Theseus - Selaus asiasanan mukaan "forecasts"
Viitteet 41-60 / 65
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Integration of Planning Processes : Linking Business Planning and Sales Forecasting in a Case Company
(2022)This thesis focused on improving the alignment between the strategic business plan and the operational sales forecast. Through proper alignment, a company can ensure the strategic plan is being linked to the execution. ... -
Kondratiev cycles as a method of forecasting global economic development.
(2022)The thesis focuses on a detailed investigation of the Kondratiev cycle theory to demonstrate its usefulness in comprehending and forecasting certain socioeconomic activities that may have an influence on the development ...Rajoitettu käyttöoikeus / Restricted access / Tillgången begränsad -
Machine Learning Applied in Demand Forecasting and Supply Planning
(2024)Effective demand forecasting and supply planning are crucial elements in supply chain management. Inaccurate demand information in the supply chain often leads to suboptimal decision-making, resulting in inventory imbalances ... -
Machine Learning for Efficacy Improvements in Automated Decision-Making in Financial Trading: using SigTech platform
(2022)Machine Learning (ML) for finance is a fruitful approach to detect patterns in data. However, when it comes to predicting financial markets based on financial data with a low signal-to-noise ratio, it has been shown to be ... -
Machine Learning for Small Data : A Comprehensive Study with the Case of Sovereign Debt Default Forecasting
(2024)This study explores the application of machine learning to forecast sovereign debt default likelihood. Challenges include a limited sample size of 8175 country-year observations across 180 countries from 1970 to 2019, high ...Rajoitettu käyttöoikeus / Restricted access / Tillgången begränsad -
Machine learning methods vs. traditional methods in forecasting loss reserves
(2021)The purpose and topic of the study is to investigate can machine learning methods provide better estimations of loss reserves compared to traditional chain-ladder method. The aim is to provide the commissioning organisation ... -
Net sales prediction : azure machine learning
(2024)This Master’s Thesis is a project-based thesis about Sales Prediction using Microsoft Azure Machine learning models for a telecommunication and technology company in Finland. The company has been following a semi-manual ... -
Pneumonia Detection and Diagnosis Formation in Chest X-ray Scans Using Localized Miniature Residual Convolution Neural Networks and GPT Integration
(2024)Chest radiography is one of the most preliminary forms of radiological investigation used globally. As such, it accounts for the gateway to detecting a plethora of pulmonary anomalies, the early diagnosis of which serves ... -
Predicting fine particulate matter levels in Finnish buildings
(2019)Fine particulate matter (PM 2.5 ) is considered one of the most harmful air pollutants. While a large proportion of the particles is originating from outdoor sources, people are mostly exposed while indoors. Predicting ... -
Predicting Mortality of Intensive Care Patients with Machine Learning Using Electronic Health Record and Non-Invasive Signals
(2021)This study proposes a novel approach for applying the Electronic Health Record (EHR) data and biomedical signals to predict patient mortality in the Intensive Care Unit (ICU) using machine learning and deep learning models. ... -
Predicting the Duration of User Stories, Machine learning for agile planning
(2020)Effective effort estimation in project planning is vital, because it helps organizations to build product plans which they can stick to, have shorter turn-around time and better cost discipline. In this thesis, a series ... -
Predicting the Performance of Football Teams in the Italian Serie A League Using Neural Networks and Machine Learning Methods through Historical Data Analysis
(2024)The aim of this thesis is designing several prediction models based on machine learning algorithms and neural networks methods to predict the performance of football teams, their final ranking and the champion of Serie A ... -
Predicting the status of flights using data analysis and machine learning
(2023)As the travel industry grows, so do the demanding aspects of air transport. The accuracy of flight status is critical to the travelling experience of passengers, the scheduling of airlines and the cost of airport operations. ... -
Prediction of outdoor thermal comfort changes and uncovering mitigation strategies based on machine learning algorithm : a decision support tool for climate-sensitive design : a case study of Glasgow, UK
(2022)Cities are becoming increasingly warm as a result of climate change and increasing population (Dimoudi et al., 2013). It forewarns severe weather and climate catastrophes happening considerably sooner than initially ... -
Predictive Modelling to Calculate the Need for Office Space
(2024)Remote work or hybrid work after the pandemic is the new default in people's workplaces and many have been making good home offices themselves. This is why increasingly many offices are empty most of the time. This kind ... -
Project forecasting in procurement
(2020)Tämän opinnäytetyön tavoitteena oli kehittää toimeksiantajayrityksen projektien ennustamista osto-osastolla. Tarkoituksena oli löytää tapoja, joilla projektien ennustettavuutta voitaisiin kehittää erityisesti oston ... -
Recommendations to Improve Spare Parts Forecasting for New Model
(2023)The objective of the thesis is to provide a final recommendation to improve the spare parts forecasting process for the new model of heavy off-highway equipment. The case company has been facing challenges in the availability ... -
Russian transit traffic in Finland - case transit traffic through the port of Kokkola
(2009)The transit traffic through Finland has grown rapidly together with the increase of the total Russian imports. The transit traffic through Finland started officially in 1970's. The year 2008 was record breaking by the ...Rajattu käyttöoikeus / Restricted access / Tillgången är begränsad -
Sales and Operation Planning - Optimizing and Scheduling production plans
(2018)Thesis presents the methods mainly used for Forecasting and Manufacturing plans. These methods were quantified and practically executed by many companies. Many organizations are now too focused and believe that Sales is ... -
Suitability Study of Sales & Operations Planning Process for a Growing Company
(2022)Tämän opinnäytetyön tarkoituksena oli tutkia ’sales and operations planning’ -prosessin sopivuutta kasvavalle yritykselle. Opinnäytetyön tavoitteena oli selvittää nykytila-analyysin avulla olisiko, ’S&OP’-prosessi sopiva ...
















