Optimization Design Of Slicing Machine Using Design Of Manufacturing And Assembly (DFMA) Method.
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DFA is the design of the product for ease of assembly (Boothroyd, 1994). It is an analysis method that brings together multidisciplinary teams to evaluate and validate product
The aim of this study is to classify sentiment of movie reviews from Twitter data using Support Vector Machine with Particle Swarm Optimization (SVM-PSO).. The expected result is
In this project, analysis and optimization of the current design of fire fighting machine is make using Computer-Aided Engineering (CAE) software.. The main focus of the
So, DFMA (Design for Manufacture and Assembly) method was used to make the comparison and to decide whether to reduce the part of a product components that is to cut
In this paper, we focus on implementing feature selection algorithms especially Genetic Algorithm (GA) and Particle Swarm Optimization (PSO) to find the most important
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Layout, Topology, and Size Optimization of Steel Frame Design using Metaheuristic Algorithms: A Comparative Study Prayogo, D.1*, Santoso, H.1, Budiman, F.1, and Jason, M.1