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Visar resultat 1 - 5 av 196 uppsatser som matchar ovanstående sökkriterier.

1. 1. Demand Forecasting of Automobile Spare Parts after the End-of-Production - A review of demand forecasting models

   Master-uppsats, Göteborgs universitet/Graduate School

   Författare :Abid Ali; Arosha Ratnayake; [2023-07-03]
   Nyckelord :Demand forecasting; Spare parts; Automobile; End-of-Production EOP ; PRISMA; AHP; MCDM;

   Sammanfattning : Demand forecasting of spare parts plays a crucial role in automobile industry where it generally requires a significant attention in controlling inventory. It is possible to maintain an optimal stock level when there is a continues supply at the Original Equipment Manufacturers (OEMs). LÄS MER

3. 2. Sales forecasting for supply chain using Artificial Intelligence

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Vaibhav Mittal; [2023]
   Nyckelord :AI; sales forecasting; supply chain; predictive analytics; AI; försäljningsprognoser; supply chain; predictiv analys;

   Sammanfattning : Supply chain management and logistics are two sectors currently experiencing a transformation thanks to the advent of AI(Artificial Intelligence) technologies. Leveraging predictive analytics powered by AI presents businesses with novel opportunities to streamline their operations effectively. LÄS MER

4. 3. Restaurant Daily Revenue Prediction : Utilizing Synthetic Time Series Data for Improved Model Performance

   Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Avdelningen för beräkningsvetenskap

   Författare :Stella Jarlöv; Anton Svensson Dahl; [2023]
   Nyckelord :demand forecasting; data augmentation; time series data; machine learning; restaurant industry; generative adversarial networks; TimeGAN; XGBoost;

   Sammanfattning : This study aims to enhance the accuracy of a demand forecasting model, XGBoost, by incorporating synthetic multivariate restaurant time series data during the training process. The research addresses the limited availability of training data by generating synthetic data using TimeGAN, a generative adversarial deep neural network tailored for time series data. LÄS MER

5. 4. Does the Level of Swedish Economic Policy Uncertainty Help Forecast Excess Returns on the Swedish Stock Market?

   Master-uppsats, Uppsala universitet/Företagsekonomiska institutionen

   Författare :Gustav Jacobsson; Oscar Klersell; [2023]
   Nyckelord :Economic Policy Uncertainty EPU ; Excess stock returns; Out-of-sample forecasting; Random walk; Sweden;

   Sammanfattning : This thesis examines whether the level of Swedish economic policy uncertainty (EPU) can predict excess returns on the Swedish stock market. We run out-of-sample forecasting using an EPU-based predictive model constructed with the official Swedish EPU index developed by Armelius et al. (2017). LÄS MER

7. 5. On modelling OMXS30 stocks - comparison between ARMA models and neural networks

   Master-uppsats, Uppsala universitet/Matematiska institutionen

   Författare :Irina Zarankina; [2023]
   Nyckelord :ARMA; ARIMA; LSTM; time series; statistics;

   Sammanfattning : This thesis compares the results of the performance of the statistical Autoregressive integrated moving average (ARIMA) model and the neural network Long short-term model (LSTM) on a data set, which represents a market index. Both models are used to predict monthly, daily, and minute close prices of the OMX Stockholm 30 Index. LÄS MER