Sökning: "Operator Strategies"

Visar resultat 6 - 10 av 85 uppsatser innehållade orden Operator Strategies.

  1. 6. Artificial Intelligence: From Data to Insights : Artificial Intelligence in Digital Transformation Strategies in the Semiconductor Industry

    Master-uppsats, Linnéuniversitetet/Institutionen för management (MAN)

    Författare :Mikael Bergh; Sophie Strugholz; [2023]
    Nyckelord :Innovative technologies; Artificial intelligence; Digital transformation; Software-as-a-Service; Absorptive capacity; Environmental scanning; Knowledge management;

    Sammanfattning : Emerging technologies are reshaping the digital landscape and competitive environment of highly technological companies with the introduction of artificial intelligence (AI). Firms are reacting by implementing digital transformation (DT) strategies aligning the organizational and technological factors towards leveraging AI-generated information. LÄS MER

  3. 7. Improving Machinery Safety : Modelling data to explain machine stops and developing a strategy on how to reduce them

    Uppsats för yrkesexamina på avancerad nivå, Umeå universitet/Institutionen för matematik och matematisk statistik

    Författare :Kristina Leijonborg; Sandra Hammarsten; [2023]
    Nyckelord :;

    Sammanfattning : The purpose of this thesis is to examine how machinery safety at Stora Enso can be increased, with the goal of reducing the amount of machine stops and improving the operational safety within the Packaging Solutions division. To do this, data from the one of the machines at the Jönköping mill has been used for classification and time series modelling. LÄS MER

  4. 8. Holistic embedding of equivalent conicity in wheelset maintenance

    Master-uppsats, KTH/Väg- och spårfordon samt konceptuell fordonsdesign

    Författare :Philipp Linzbichler; [2023]
    Nyckelord :Railway Operation; Equivalent Conicity; Wheelset Maintenance; Smart Maintenance; Data Analysis; Järnvägsdrift; Ekvivalent Konicitet; Hjulset Underhåll; Smart Underhåll; Dataanalys;

    Sammanfattning : With continuing digitization of railways an increasing number of data is recorded but particularly in operation advanced analysis tends to be partially rudimentary. Yet, it is essential to implement sophisticated processing for all records in order to develop more purposeful and predictive vehicle maintenance strategies that adhere to the increasing requirements imposed by the homologation. LÄS MER

  5. 9. Förlustanalys av Elnätdistribution i Eskilstuna : En noggrann undersökning av elförluster och dess konsekvenser i ett område i Eskilstuna

    Uppsats för yrkesexamina på grundnivå, Mälardalens universitet/Akademin för ekonomi, samhälle och teknik

    Författare :Omid Hosseani; Touma George; [2023]
    Nyckelord :Transmission losses; Distribution losses; Line losses; Power losses; Energy losses; Joule losses; I2R losses; Electrical losses; Technical losses; Non-technical losses; T D losses Transmission and Distribution losses .; Effektförluster; Energiförluster; Jouleförluster; I2R förluster; Elektriska förluster; Tekniska förluster; Icke-tekniska förluster; T D förluster Transmission och distributionsförluster ;

    Sammanfattning : This thesis explores the losses occurring in a specific region located in the southern part of Eskilstuna, where ESEM serves as the network owner. The study places particular emphasis on power factor and load factor as key factors. Its objective is to analyze and comprehend the extent of losses in the network and their implications. LÄS MER

  7. 10. Anomaly detection for prediction of failures in manufacturing environments : Machine learning based semi-supervised anomaly detection for multivariate time series to predict failures in a CNC-machine

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

    Författare :Felix Boltshauser; [2023]
    Nyckelord :Machine learning; Anomaly Detection; DeepAnT; ROCKET; OCSVM; manufacturing; predictive maintenance; Maskin inlärning; Anomali Detektion; DeepAnT; ROCKET; OCSVM; tillverkning; prediktivt underhåll;

    Sammanfattning : For manufacturing enterprises, the potential of collecting large amounts of data from production processes has enabled the usage of machine learning for prediction-based monitoring and maintenance of machines. Yet common maintenance strategies still include reactive handling of machine failures or schedule-based maintenance conducted by experienced personnel. LÄS MER