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.

This examination report is a part of a program for Industrial organisation and Economics with specialization in Logistics and Management at Jönköping University. The report contains an analysis of the internal material handling at Kongsberg Automotive, and also an improvement proposal for a new material handling system.The aim with the report is to find a better material handling system and also make an analyse of the existing system. The goal is to shorten the distance for the operators when they order material, and also to increase the productivity.The investigation methods for the report have for the most part consisted of observations and interviews of key-persons who daily work in the production. During some time the actual material handling-system has been observed and some shortcomings have been discovered, and these are also discussed in the report.The shortcomings that have been discovered are for once the indistinct signal that should signal need of material in the production. Some other activities have also been discovered that does not bring any value into the final products.

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.

In the beginning of the 21th century several successful companies filed for bankruptcy. These bankruptcies have been known as large accounting scandals and the largest scandals did Enron and Worldcom stand for. These bankruptcies arose without any warning signal from the auditors about the companies? financial problems and their inability to continue as a going concern. The bankruptcies damaged the reputation of auditors and broad criticism has developed at the auditors? inability to discover companies? financial problems and their unwillingness to reveal a going concern opinion in the audit report.

At the beginning of the nineties, a new form of organisation, the process organisation, was about to be born. The features of the process organisation were a flexible organisational that works in a world where the pace of development is increasing all the time. Today there are many organisations that have mapped their processes, but in order to truly become a process organisation, the processes among other things have to be in harmony with e.g. organisational culture. Which effects the organisational culture has on the process organisation is yet unexplored, but however quite crucial.

The purpose of this master thesis is to examine how librarians/cultural workers act in projects in order to stimulate and promote reading among children and youth in sparsely populated regions in the county of Jämtland during a period of three years, and if/how these projects differ. The examination is based upon the progress of these projects in four of eight communities. Four librarians and two cultural workers have been interviewed in order to get their view of the proceedings of the projects. The results indicate that the four communities all made up plans for three years but in different ways. They mainly collaborated with the school but also with the board of children's health and the preparatory school.

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.

This work aims to improve our knowledge about Swedish video game journalists, a new occupation in a quickly expanding business. Through a survey sent out to over 50 Swedish video game journalists, the result indicate some unexpected facts. Men largely dominate the profession; just 10 % of the work forces are females. This relation was notable in our survey, as well as in earlier studies. Video game journalists between 26 and 35 years old seems to be the largest age group, which we think is a bit surprising considering how new this form of journalism is, and the fact the internet provides opportunities for every enthusiastic video game writer.

The absence of female directors on Swedish corporate boards is currently a hot topic for both politicians and business leaders all over the world. This thesis aims to discuss reasons for the scarcity of women on boards in Swedish publicly listed companies as well as what actions are taken to alter the composition of these boards. A rigorous selection of gender theories have been used together with data collected from in-depth interviews with mainly board members and nomination committees. Extensive analysis has led to findings that historical perceptions of differences between men and women linger as of today, which prevents women to reach top executive levels as well as board positions. The increasing use of headhunters has encouraged companies to look beyond male-dominated networks in an attempt to widen the range of potential board nominees.