Sökning: "logistic efficiency"

Visar resultat 1 - 5 av 130 uppsatser innehållade orden logistic efficiency.

  1. 1. Testing the Adaptive Market Hypothesis on the Swedish Stock Market - Empirical evidence between 1990-2019

    Kandidat-uppsats,

    Författare :Jacob Allestam; Filip Sjöberg; [2023-06-29]
    Nyckelord :Adaptive market hypothesis; market efficiency; market conditions; return predictability; trading strategy;

    Sammanfattning : This study examines if the adaptive market hypothesis holds for the Swedish stock market between 1990 and 2019. We use Affärsvärldens Generalindex and test for time-varying return predictability by implementing a variance ratio test and an autocorrelation test. To track how market efficiency evolves over time we use a two-year moving subsample. LÄS MER

  3. 2. MetaStackVis: Visually-Assisted Performance Evaluation of Metamodels in Stacking Ensemble Learning

    Kandidat-uppsats, Linnéuniversitetet/Institutionen för datavetenskap och medieteknik (DM)

    Författare :Ilya Ploshchik; [2023]
    Nyckelord :Visualization; interaction; metamodels; validation metrics; predicted probabilities; stacking; stacked generalization; ensemble learning; machine learning;

    Sammanfattning : Stacking, also known as stacked generalization, is a method of ensemble learning where multiple base models are trained on the same dataset, and their predictions are used as input for one or more metamodels in an extra layer. This technique can lead to improved performance compared to single layer ensembles, but often requires a time-consuming trial-and-error process. LÄS MER

  4. 3. Just in Time och Samlastning : Logistiska strategier för ökad effektivitet, minskade kostnader och förbättrad responsivitet

    Kandidat-uppsats, Malmö universitet/Institutionen för Urbana Studier (US)

    Författare :Hanna Abed; Edim Obradovac; [2023]
    Nyckelord :just in time; pooling; logistic strategies;

    Sammanfattning : Abstract The purpose of this study is to deepen the knowledge and understanding of the strategies “just in time” and “freight pooling” in logistics management in the food industry. In order to answer the purpose, we had two different research questions. LÄS MER

  5. 4. Performance Benchmarking and Cost Analysis of Machine Learning Techniques : An Investigation into Traditional and State-Of-The-Art Models in Business Operations

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

    Författare :Jacob Lundgren; Sam Taheri; [2023]
    Nyckelord :Artificial Intelligence AI ; Machine Learning; Big Data; Natural Language Processing NLP ; Pre-Trained BERT; Fine-Tuned BERT; TF-IDF; Logistic Regression; Support Vector Machine SVM ; Cloud GPU; Operating Costs; Performance Efficiency; Business Intelligence;

    Sammanfattning : Eftersom samhället blir allt mer datadrivet revolutionerar användningen av AI och maskininlärning sättet företag fungerar och utvecklas på. Denna studie utforskar användningen av AI, Big Data och Natural Language Processing (NLP) för att förbättra affärsverksamhet och intelligens i företag. LÄS MER

  7. 5. Kartläggning och förbättring av internt logistikflöde

    Uppsats för yrkesexamina på grundnivå, Linnéuniversitetet/Institutionen för maskinteknik (MT)

    Författare :Jenan Alhasan; Dat Nguyen; [2023]
    Nyckelord :Materialflöde; kartläggning; intern logistik; lean-produktion; värdeflödesanalys; spagettidiagram;

    Sammanfattning : Globalisation has led to increased competition among companies, operating both locally and internationally. As a result, it has become crucial to stand out on the market by working cost-effectively, meeting customer requirements, offering short delivery times, smart material planning, among other things. LÄS MER