Essays about: "design structure matrix"

Showing result 1 - 5 of 49 essays containing the words design structure matrix.

1. 1. Complexity Analysis and Structural Optimization for Architecture Models of Mechatronic Systems

   University essay from KTH/Skolan för industriell teknik och management (ITM)

   Author : Yuanyang Zhang; [2023]
   Keywords : Mechatronic System Design; Architecture Model; DSM; Structural Complexity; Partitioning Optimization Design; Mekatronisk Systemdesign; Arkitektur Modell; DSM; Strukturell Komplexitet; Partitionering Optimering Design;

   Abstract : The design and development of mechatronic system are becoming an increasingly complex task due to the numerous disciplines involved, rapidly increasing scales, and the integration issues of different domains and technologies. The structural complexity of the architecture model design decides the quality of system design in many aspects: the scalability of the system design; usage of allocated resources which influences the computational overhead, etc. READ MORE

3. 2. Develop a Process for the Selection of New Continuous Improvement Projects : A case study of the prioritization of Lean Six-Sigmain the quality management team in an assembly industry through the AHP method

   University essay from Mälardalens universitet/Akademin för innovation, design och teknik

   Author : Roopa Attibele Prakash; Adeleh Edalati; [2023]
   Keywords : CI Projects; MCDM methods; AHP; FMEA; Project Prioritization;

   Abstract : The research focuses on the selection and prioritization of Continuous Improvement (CI)projects in organizations. This study emphasizes the importance of recognizing appropriatecriteria for selecting projects that align with an organization's needs, skills, and goals. READ MORE

4. 3. Development of a material handlingsystem for a high high-pressure processingmachinemachine: A study of conceptual solutions

   University essay from Mälardalens universitet/Akademin för innovation, design och teknik

   Author : Maximilian Belin; Elvira Sjöström; [2023]
   Keywords : Material handling system; High-pressure processing; Automation; Design; Multi criteria decision making.;

   Abstract : When developing a material handling system (MHS) it is crucial to master the various aspects for each developing step to increase the efficiency of the MHS. This Master’s thesis is aimed to identify conceptual solutions of a MHS and analyse the advantages and challenges for each of the developed concepts. READ MORE

5. 4. Multi-Scale Topology Optimization of Lattice Structures Using Machine Learning

   University essay from Uppsala universitet/Tillämpad mekanik

   Author : Julia Ibstedt; [2023]
   Keywords : Topology optimization; Multi-scale topology optimization; Machine learning; Gaussian process; Homogenization; Inverse homogenization; Anisotropic materials; Symmetry groups; Material property space; Topologioptimering; Flerskalig topologioptimering; Maskininlärning; Gaussian process; Homogenisering; Anisotropa material; Symmetrigrupper; Materialegenskapsrymd;

   Abstract : This thesis explores using multi-scale topology optimization (TO) by utilizing inverse homogenization to automate the adjustment of each unit-cell's geometry and placement in a lattice structure within a pressure vessel (the design domain) to achieve desired structural properties. The aim is to find the optimal material distribution within the design domain as well as desired material properties at each discretized element and use machine learning (ML) to map microstructures with corresponding prescribed effective properties. READ MORE

6. 5. Register Caching for Energy Efficient GPGPU Tensor Core Computing

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Qiran Qian; [2023]
   Keywords : Computer Architecture; GPGPU; Tensor Core; GEMM; Energy Efficiency; Register File; Cache; Instruction Scheduling; Datorarkitektur; GPGPU; Tensor Core; GEMM; energieffektivitet; registerfil; cache; instruktionsschemaläggning;

   Abstract : The General-Purpose GPU (GPGPU) has emerged as the predominant computing device for extensive parallel workloads in the fields of Artificial Intelligence (AI) and Scientific Computing, primarily owing to its adoption of the Single Instruction Multiple Thread architecture, which not only provides a wealth of thread context but also effectively hide the latencies exposed in the single threads executions. As computational demands have evolved, modern GPGPUs have incorporated specialized matrix engines, e. READ MORE