Search for dissertations about: "Simulation based optimization"

Showing result 1 - 5 of 360 swedish dissertations containing the words Simulation based optimization.

2. 1. Simulation based design : structural optimization at early design stages

   Author : Marcus Redhe; Linköpings universitet; []
   Keywords : ;

   Abstract : The aim of this thesis is to evaluate and develop different modelling tools which can be used in the vehicle crashworthiness design process. These tools will improve the understanding of the vehicle behaviour and thus improve the crashworthiness of the vehicle. READ MORE

4. 2. Towards strategic development of maintenance and its effects on production performance : A hybrid simulation-based optimization framework

   Author : Gary Linnéusson; Amos H. C. Ng; Tehseen Aslam; Daniel Tesfamariam Semere; Högskolan i Skövde; []
   Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Strategic development; maintenance behavior; maintenance management; sustainable change; tradeoff optimization; system dynamics; discrete event simulation; problem structuring; multi-objective optimization; decision support; Production and Automation Engineering; Produktion och automatiseringsteknik;

   Abstract : Managing maintenance in manufacturing within an economical short-termism framework and taking the consequential long-term cost effects into account is hard. The increasing complexity of managing maintenance and its impact on the business results calls for more advanced methods to support long-term development through effective activities in the production system environment. READ MORE

5. 3. Dynamic Resampling for Preference-based Evolutionary Multi-objective Optimization of Stochastic Systems : Improving the efficiency of time-constrained optimization

   Author : Florian Siegmund; Kalyanmoy Deb; Amos H.C. Ng; Sanaz Mostaghim; Högskolan i Skövde; []
   Keywords : NATURVETENSKAP; NATURAL SCIENCES; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Evolutionary multi-objective optimization; simulation-based optimization; guided search; preference-based optimization; reference point; decision support; noise; stochastic systems; dynamic resampling; budget allocation; sequential sampling; hybrid; ranking and selection; Natural sciences; Naturvetenskap; Technology; Teknik; Production and Automation Engineering; Produktion och automatiseringsteknik;

   Abstract : In preference-based Evolutionary Multi-objective Optimization (EMO), the decision maker is looking for a diverse, but locally focused non-dominated front in a preferred area of the objective space, as close as possible to the true Pareto-front. Since solutions found outside the area of interest are considered less important or even irrelevant, the optimization can focus its efforts on the preferred area and find the solutions that the decision maker is looking for more quickly, i. READ MORE

6. 4. Simulation-based multi-objective optimization of productivity and worker well-being

   Author : Aitor Iriondo Pascual; Anna Syberfeldt; Dan Högberg; Erik Brolin; Johan Ölvander; Högskolan i Skövde; []
   Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Ergonomics; Productivity; Optimization; Simulation; User Centred Product Design; Användarcentrerad produktdesign; VF-KDO; VF-KDO;

   Abstract : In industry, simulation software is used to simulate production, making it possible to predict events in production, calculate times and plan production, even in the early phases of the production development process. Software known as digital human modelling (DHM) tools can also be used to simulate humans working in production. READ MORE

7. 5. Model Based Optimization of a Complete Diesel Engine/SCR System

   Author : Claes Ericson; Förbränningsmotorer; []
   Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; MPC; model based optimization; real time models; model based control; SCR; optimization; EGR;

   Abstract : Achieving upcoming emissions legislation (Euro VI) for heavy trucks is a serious challenge for the manufacturers. Apart from the increasingly strict limits on nitrogen oxides (NOx) and particulate emissions (PM), the limited amount of fossil fuels as well as alarming climate changes simultaneously drives the demand for low CO2 emissions. READ MORE