Solutions for robotic disassembly line balancing

Yuanjun Laili; Yongjing Wang; Yilin Fang; Duc Truong Pham

doi:10.1007/978-3-030-81799-2_10

Solutions for robotic disassembly line balancing

Yuanjun Laili, Yongjing Wang, Yilin Fang, Duc Truong Pham

Mechanical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Chapter

Abstract

This chapter demonstrates the use of the model proposed in Chapter 6 and presents the solution of the robotic disassembly line balancing problem (DLBP) for benchmark cases using different optimisation algorithms. The best algorithms for large-scale multi-objective disassembly line balancing problems are shown to be NSGA-III and IBEA.

Original language	English
Title of host publication	Optimisation of Robotic Disassembly for Remanufacturing
Publisher	Springer
Pages	143-151
Number of pages	9
Edition	1
ISBN (Electronic)	9783030817992
ISBN (Print)	9783030817985, 9783030818012
DOIs	https://doi.org/10.1007/978-3-030-81799-2_10
Publication status	Published - 18 Aug 2021

Publication series

Name	Springer Series in Advanced Manufacturing
Publisher	Springer
ISSN (Print)	1860-5168
ISSN (Electronic)	2196-1735

Access to Document

10.1007/978-3-030-81799-2_10

1 Book

Optimisation of Robotic Disassembly for Remanufacturing
Laili, Y., Wang, Y. W., Fang, Y. & Pham, D., 18 Aug 2021, 1 ed. Springer. 183 p. (Springer Series in Advanced Manufacturing )
Research output: Book/Report › Book

Cite this

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AB - This chapter demonstrates the use of the model proposed in Chapter 6 and presents the solution of the robotic disassembly line balancing problem (DLBP) for benchmark cases using different optimisation algorithms. The best algorithms for large-scale multi-objective disassembly line balancing problems are shown to be NSGA-III and IBEA.

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M3 - Chapter

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Solutions for robotic disassembly line balancing

Abstract

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Research output

Optimisation of Robotic Disassembly for Remanufacturing

Cite this