Sökning: "Multi-Objective Optimization MOO"

Visar resultat 1 - 5 av 8 avhandlingar innehållade orden Multi-Objective Optimization MOO.

  1. 1. Simulation-based multi-objective optimization for reconfigurable manufacturing systems : Reconfigurability, manufacturing, simulation, optimization, RMS, multi-objective, knowledge discovery

    Författare :Carlos Alberto Barrera Diaz; Amos Ng; Tehseen Aslam; Amir Nourmohammadi; Thomas Ditlev Brunø; Högskolan i Skövde; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NATURVETENSKAP; NATURAL SCIENCES; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Virtual Production Development VPD ; Virtual Production Development VPD ; VF-KDO; VF-KDO;

    Sammanfattning : In today’s global and aggressive market system, for manufacturing companies to remain competitive, they must manufacture high-quality products that can be produced at a low cost; they also must respond efficiently to customers’ predictable and unpredictable needs and demand variations. Increasingly shortened product lifecycles, as well as product customization degrees, lead to swift changes in the market that need to be supported by capable and flexible resources able to produce faster and deliver to the market in shorter periods while maintaining a high degree of cost-efficiency. LÄS MER

  3. 2. Metaheuristic Algorithms for Spatial Multi-Objective Decision Making

    Författare :Olive Niyomubyeyi; Centrum för geografiska informationssystem (GIS-centrum); []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Geographic Information System GIS ; Multi-Objective Optimization MOO ; Spatial Decision Making; Metaheuristic Algorithms; Disaster management; Urban planning;

    Sammanfattning : Spatial decision making is an everyday activity, common to individuals and organizations. However, recently there is an increasing interest in the importance of spatial decision-making systems, as more decision-makers with concerns about sustainability, social, economic, environmental, land use planning, and transportation issues discover the benefits of geographical information. LÄS MER

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

    Författare :Tehseen Aslam; Amos H. C. Ng; Daniel Tesfamariam Semere; Högskolan i Skövde; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Supply Chain Management; System Dynamics; Multi-Objective Optimization; Technology; Teknik;

    Sammanfattning : 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. LÄS MER

  5. 4. Optimization Capabilities for Crushing Plants

    Författare :Kanishk Bhadani; Chalmers tekniska högskola; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Key Performance Indicators KPIs ; Crushing; Digital Twin; Modelling; Calibration; Multi-Disciplinary Optimization MDO ; Dynamic Simulations; Multi-Objective Optimization MOO ; Screening; Process Optimization; Process Improvement; Production Data;

    Sammanfattning : Responsible production and minimal consumption of resources are becoming competitive factors in the industry. The aggregates and minerals processing industries consist of multiple heavy mechanized industrial processes handling large volumes of materials and are energy-intensive. LÄS MER

  7. 5. Optimization Framework for Crushing Plants

    Författare :Kanishk Bhadani; Chalmers tekniska högskola; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Minerals Processing; Industry 4.0; Multi-Objective Optimization MOO ; Screening; Process Optimization; Process Improvement; Modelling; Comminution; Key Performance Indicators KPIs ; Classification; Multi-Disciplinary Optimization MDO ; Crushing; Dynamic Simulations;

    Sammanfattning : Optimization is a decision-making process to utilize available resources efficiently. The use of optimization methods provide opportunities for continuous improvements, increasing competitiveness, trade-off analysis and as a support tool for the decision-making process in industrial applications. LÄS MER