Search Results - (( manufacturing implementation system algorithm ) OR ( java application learning algorithm ))
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Manufacturing process planning optimisation in reconfigurable multiple parts flow lines
Published 2008“…The case study is based on the manufacturing system. Raw materials enter the system through an input stage and exit the system through an output stage. …”
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Process Planning Optimization In Reconfigurable Manufacturing Systems
Published 2008“…On the other hand, the superior performance of the genetic algorithm that implements an extended diversity control mechanism demonstrates that more competent genetic algorithms can be designed through customized operators. …”
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Inter-cell and intra-cell facility layout models under different demand environments in cellular manufacturing systems
Published 2012“…In a volatile manufacturing system, implementation of a CMS might not be applicable. …”
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Optimization-based simulation algorithm for predictive-reactive job-shop scheduling of reconfigurable manufacturing systems
Published 2022“…Simulation experiments were run using different parameters to analyze the performance of the proposed algorithm with the system. The results showed that the proposed optimizationbased algorithm had successfully reduce the throughput time of the system. …”
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A Collision Detection Algorithm For Virtual Robot-Centered Flexible Manufacturing Cell
Published 2008“…To verify the collision detection algorithm, it is tested with different positions and heights of the storage system during simulation of the virtual flexible manufacturing cell. …”
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An optimization approach for predictive-reactive job shop scheduling of reconfigurable manufacturing systems
Published 2022“…The results showed that the proposed optimization-based algorithm had successfully reduced the throughput time of the system. …”
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An Educational Tool Aimed at Learning Metaheuristics
Published 2020“…In this paper, we introduce an education tool for learning metaheuristic algorithms that allows displaying the convergence speed of the corresponding metaheuristic upon setting/changing the dependable parameters. …”
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A Feature Ranking Algorithm in Pragmatic Quality Factor Model for Software Quality Assessment
Published 2013“…The methodology used consists of theoretical study, design of formal framework on intelligent software quality, identification of Feature Ranking Technique (FRT), construction and evaluation of FRA algorithm. The assessment of quality attributes has been improved using FRA algorithm enriched with a formula to calculate the priority of attributes and followed by learning adaptation through Java Library for Multi Label Learning (MULAN) application. …”
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Industry 4.0 With Intelligent Manufacturing 5G Mobile Robot Based On Genetic Algorithm
Published 2021“…A manufacturing fifth-generation (5G) mobile robot is a new development of industry 4.0 application, deploying an unmanned system. …”
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Predictive-reactive job shop scheduling for flexible production systems with the combination of optimization and simulation based algorithm
Published 2020“…The schedule obtained will be implemented to the real-world system which is adapted by the reactive part of the system. …”
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Dynamic scheduling in a multi-product manufacturing system
Published 2005“…One of the methods to increase competitiveness in manufacturing is by implementing proper scheduling system. …”
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Adoption of machine learning algorithm for analysing supporters and non supporters feedback on political posts / Ogunfolajin Maruff Tunde
Published 2022“…This thesis is based on the application of sentiment classification algorithm to tweet data with the goal of classifying messages based on the polarity of sentiment towards a particular topic (or subject matter). …”
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Location accuracy improvement in bluetooth low energy based indoor positioning system for remote asset monitoring / Dasmond Roy Philips
Published 2024“…Commonly, location accuracy within an asset tracking system is often compromised due to many factors. This research project mainly aims to improve location accuracy of the asset tracking system through implementation of machine learning algorithms and parameters tuning. …”
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