Search for dissertations about: "Dynamic Simulation and Optimization"
Showing result 1 - 5 of 106 swedish dissertations containing the words Dynamic Simulation and Optimization.
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1. Bringing Together Lean, Simulation and Optimization : Defining a framework to support decision-making in system design and improvement
Abstract : The rapid changes in the market including globalization, the requirement for personalizedproducts and services by the customers, shorter product life-cycles, the exponential growthof technological advances, and the demographical changes, will demand organizations toeffectively improve and design their systems in order to survive. This is the actual paradigmcharacterizing the industrial and service sectors. READ MORE
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2. Logistics of Earthmoving Operations : Simulation and Optimization
Abstract : Earthworks are a fundamental part of heavy construction engineering and involve the moving and processing of the soil surface of earth. Normally, earthmoving operations are carried out during the early stages of heavy construction projects. READ MORE
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3. Towards strategic development of maintenance and its effects on production performance : A hybrid simulation-based optimization framework
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
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4. Simulation and Optimization of Recirculating Aquaculture Systems
Abstract : Recirculating aquaculture -- intensive fish farming with water treatment and reuse -- has great potential as a method for sustainable food production. Benefits over traditional aquaculture include opportunities to reduce nitrogen emissions to water, control of temperature, salinity and pH, reduced environmental impact of escapes and better protection against e. READ MORE
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5. Dynamic Resampling for Preference-based Evolutionary Multi-objective Optimization of Stochastic Systems : Improving the efficiency of time-constrained optimization
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