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Optimisation of robotic disassembly for remanufacturing

Record Type:	Electronic resources : Monograph/item
Title/Author:	Optimisation of robotic disassembly for remanufacturingby Yuanjun Laili ... [et al.].
other author:	Laili, Yuanjun.
Published:	Cham :Springer International Publishing :2022.
Description:	xx, 183 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Robots, Industrial.
Online resource:	https://doi.org/10.1007/978-3-030-81799-2
ISBN:	9783030817992$q(electronic bk.)

Optimisation of robotic disassembly for remanufacturing
Optimisation of robotic disassembly for remanufacturing[electronic resource] /by Yuanjun Laili ... [et al.]. - Cham :Springer International Publishing :2022. - xx, 183 p. :ill. (some col.), digital ;24 cm. - Springer series in advanced manufacturing,2196-1735. - Springer series in advanced manufacturing..

A Brief Introduction on Remanufacturing -- Robotic Disassembly for Remanufacturing -- The Product Representation for Disassembly Sequence Generation -- Component and Subassembly Detection -- Modeling of Robotic Disassembly Sequence Planning -- Modeling of Robotic Disassembly Line Balancing -- Evolutionary Optimization for Robotic Disassembly -- Solutions of Robotic Disassembly Sequence Planning with Backup Actions -- Solutions of Robotic Disassembly Sequence Re-planning -- Solutions of Robotic Disassembly Line Balancing -- Solutions of Mixed Model Disassembly Line Balancing with Multi-Robotic Workstations.

This book illustrates the main characteristics, challenges and optimisation requirements of robotic disassembly. It provides a comprehensive insight on two crucial optimisation problems in the areas of robotic disassembly through a group of unified mathematical models. The online and offline optimisation of the operational sequence to dismantle a product, for example, is represented with a list of conflicting objectives and constraints. It allows the decision maker and the robots to match the situation automatically and efficiently. To identify a generic solution under different circumstances, classical metaheuristics that can be used for the optimisation of robotic disassembly are introduced in detail. A flexible framework is then presented to implement existing metaheuristics for sequence planning and line balancing in the circumstance of robotic disassembly. Optimisation of Robotic Disassembly for Remanufacturing provides practical case studies on typical product instances to help practitioners design efficient robotic disassembly with minimal manual operation, and offers comparisons of the state-of-the-art metaheuristics on solving the key optimisation problems. Therefore, it will be of interest to engineers, researchers, and postgraduate students in the area of remanufacturing.

ISBN: 9783030817992$q(electronic bk.)

Standard No.: 10.1007/978-3-030-81799-2doiSubjects--Topical Terms:

267734
Robots, Industrial.

LC Class. No.: TS191.8

Dewey Class. No.: 670.4272

Optimisation of robotic disassembly for remanufacturing
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245 0 0 $a Optimisation of robotic disassembly for remanufacturing $h [electronic resource] / $c by Yuanjun Laili ... [et al.].
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2022.
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490 1 $a Springer series in advanced manufacturing, $x 2196-1735
505 0 $a A Brief Introduction on Remanufacturing -- Robotic Disassembly for Remanufacturing -- The Product Representation for Disassembly Sequence Generation -- Component and Subassembly Detection -- Modeling of Robotic Disassembly Sequence Planning -- Modeling of Robotic Disassembly Line Balancing -- Evolutionary Optimization for Robotic Disassembly -- Solutions of Robotic Disassembly Sequence Planning with Backup Actions -- Solutions of Robotic Disassembly Sequence Re-planning -- Solutions of Robotic Disassembly Line Balancing -- Solutions of Mixed Model Disassembly Line Balancing with Multi-Robotic Workstations.
520 $a This book illustrates the main characteristics, challenges and optimisation requirements of robotic disassembly. It provides a comprehensive insight on two crucial optimisation problems in the areas of robotic disassembly through a group of unified mathematical models. The online and offline optimisation of the operational sequence to dismantle a product, for example, is represented with a list of conflicting objectives and constraints. It allows the decision maker and the robots to match the situation automatically and efficiently. To identify a generic solution under different circumstances, classical metaheuristics that can be used for the optimisation of robotic disassembly are introduced in detail. A flexible framework is then presented to implement existing metaheuristics for sequence planning and line balancing in the circumstance of robotic disassembly. Optimisation of Robotic Disassembly for Remanufacturing provides practical case studies on typical product instances to help practitioners design efficient robotic disassembly with minimal manual operation, and offers comparisons of the state-of-the-art metaheuristics on solving the key optimisation problems. Therefore, it will be of interest to engineers, researchers, and postgraduate students in the area of remanufacturing.
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650 2 4 $a Industrial and Production Engineering. $3 273753
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