Search for dissertations about: "bottleneck identification"

Showing result 1 - 5 of 14 swedish dissertations containing the words bottleneck identification.

  2. 1. Automated Bottleneck Analysis of Production Systems : Increasing the applicability of simulation-based multi-objective optimization for bottleneck analysis within industry

    Author : Jacob Bernedixen; Amos H. C. Ng; Anna Syberfeldt; Kalyanmoy Deb; Leif Pehrsson; Magnus Wiktorsson; Högskolan i Skövde; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NATURVETENSKAP; NATURAL SCIENCES; bottleneck analysis; bottleneck identification; bottleneck improvement; multi-objective optimization; simulation; Production and Automation Engineering; Produktion och automatiseringsteknik;

    Abstract : Manufacturing companies constantly need to explore new management strategies and new methods to increase the efficiency of their production systems and retain their competitiveness. It is of paramount importance to develop new bottleneck analysis methods that can identify the factors that impede the overall performance of their productionsystems so that the optimal improvement actions can be performed. READ MORE

  4. 2. Offline and Online Models for Learning Pairwise Relations in Data

    Author : Fazeleh Sadat Hoseini; Chalmers tekniska högskola; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; Mulit-Armed Bandit; Pairwise Relations; Performance Modeling; Motion Trajectory Clustering; Minimax Distance; Bottleneck Identification; Online Learning; Representation Learning; Memory Efficiency; Concurrent Programming; Thompson Sampling;

    Abstract : Pairwise relations between data points are essential for numerous machine learning algorithms. Many representation learning methods consider pairwise relations to identify the latent features and patterns in the data. This thesis, investigates learning of pairwise relations from two different perspectives: offline learning and online learning. READ MORE

  5. 3. Compression-based Data Identification and Representation Learning

    Author : Hanwei Wu; Markus Flierl; Mikael Skoglund; Conci Nicola; KTH; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Electrical Engineering; Elektro- och systemteknik;

    Abstract : Large-scale data generation, acquisition, and processing are happening at everymoment in our society. This thesis explores the opportunities for applying lossycompression methods and concepts for improving information engineering techniquesthat transform a large amount of collected data into useful applications. READ MORE

  6. 4. Performance problem diagnosis in cloud infrastructures

    Author : Olumuyiwa Ibidunmoye; Erik Elmroth; Guilliano Casale; Viktoria Fodor; Henrik Björklund; Umeå universitet; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Systems Performance; Performance anomalies; Performance bottlenecks; Cloud infrastructures; Cloud Computing; Cloud Services; Cloud Computing Performance; Performance problems; Performance anomaly detection; Performance bottleneck identification; Performance Root-cause Analysis; Computer Systems; datorteknik; Computer Science; datalogi;

    Abstract : Cloud datacenters comprise hundreds or thousands of disparate application services, each having stringent performance and availability requirements, sharing a finite set of heterogeneous hardware and software resources. The implication of such complex environment is that the occurrence of performance problems, such as slow application response and unplanned downtimes, has become a norm rather than exception resulting in decreased revenue, damaged reputation, and huge human-effort in diagnosis. READ MORE

  7. 5. Data-driven throughput bottleneck analysis in production systems

    Author : Mukund Subramaniyan; Chalmers tekniska högskola; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; maintenance; machine learning; data-driven; manufacturing; manufacturing system; production system; artificial intelligence; Throughput bottlenecks;

    Abstract : Production systems and production management are getting smart. Manufacturing companies are increasingly adopting digital solutions to monitor and manage production systems. By adopting digital solutions, it has become possible for manufacturing companies to collect huge volumes of widely varying production system data. READ MORE