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Effective Integrated Business Planning (IBP) is essential for aligning strategic goals and resources across an organization, especially in today's volatile and complex market environment. This master's thesis evaluates the implementation of Anaplan, an Advanced Planning System (APS), within the IBP framework of Oatly, exploring both benefits gained and encountered challenges. By employing
A network of functionalist buildings and stadiums was originally designed for the 1940 Olympic games in Helsinki. Among these structures was the Rowing Stadium, which hosted the kayaking competition in 1952 after the games were postponed due to World War II. (Malmberg et al., 2017) Today, this once-vibrant building stands empty and has been prohibited to use since the end of 2021 due to significan
This thesis aims to evaluate which aspects are important when generating synthetic data with the purpose of running on a lightweight object detection model on an edge device. The task we constructed was to detect Canisters and whether they feature a protective valve called a Cap or not (called a No-Cap). The problem was split into three separate classes in order to evaluate objects with varying si
This thesis describes the development process of a digital tool that can be used by locksmiths to quickly and easily find the right components for repairing and replacing electronic locking mechanisms. The tool took the form of a mobile application and was developed in collaboration with Robust Ellåsning AB in Malmö, Sweden. The report describes an iterative, human-centered design process, from da
This thesis will be an investigation into different proofs of Completeness in first-order logic. Particular attention will be put on analyzing the role of the Ultrafilter Lemma and its necessity in proving the Completeness Theorem. An attempt will be made to develop a proof that separates out this non-constructive aspect, but still uses the law of excluded middle. The overall aim is to understand
A reliable forward prediction of time series data is essential for optimising resource allocation, mitigating risks, and enhancing strategic decision-making across various domains. However, the limited historical data available can pose a challenge for accurate modelling. Conversely, transformer architectures, renowned for their success in natural language tasks through zero-shot inference, demons
In this project, I investigate the combination of Natural Language Processing (NLP) with Item Response Theory (IRT) to advance the assessment and scoring of open response items. Traditional psychometric assessments are grounded in well-defined quality standards, yet assessments based on natural language have missed meeting these standards. To address this gap, I integrate NLP processed open respon
Monte Carlo simulation is a numerical method that can simulate complex physical systems and is widely used in the field of medical optics. For example, the Monte Carlo method was used to evaluate the effectiveness of near-infrared spectroscopy (NIRS) in the detection of intracranial hematoma (ICH). However, due to the relatively complex brain structure, the current simulation model is relatively s
Spatial transcriptomics, a powerful technique that merges sequencing and spatial data, offers unprecedented resolution for studying gene expression within tissues. This study focuses on developing a pipeline to design probes for Multiplexed Error-Robust Fluorescence In Situ Hybridisation (MERFISH) experiments to investigate the spatial distribution of the lung microbiome. Metagenomic data analysis
Att skapa en cirkulär ekonomi med hållbara produkter är en nödvändighet för dagens samhälle, särskilt kopplat till de klimatutmaningarna som vi har idag från bland annat överkonsumtion och dålig hantering vid slutet av produkternas livslängd. Projektet fokuserar på att ta fram en produkt som gjorts på återvunna material och att utmana tidigare materialbegränsningar. Detta har gjorts med en betonin
Most electricity in Lebanon is produced by burning fossil fuels, which produces more than one half of domestic greenhouse gas emissions, and the state-owned electricity companies are unable to meet the demand. To increase the country’s generation capacity and simultaneously combat the effects of climate change, the government aims to produce 30% of its electricity from renewables by 2030. It is ho
In 2020, the German government introduced a legislation to phase-out coal mining and combustion by 2038. Expert reports state that this is too late for Germany to meet its obligations from the Paris Agreement. For many people in Lusatia, one of the three coal mining areas in Germany, even the 2038 coal-exit is happening too fast. They fear for their economic and personal future in the coal-mining
A Jacobian free multigrid preconditioner for linear problems arising from Implicit Discontinuous Galerkin (DG) discretizations is implemented. The preconditioner is based on a multigrid method for a low order Finite volume (FV) discretization on a subcellgrid. L2-projections are introduced as a strategy to translate between the discretizations. Numerical tests on advection dominated linear advecti
Momentum or trend following investing refers to trading strategies constructed around the idea that in financial markets, the current trend will, more often then not, prevail. In the context of asset prices, this means that previous returns or the price development of an asset is indicative of similar future returns and price development. While at odds with established theory such as the weaker fo
One fifth of the energy consumed by buildings in Sweden is by those built before 1945, many of them constructed from solid masonry walls. Improving their heating energy consumption is a challenge we must face in light of human’s impact on climate change as well as increasing energy costs. Improving thermal performance can be achieved with many insulating materials however the environmental impact
Interdisciplinary teams are considered to be of great importance for addressing complex problems of the present and future, as they are able to address the complexity of society’s most pressing issues such as climate change, or healthcare solutions. They can be found in multiple areas concerned with future- related problems. Research on specific fields such as healthcare and social work suggests t
Interdisciplinary teams are considered to be of great importance for addressing complex problems of the present and future, as they are able to address the complexity of society’s most pressing issues such as climate change, or healthcare solutions. They can be found in multiple areas concerned with future- related problems. Research on specific fields such as healthcare and social work suggests t
This thesis examines how female-targeting fintech firms can internationalize in ways that genuinely promote financial inclusion for women. Conducted as an exploratory interview study with Female Invest, it builds on the broader observation that gender remains largely absent from fintech’s outlook. The study addresses two key research gaps. First, financial inclusion efforts often overlook how cult
