Theseus - Selaus asiasanan mukaan "forecasts"
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A comparative analysis of machine learning techniques and key insights for cardiovascular disease prediction
(2024)Heart disease, or cardiovascular disease (CVD) is a prevalent and deadly condition globally. The purpose of this thesis was to develop and evaluate a robust system applying classification-based machine learning methods to ... -
A Plan to Improve the Ordering Strategies as a Step to Improve Inventory Management in Unit X
(2024)The objective of the thesis was to optimize the case organization´s inventory system with the focus on improving its Ordering strategies. The business challenge related to poor ordering strategies, which involved insufficient ... -
A Plan to Improve the Ordering Strategies as a Step to Improve Inventory Management in Unit X
(2024)The objective of the thesis was to optimize the case organization´s inventory system with the focus on improving its Ordering strategies. The business challenge related to poor ordering strategies, which involved insufficient ... -
Achieving lean production through im-proved RFID technology and the use of GM11 predictive models
(2024)At present, China's freight volume in some goods is large, which is a challenge to the logistics industry practi-tioners. Some companies are starting to use RFID and electronic tags in their packaging departments. These ... -
Airline Revenue Management - How to improve forecast accuracy in an unstable operating environment?
(2024)Revenue Management plays a key role in any airline’s financial success. As the industry has low profit margins, maximising revenue and profits is critical. During recent years the airline industry has suffered from many ...Rajoitettu käyttöoikeus / Restricted access / Tillgången begränsad -
An Analytics Process for Forecasting Expected Credit Losses for the Lifetime of Loans : auto loan portfolios
(2024)The main goal of this study is to conduct a thorough assessment of expected credit risk losses from loan origination throughout the lifetime of loans by utilizing an integrated methodology that combines domain knowledge ... -
An evaluation of budgeting practices: A case study of Company X
(2024)This bachelor’s thesis evaluates the budgeting and forecasting practices of Company X, a subsidiary organisation. Therefore, it is a case study of a single organisation within the car leasing industry. Budgeting is considered ...Rajoitettu käyttöoikeus / Restricted access / Tillgången begränsad -
Application of Machine Learning Techniques to Predict Price Trends during Bitcoin Halving Cycles
(2024)The rapid expansion and volatility of the cryptocurrency market has rendered Bitcoin an important investment asset. The Bitcoin halving event has had a significant impact on the market price, creating new challenges and ... -
Automatization of the maritime transport versus job availability
(2020)The shipping industry is one of the main employers globally. Wide use of the unmanned autonomous vessels in the future will change this role of the maritime transport. The study applies scenario analysis at company level ... -
Car sales analysis in the Nordic Countries
(2023)Sales forecasting is an essential component of business intelligence and, artificial intelligence and predictive analytics are now essential tools for companies to predict market trends and forecast sales volumes. In ... -
Comparative Analysis of Statistical and Machine Learning Models for Solar Energy Production Forecasting and Model Selection.
(2024)Efficient energy forecasting methods have become the focal point to ensure sustainable energy production. The present study aimed to use cutting-edge machine learning models along with blended statistical models to precisely ... -
Data-Driven Predictive Maintenance Strategies for Light Rail Vehicles : Applying Machine Learning and IoT Technologies to Enhance Operational Efficiency and Reliability
(2024)The evolution of electric transportation as a pivotal solution to climate change has seen significant growth in the past decades. The shift towards battery-powered public transit systems, notably the investment in electric ... -
Demand Forecasting of an Industrial Item: A Methodology Study
(2019)The demand forecasting process plays an essential role in any business organization. It leads to smaller inventory costs, better planning of resources and, in general, minimized costs and maximized customer service level. ... -
Demand, demand forecasting, and supply : case company X
(2024)The fundamental purpose of the thesis is to find a suitable demand forecasting technique for the case company. The goal is to collect, analyze, and present data that helps an organization make decisive tactical decisions ... -
Developing Statistical Demand Forecast Data Sampling Method in Manufacturing Industry
(2024)This thesis aimed at developing forecasting data management and data sampling to improve quality of the demand forecast in factory production. The thesis topic arose from the need for better forecast accuracy in order to ... -
Developing the S&OP process and its forecastability, Case: Product chain LPG
(2024)Tämän päivän globaalit ja kompleksiset toimitusketjut kohtaavat nopeasti muuttuvan toimintaympäristön seurauksena jatkuvasti vastainkäymisiä, jotka haastavat toimitusketjujen sujuvaa hallintaa ja ensisijaista tavoitetta ... -
Diabetes Mellitus Prediction with Classification Algorithms Using Weka
(2024)Early diabetes identification is crucial for controlling chronic illnesses. This study uses WEKA to compare the performance of four classification algorithms (Multilayer Perceptron, Logistic Regression, Random Forest, and ... -
Dynamic EBITDA forecasting using ERP & CRM data : a case of combining various data sources to increase forecasting accuracy
(2024)For a company operating in a highly competitive market, it is essential to maintain a clear understanding of its financial performance and make informed decisions to stay ahead of its competitors. Accurately forecasting ... -
Early identification of anomalies from user experience data
(2020)Detecting anomalies in time series data is a critical task in areas such as cloud health monitoring. This Thesis proposes a proof of concept for forecasting and detecting anomalies in time series data. The proposed approach ... -
Enabling Growth through Improved Forecasting and Collaboration
(2023)The purpose of this Master’s thesis was to study if improved forecasting and collaboration activities could support the Case Company’s performance during times of growth. The thesis focused on a specific part called “panel” ...Rajattu käyttöoikeus / Restricted access / Tillgången är begränsad
















