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.

Humanity faces a major challenge with the climate and environmental crisis, largely driven by reckless recourse use and greenhouse gas emissions by corporations. The EU?s Corporate Sustainability Reporting Directive (CSRD) aims to standardise corporate sustainability reporting, making practices more transparent and comparable. This directive seeks to enhance sustainability practices and guide market forces towards sustainability, supporting the EU?s goal of net-zero emissions by 2050.

Abstract. Title: Supply Chain Optimization ? for Sourced Production. Authors: Patricia Möller and Andreas Paulsson. Tutors: Jan Eskil Hollen ? Business Developer, Lilleborg as, Orkla, Everth Larsson ? Department of Industrial Management and Logistics, Division of Engineering Logistics, Lund University, Carl-Henric Nilsson ? Department of Economics and Business Administration, School of economics and management, Lund University.

Cloud computing has become a very publicized and popular concept in recent years, both in business literature and research, where data ownership is the security aspect which has usually been ranked the highest of the disadvantages that can be identified with cloud services. Today there is a lack of research on information ownership from an informatics perspective, as it is most often discussed from a legal perspective.In our study we interviewed six different companies that use cloud services, on which attitudes and reasoning they had on their information ownership. We compared these attitudes with the attitudes we identified in business literature and research on the subject. In business literature we found four recurring themes which were very clear about how a company should govern information ownership.Overall the results of our interviews showed that there is widespread ignorance at the companies on how information ownership in the cloud is regulated between the company and the cloud provider. All companies expressed that they had not experienced any change in ownership when they placed their data in the cloud, and they expressed no major concerns about how the ownership was handled.

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.

With the introduction of IFRS, the IASB left the previously used method of amortization and instead introduced fair value. Studies show that firms manipulate the value of goodwill based on agency related incentives and opportunities, such as bonus payment, management tenure and acquisition of firms. The responsibility of checking the quality of financial reports, and give other market participants reasons to trust them, is primarily on accountants. The transition to fair value thus creates a problem for accountants to actually check the fair values produces by firms. Our purpose is to investigate whether the working method of accountants is purposeful in order to maintain the credibility of goodwill values.

This thesis aims at investigating the two municipality?s Gislaved and Ljungby. Where the aim is to see if there is any connections, between the type and the degree of public-private partnerships, and the municipalities obtained environment performance. In this essay the starting point is that the environmental performance in the chosen municipalities is good.Interviews among local politicians and representatives for the municipalities plastic industries, has functioned as a way to test the hypothesis. Gislaved and Ljungby have thereafter been compared, in order to see if there is any similarity in the sort and the degree of public-private partnerships, and how that will affect the environmental performance. The overall questions in this essay are:How can the cooperation among the chosen municipalities and the      local business life be described? What kind of Public-private partnership      exists in the selected municipalities?Is there any difference between the municipalities, referring to      the degree of cooperation between the municipalities and the local      business life? Does the degree of cooperation affect the progress on the environmental      performance? The end result shows that the local business life doesn?t have any impact on the environmental performance.

Entrepreneurship is considered essential for the Swedish economy, as well as globally. Accordingly,massive efforts are put into creating environments that successfully can support new ventures. The business incubator is a prominent part of these efforts and is important especially for the knowledge shared within its internal network. The aim of this study is to further explore how different activitieswithin the incubator can influence the interaction, and thereby the construction of social capital,among the incubatees. Using a qualitative case study of three incubators, and the framework of theincubator model, it is concluded that three distinguishing components within the framework influence the interaction, namely infrastructure, mediation and business support.

The thesis is about exploring possibilities for developing a standardised system solution for micro businesses, this since most of the micro business lack proper system solutions, a contributing factor of this is price and also incompatibility between the solution and the business itself. The system solutions we will refer to are solutions which task is to cover the most important needs that a micro business might have on their system. The main goal with this research is to see if this is possible, and if so, how the developers should think to take it further. We chose to do this by identifying the most significant of needs a micro business has when it comes to this type of system solution.In this thesis we will present three needs which were evaluated and brought forth through the analyses of various interviews and observations we had done during the study. The interviews took place at respective company with their employees and consisted both closed and open questions with our main focus on the open questions because we wanted to obtain as much information from the respondents as possible from several viewpoints.

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.