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Robust parameter design for the optimisation of cutting conditions according to energy efficiency criteria
energy efficiency optimization sustainable development Taguchi design
2017/2/21
An important objective in process design in the wood-processing industry is to make the system robust – or insensitive – to sources of variability that cannot be entirely controlled once the system is...
Application of the “boundary line analysis method” for the optimisation of the number of tractors used in an agricultural company
costs optimisation tractors deployment tractor number optimisation
2014/3/28
h e “boundary line analysis method” calculates the minimal total annual operational costs used for the optimisation of number of tractors owned by agricultural companies. h is calculation refl e...
Application of the “boundary line analysis method” for the optimisation of the number of tractors used in an agricultural company
costs optimisation tractors deployment tractor number optimisation
2014/3/28
h e “boundary line analysis method” calculates the minimal total annual operational costs used for the optimisation of number of tractors owned by agricultural companies. h is calculation refl e...
Optimisation of a clam bunk skidder from the emission production point of view
mathematical model production system combustion engine ate of performance emission sulphur dioxide unburned hydrocarbons nitrogen oxides
2014/2/25
This article presents a proposal of a simple mathematical model for minimisation of the production of extraneous substances as a function of the rate of operation performance of a production system. T...
Random Matrix Theory and Fund of Funds Portfolio Optimisation
Random Matrix Theory Hedge Funds Fund of Funds Correlation
2010/10/20
The proprietary nature of Hedge Fund investing means that it is common practise for managers to release minimal information about their returns. The construction of a Fund of Hedge Funds portfolio re...
Optimisation of Stochastic Programming by Hidden Markov Modelling based Scenario Generation
Markov Processes Risk Analysis Stochastic Programming Scenarios
2010/10/29
This paper formed part of a preliminary research report for a risk consultancy and academic research. Stochastic Programming models provide a powerful paradigm for decision making under uncertainty. I...