Sökning: "Demand Forecasting"
Visar resultat 1 - 5 av 219 uppsatser innehållade orden Demand Forecasting.
1. Identifying the Underlying Factors Causing the Changes in the European Container Shipping Market in the Post-COVID-19 Era
Master-uppsats, Göteborgs universitet/Graduate SchoolSammanfattning : The COVID-19 pandemic has disrupted global supply chains and container shipping markets in several ways, leading to changes in demand, supply, and price. Therefore, identifying and understanding the underlying factors that have contributed to these changes is crucial for stakeholders in the industry and policymakers seeking to mitigate the negative effects of the pandemic on global trade, particularly in Europe. LÄS MER
2. Demand Forecasting of Automobile Spare Parts after the End-of-Production - A review of demand forecasting models
Master-uppsats, Göteborgs universitet/Graduate SchoolSammanfattning : 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. Prognostisering av framtida materialbehov i ERP-system : En fallstudie på Wexiödisk AB
Uppsats för yrkesexamina på grundnivå, Linnéuniversitetet/Institutionen för maskinteknik (MT)Sammanfattning : Utvecklingen av teknologin i dagens industrier förändras snabbt och för att bibehålla verksamhetens konkurrenskraft är det viktigt att förstå kundernas behov. Prognostisering är förväntat framtida behov baserad på historisk data. LÄS MER
4. Forecasting With Feature-Based Time Series Clustering
Master-uppsats, Jönköping University/Tekniska HögskolanSammanfattning : Time series prediction plays a pivotal role in various areas, including for example finance, weather forecasting, and traffic analysis. In this study, time series of historical sales data from a packaging manufacturer is used to investigate the effects that clustering such data has on forecasting performance. LÄS MER
5. Restaurant Daily Revenue Prediction : Utilizing Synthetic Time Series Data for Improved Model Performance
Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Avdelningen för beräkningsvetenskapSammanfattning : 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