Sökning: "forecast process"

Visar resultat 1 - 5 av 220 uppsatser innehållade orden forecast process.

  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. Staff Shortage on SJ Trains

    Kandidat-uppsats, KTH/Matematisk statistik

    Författare :Casper Öberg; Nora Moro; [2023]
    Nyckelord :Multiple linear regression; Residual analysis; Multicollinearity; Staff shortage; Forecast; Trains; Multipel linjär regression; Residualanalys; Multikollinearitet; Personalbrist; Prognos; Tåg;

    Sammanfattning : This thesis is a case study in collaboration with SJ AB, a government owned railway companyin Sweden. The employees aboard the trains are an essential part of operating thetrains efficiently. Therefore, it is vital to forecast absences well in order to avoid havingto cancel train trips or having employees work over time. 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. Battery storage implementation in Sweden and sizing software development

    Master-uppsats, KTH/Skolan för industriell teknik och management (ITM)

    Författare :Santiago Moreano Rojas; [2023]
    Nyckelord :;

    Sammanfattning : Due to the rampant growth of the penetration of renewables into the electrical grids across the world, more challenges appear in the way to assure the optimal operation of the energy system. More particularly, in the case of Sweden, the nuclear power decommissioning tendency and the 100% renewable energy target by 2040, set two strong additional motivations for the rise of issues regarding variability, uncertainty, stability, balancing and quality in the grid. LÄS MER

  7. 5. Can Machine Learning improve inflation forecasting?

    Magister-uppsats, Lunds universitet/Nationalekonomiska institutionen

    Författare :Emil Hansson; [2023]
    Nyckelord :Inflation Forecast; Machine Learning; Rolling Window; Time Series; Business and Economics;

    Sammanfattning : This paper aims to compare and evaluate the performance of inflation forecasting performance for benchmark time series models and machine learning models. The process is performed for both a developed economy, the US, and an emerging economy, Mexico. LÄS MER