Search for dissertations about: "virtuella"

Showing result 1 - 5 of 74 swedish dissertations containing the word virtuella.

  1. 1. A Novel Method for Adaptive Control of Manufacturing Equipment in Cloud Environments

    University dissertation from United Kingdom : De Montfort University

    Author : Göran Adamson; Högskolan i Skövde.; Högskolan i Skövde.; [2018]
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Function Block; Adaptive control; Robot-Control-as-a-Service; Cloud Manufacturing; Production and Automation Engineering; Produktion och automatiseringsteknik;

    Abstract : The ability to adaptively control manufacturing equipment, both in local and distributed environments, is becoming increasingly more important for many manufacturing companies.One important reason for this is that manufacturing companies are facing increasing levels of changes, variations and uncertainty, caused by both internal and external factors, which can negatively impact their performance. READ MORE

  2. 2. Metamodel Based Multi-Objective Optimization with Finite-Element Applications

    University dissertation from Högskolan i Skövde

    Author : Kaveh Amouzgar; Högskolan i Skövde.; Högskolan i Skövde.; [2018]
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Production and Automation Engineering; Produktion och automatiseringsteknik;

    Abstract : As a result of the increase in accessibility of computational resources and the increase of computer power during the last two decades, designers are able to create computer models to simulate the behavior of complex products. To address global competitiveness, companies are forced to optimize the design of their products and production processes. READ MORE

  3. 3. A bilevel approach to parameter tuning of optimization algorithms using evolutionary computing : Understanding optimization algorithms through optimization

    University dissertation from Skövde : University of Skövde

    Author : Martin Andersson; Högskolan i Skövde.; Högskolan i Skövde.; [2018]
    Keywords : SAMHÄLLSVETENSKAP; SOCIAL SCIENCES; Production and Automation Engineering; Produktion och automatiseringsteknik;

    Abstract : Most optimization problems found in the real world cannot be solved using analytical methods. For these types of difficult optimization problems, an alternative approach is needed. READ MORE

  4. 4. Analysis of manufacturing supply chains using system dynamics and multi-objective optimization

    University dissertation from Skövde : University of Skövde

    Author : Tehseen Aslam; Högskolan i Skövde.; Högskolan i Skövde.; [2013]
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; Supply Chain Management; System Dynamics; Multi-Objective Optimization; Technology; Teknik;

    Abstract : Supply chains are in general complex networks composed of autonomous entities whereby multiple performance measures in different levels, which in most cases are in conflict with each other, have to be taken into account. Hence, due to the multiple performance measures, supply chain decision making is much more complex than treating it as a single objective optimization problem. READ MORE

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

    University dissertation from Skövde : University of Skövde

    Author : Jacob Bernedixen; Högskolan i Skövde.; Högskolan i Skövde.; [2018]
    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