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Titlebook: Intelligent Scheduling of Robotic Flexible Assembly Cells; Khalid Karam Abd Book 2016 Springer International Publishing Switzerland 2016 M

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发表于 2025-3-21 17:15:50 | 显示全部楼层 |阅读模式
书目名称Intelligent Scheduling of Robotic Flexible Assembly Cells
编辑Khalid Karam Abd
视频videohttp://file.papertrans.cn/470/469951/469951.mp4
概述Nominated as an outstanding PhD thesis by University of South Australia, Adelaide, Australia.Reports on a new methodology for scheduling robotic flexible assembly cells.Offers a comprehensive literatu
丛书名称Springer Theses
图书封面Titlebook: Intelligent Scheduling of Robotic Flexible Assembly Cells;  Khalid Karam Abd Book 2016 Springer International Publishing Switzerland 2016 M
描述.This book focuses on the design of Robotic Flexible Assembly Cell (RFAC) with multi-robots. Its main contribution consists of a new effective strategy for scheduling RFAC in a multi-product assembly environment, in which dynamic status and multi-objective optimization problems occur. The developed strategy, which is based on a combination of advanced solution approaches such as simulation, fuzzy logic, system modeling and the Taguchi optimization method, fills an important knowledge gap in the current literature and paves the way for future research towards the goal of employing flexible assembly systems as effectively as possible despite the complexity of their scheduling..
出版日期Book 2016
关键词Multi-robot Assembly Cell; Multi-product Assembly Cell; Multi-objective Optimization; Dynamic Schedulin
版次1
doihttps://doi.org/10.1007/978-3-319-26296-3
isbn_softcover978-3-319-38736-9
isbn_ebook978-3-319-26296-3Series ISSN 2190-5053 Series E-ISSN 2190-5061
issn_series 2190-5053
copyrightSpringer International Publishing Switzerland 2016
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发表于 2025-3-21 23:05:56 | 显示全部楼层
Khalid Karam Abdlvation of solutes in applications of RTILs as reaction media. Broadband dielectric spectroscopy (DS) can readily cover any dynamics ranging from seconds to femtoseconds and is thus a widely applied technique to elucidate RTIL dynamics. As DS probes all dynamics that go along with a change in the ma
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Development of an Intelligent Methodology for Scheduling RFAC, years. Due to the complexity of these systems, the generation of production schedules requires an intelligent technique. Many artificial intelligence techniques such as fuzzy logic (FL), genetic algorithms (GA) and neural networks (NN) have been successfully applied to the scheduling of advanced ma
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Case Study 1: Application of the Developed Methodology Using Fuzzy Logic and Simulation,atical model with simulation modelling. In this chapter, the proposed methodology will be examined using a realistic case study to prove the effectiveness of the methodology in generating the schedule for assembling multi-products.
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Simulation Modelling and Analysis of Dynamic Scheduling in RFAC,nging and unavailability of tools or materials. These events may lead to deviations from the schedule plan. Hence, the influential events must be taken into consideration when dealing with real-world scheduling problems (Rajabinasab and Mansour .; Ouelhadj and Petrovic .). The scheduling research wo
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Background and Research Scope, manufacturing systems. The issue of flexibility in manufacturing systems is not new and has attracted significant attention by researchers since the development of flexible manufacturing systems (FMS) four decades ago.
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Case Study 2: Application of Hybrid Fuzzy MCDM Approach to Optimize Dynamic Scheduling in RFAC,ulti-objective optimisation of dynamic scheduling in RFAC using a new Fuzzy Multi-Criteria Decision-Making (Fuzzy MCDM) approach. The proposed approach will be examined, verified and validated in this chapter, using a realistic case study.
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