The ability to tackle NP-hard problems has been greatly extended by the introduction of Metaheuristics (see Blum & Roli (2003)) for a summary of most Metaheuristics, general problem-independent optimisation algorithms extending the hill-climbing local search approach to escape local minima. One of these algorithms is Iterated Local Search (ILS) (Lourenco et al., 2002; Stützle, 1999a, p. 25ff), a recent easy to implement but powerful algorithm with results comparable or superior to other state-of-the-art methods for many combinatorial optimisation problems, among them the Traveling Salesman (TSP) and Quadratic Assignment Problem (QAP). ILS iteratively samples local minima by modifying the current local minimum and restartinga local search porcedure on this modified solution. This thesis will show how ILS can be implemented for MSA.

To render outdoor scenes with lots of vegetation in real time is a big challenge. This problem has important applications in the areas of visualization and simulation. Some progress has been made the last years, but a previously unsolved difficulty has been to combine high rendering quality with abundant variation in scenes. I present a method to mathematically generate and render vegetation in real time, with implementation in the scene graph Gizmo3D. The most important quality of the method is its ability to render scenes with many unique specimens with very low aliasing.

The ability to tackle NP-hard problems has been greatly extended by the introduction of Metaheuristics (see Blum & Roli (2003)) for a summary of most Metaheuristics, general problem-independent optimisation algorithms extending the hill-climbing local search approach to escape local minima. One of these algorithms is Iterated Local Search (ILS) (Lourenco et al., 2002; Stützle, 1999a, p. 25ff), a recent easy to implement but powerful algorithm with results comparable or superior to other state-of-the-art methods for many combinatorial optimisation problems, among them the Traveling Salesman (TSP) and Quadratic Assignment Problem (QAP). ILS iteratively samples local minima by modifying the current local minimum and restartinga local search porcedure on this modified solution. This thesis will show how ILS can be implemented for MSA.

The ability to tackle NP-hard problems has been greatly extended by the introduction of Metaheuristics (see Blum & Roli (2003)) for a summary of most Metaheuristics, general problem-independent optimisation algorithms extending the hill-climbing local search approach to escape local minima. One of these algorithms is Iterated Local Search (ILS) (Lourenco et al., 2002; Stützle, 1999a, p. 25ff), a recent easy to implement but powerful algorithm with results comparable or superior to other state-of-the-art methods for many combinatorial optimisation problems, among them the Traveling Salesman (TSP) and Quadratic Assignment Problem (QAP). ILS iteratively samples local minima by modifying the current local minimum and restartinga local search porcedure on this modified solution. This thesis will show how ILS can be implemented for MSA.

AbstractManagement is a field that started getting attention in the beginning of the 20th century by Frederick Taylor. His publication is called the Principles of Scientific Management and is based on the principles of using scientific methods to find the best way of conducting each operation within a production facility. Many of Taylor?s principles may appear obsolete today but the matter of an effective material flow is still highly current. Efficiency is the relationship between the input into an operation and its result.

Voice onset time (VOT) är en akustisk tidsparameter som speglar den talmotoriska kontrollen. VOT anses vara det mest tillförlitliga akustiska tecknet på om en klusil är tonande eller tonlös.Syfte: att undersöka och jämföra VOT hos barn i åldrarna 3, 4 och 5 år samt jämföra med tidigare publicerade svenska vuxenvärden.Metod: 83 barn (51 flickor; 32 pojkar) ljudinspelades vid produktion av minimala par för de svenska klusilerna.Resultat: medelvärden för VOT minskade genomgående med åldern. Signifikanta skillnader erhölls mellan 3- och 5-åringarna för ljuden /t k b g/ samt gällande användandet av förton för tonande klusiler. Jämförelser med vuxenvärden visade att vuxna i högre utsträckning hade förton för de tonande ljuden och kortare VOT för de tonlösa ljuden än de, i föreliggande studie, deltagande barnen. Inga signifikanta könsskillnader påträffades.Resultaten av föreliggande studie kan användas som referensmaterial vid bedömning av barn med talmotoriska störningar..

Real-time systems are required to answer to external stimuli within a specified time-period. For this to be possible, the systems behaviour must be predictable. The use of active databases in real-time systems introduces unpredictability in the system, e.g. due to their use of active rules. The behaviour in active databases is usually specified in ECA-rules.

It is becoming increasingly important for companies to meet customer demands due to intense competition in today's global market, that forcing companies to improve their offerings and become better at managing their supply chain (Shen et al., 2006).  Long lead times can be reduced by using different methods and strategies shows various researches. Lead times occur in the planning, production, inventories and handling of products (Treville et al., 2003).The aim of the study is to develop a method to analyze the factors that affect the length of internal delivery lead time in manufacturing companies. The method also included suggestions for reducing delivery lead-time to internal customers.The main factors that influenced the length of the on delivery lead times has summarized to make a selection among the factors that can have the most significant impact. The selected elements will be used as a method to analyze how these areas affect a company?s length on internal delivery lead times.The study shows that the causes of the long delivery lead times was the location of the customer order point, uncertain forecasts, long material and production planning time, and long waits in the production and storage.The delivery lead time, according to this report?s suggested improvements reduced by centralizing CODP and makes more reliable forecasts.

