The purpose of this study was to determine if and how the city district of Södra Innerstaden in Malmö, by using the Skärholms model, demand their client to reciprocate. The first problem set was to see how the demand was shown in the social service act from year 1998. From there the motives behind the Introduction of the Skärholms model in city district of Södra Innerstaden were researched and also if there were a demand on reciprocity in city district of Södra Innerstaden public administration. The study was conducted in an exploratory way. The method used was to describe the idea behind Skärholms model after examining documents from the public administration.

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 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.

Introduction:Corporate limits becoming more diffuse due to the globalization taking place and requirements for analytical strategies are becoming more fundamental parts of organizations. Business Intelligence systems are hot and not without reason, today's world is spinning faster and with a flow of information that is constantly increasing Business Intelligence promises to introduce a support that will render a better decision-making, something that everyone wants.Problem Discussion:The local government business has today demands from the Swedish School-inspection to analyze and create adequate target images to the school and students meet curriculum goals and guidelines. Therefore, local government activities has increasingly begun to implement Business Intelligence tools, with the purpose to facilitate strategic and operational decisions were the result plays an increasing role in today's society.Purpose:This study evaluates how the analysis tool Qlikview fulfills the function of monitoring and controlling the improved student achievement in public schools.Method:The evaluation has been conducted qualitative interviews with staffs that have leadership positions in each municipality and management and possess a deep knowledge of the analysis tool and its processes.Conclusion:The evaluation has shown positive effects on the monitoring and control of student performance through better control of school operations..

In the haulage business customers are constantly requesting new features. Hence thedevelopment department must constantly update their system which ultimatelyresults in a variety of versions of the system. The large number of versions creates acomplexity which often reduces product quality and extends the developmentlifecycle time.The work on the following thesis has taken place at Scania?s Fleet Managementdepartment, which develops tools for hauliers to track their vehicle fleet in real time.The purpose of this thesis was to examine how Scania can handle an increasedamount of versions of the Fleet Management System which Scania expect will be seenin the future. The investigation was conducted by preparing a number of differentscenarios that formed the basis for a discussion of what these different scenarioswould mean for different parts of Scania?s business.

Title: The dynamics of the Audit expectation gapIntroduction: The audit expectations gap is the difference that exists between what auditors and users of accounting information expects an independent auditor to do. Since the definition arose in 1974, much research has been done about the gap. What is relatively unexplored is how the gap changes over time within a country, and how it is affected by external events. This lack of knowledge has motivated this study.Problem: How has the audit expectation gap changed in Sweden, from the emergence of the definition until today? In which way have corporate scandals and legislative changes affected the gap?Purpose: The aim is to identify and create an understanding of how the audit expectation gap has changed in Sweden.

The Library of Uppsala University has decided to change their classification system from the Swedish SAB system to the American Dewey Decimal Classification. One of the main reasons for this decison was that Kungliga biblioteket also has made an exchange between these systems. Due to that, the national bibliography of Sweden classifies Swedish documents according to Dewey Decimal Classification and the SAB system is no longer maintained. A transition to Dewey Decimal Classification will enable Swedish librarians to import foreign catalouge posts and classification codes and will provide them with a common standard between their libraries and other libraries due to the use of the same international classification system. It is disputed whether the Dewey Decimal Classification is equally suitable for all subjects.

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.