Sökning: "demand forecasting"

Visar resultat 21 - 25 av 219 uppsatser innehållade orden demand forecasting.

  1. 21. Forecasting Codeword Errors in Networks with Machine Learning

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

    Författare :Angus Hansson Svan; [2023]
    Nyckelord :Forecasting; Codeword Errors; Hybrid Fiber-Coaxial; Long Short-Term Memory; Multilayer Perceptron; Hybridfiber-koaxialt nätverk; HFC; LSTM; MLP;

    Sammanfattning : With an increasing demand for rapid high-capacity internet, the telecommunication industry is constantly driven to explore and develop new technologies to ensure stable and reliable networks. To provide a competitive internet service in this growing market, proactive detection and prevention of disturbances are key elements for an operator. LÄS MER

  3. 22. Machine Learning Based Stock Price Prediction by Integrating ARIMA model and Sentiment Analysis with Insights from News and Information

    Kandidat-uppsats, Blekinge Tekniska Högskola/Institutionen för datavetenskap

    Författare :Teja Sai Vaibhav Boppana; Joseph Sudheer Vinakonda; [2023]
    Nyckelord :Machine Learning; Market Trends; News; Headlines Stock Price Prediction; VADER.;

    Sammanfattning : Background: Predicting stock prices in today’s complex financial landscape is asignificant challenge. An innovative approach to address this challenge is integrating sentiment analysis techniques with the well-established Autoregressive IntegratedMoving Average (ARIMA) model. LÄS MER

  4. 23. Development of an Improved Demand Planning Process - A Case Study at KåKå

    Master-uppsats, Lunds universitet/Teknisk logistik

    Författare :Emma Hall; Clara Kronberg; [2023]
    Nyckelord :Sales Operations Planning; Demand Planning; Forecasting; Product Categorization; Non-manufacturing; Bakery Industry; Technology and Engineering;

    Sammanfattning : Background: Operations planning and control has undergone an extensive shift from an individual company focus to a complete supply chain focus which has required a new common approach for supply chain planning and control to evolve. Increasing competition and globalization has created complexity in supply chain planning and integration since it requires a new cross-functional approach. LÄS MER

  5. 24. Time Series Analysis and Binary Classification in a Car-Sharing Service : Application of data-driven methods for analysing trends, seasonality, residuals and prediction of user demand

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

    Författare :Aksel Uhr; [2023]
    Nyckelord :Smart mobility; Car-sharing; Time series analysis; Demand prediction; Machine learning; Supervised learning; Binary classification; Random forest; Smart mobilitet; Bildelning; Tidsseriaanalys; Efterfrågansprediktering; Maskininlärning; Väglett lärande; Binär klassificering; Slumpmässiga skogar;

    Sammanfattning : Researchers have estimated a 20-percentage point increase in the world’s population residing in urban areas between 2011 and 2050. The increase in denser cities results in opportunities and challenges. Two of the challenges concern sustainability and mobility. LÄS MER

  7. 25. Inventory management: A high-level analysis of selected process elements, and factors impacting plan performance - A case study at Alfa Laval

    Master-uppsats, Lunds universitet/Teknisk logistik

    Författare :Danielle Schiro; Lucas Librelotto Rubin; [2023]
    Nyckelord :Inventory Management; Make-to-Order; Forecasting; Collaboration; Strategic Alignment; KPIs; Organizational Structures; Alfa Laval; Technology and Engineering;

    Sammanfattning : Purpose: The purpose of this thesis is to increase the effectiveness of the case company, Alfa Laval’s, inventory management by finding challenges, opportunities, and gaps within its current inventory management practices. Background: An essential part of an organization’s planning and control is inventory management, which helps manage supply and demand uncertainty as well as mismatches in upstream and downstream variables, as small changes in inventory management practices can greatly impact an organization's efficiency and responsiveness. LÄS MER