To maintain production in high salaries countries and strength in competition against other companies, it is today more important than ever to maximize production, offer a wide spectra of products and be able to deliver on the customers desire of shorter and shorter delivery time. Flexible production and short time spent on die changes is vital to achieve these desires. The interest for die changeover time reduction grew in the same pace as the demand for increased product variety grew. SMED as a method of reducing time spent on die changeovers were developed in between 1950-1970, by the Japanese Shigeo Shingo.The purpose of this thesis work has been to investigate the result of SMED in a die casting facility, and compare the result from it with the result considering time spent on die changeovers when investing in new equipment. The goal is to implement a thorough investigation by using the SMED method at Tenhults Pressgjuteri AB and make a brochure that have to be simple to understand, in purpose to draw interest to the advantages of using SMED as a method.Commissioned by the Swedish foundry association Swecast, the work has been carried out by studying die changeovers at Tenhults Pressgjuteri AB, where filming and interviews with the operators have been included in the analysis.

The ability to tackle NP-hard problems has been greatly extended by the introduction of Metaheuristics (see Blum & Roli (2003)) for a summary of most Metaheuristics, general problem-independent optimisation algorithms extending the hill-climbing local search approach to escape local minima. One of these algorithms is Iterated Local Search (ILS) (Lourenco et al., 2002; Stützle, 1999a, p. 25ff), a recent easy to implement but powerful algorithm with results comparable or superior to other state-of-the-art methods for many combinatorial optimisation problems, among them the Traveling Salesman (TSP) and Quadratic Assignment Problem (QAP). ILS iteratively samples local minima by modifying the current local minimum and restartinga local search porcedure on this modified solution. This thesis will show how ILS can be implemented for MSA.

The ability to tackle NP-hard problems has been greatly extended by the introduction of Metaheuristics (see Blum & Roli (2003)) for a summary of most Metaheuristics, general problem-independent optimisation algorithms extending the hill-climbing local search approach to escape local minima. One of these algorithms is Iterated Local Search (ILS) (Lourenco et al., 2002; Stützle, 1999a, p. 25ff), a recent easy to implement but powerful algorithm with results comparable or superior to other state-of-the-art methods for many combinatorial optimisation problems, among them the Traveling Salesman (TSP) and Quadratic Assignment Problem (QAP). ILS iteratively samples local minima by modifying the current local minimum and restartinga local search porcedure on this modified solution. This thesis will show how ILS can be implemented for MSA.

The ability to tackle NP-hard problems has been greatly extended by the introduction of Metaheuristics (see Blum & Roli (2003)) for a summary of most Metaheuristics, general problem-independent optimisation algorithms extending the hill-climbing local search approach to escape local minima. One of these algorithms is Iterated Local Search (ILS) (Lourenco et al., 2002; Stützle, 1999a, p. 25ff), a recent easy to implement but powerful algorithm with results comparable or superior to other state-of-the-art methods for many combinatorial optimisation problems, among them the Traveling Salesman (TSP) and Quadratic Assignment Problem (QAP). ILS iteratively samples local minima by modifying the current local minimum and restartinga local search porcedure on this modified solution. This thesis will show how ILS can be implemented for MSA.

The ability to tackle NP-hard problems has been greatly extended by the introduction of Metaheuristics (see Blum & Roli (2003)) for a summary of most Metaheuristics, general problem-independent optimisation algorithms extending the hill-climbing local search approach to escape local minima. One of these algorithms is Iterated Local Search (ILS) (Lourenco et al., 2002; Stützle, 1999a, p. 25ff), a recent easy to implement but powerful algorithm with results comparable or superior to other state-of-the-art methods for many combinatorial optimisation problems, among them the Traveling Salesman (TSP) and Quadratic Assignment Problem (QAP). ILS iteratively samples local minima by modifying the current local minimum and restartinga local search porcedure on this modified solution. This thesis will show how ILS can be implemented for MSA.

The term "Project" have become a growing work model that exist in almost all bransches. A project is a work effort made over a finite period of time with a start and a finish to create a unique product, service, or result. Science shows that time limitation has an impact on humans to perform under pressure, which challanges the contributor to deliver. This report contains an examination about project management, both coming from scientific results and an external business. The point of this study is to bring ideas of improvement, which can make the work method more effective in this company..

The ability to tackle NP-hard problems has been greatly extended by the introduction of Metaheuristics (see Blum & Roli (2003)) for a summary of most Metaheuristics, general problem-independent optimisation algorithms extending the hill-climbing local search approach to escape local minima. One of these algorithms is Iterated Local Search (ILS) (Lourenco et al., 2002; Stützle, 1999a, p. 25ff), a recent easy to implement but powerful algorithm with results comparable or superior to other state-of-the-art methods for many combinatorial optimisation problems, among them the Traveling Salesman (TSP) and Quadratic Assignment Problem (QAP). ILS iteratively samples local minima by modifying the current local minimum and restartinga local search porcedure on this modified solution. This thesis will show how ILS can be implemented for MSA.