating design depends in a complicated way on the parameters of the la...