contributor author | J. R. Li | |
contributor author | S. B. Tor | |
contributor author | L. P. Khoo | |
contributor author | ASME Mem. | |
date accessioned | 2017-05-09T00:07:00Z | |
date available | 2017-05-09T00:07:00Z | |
date copyright | March, 2002 | |
date issued | 2002 | |
identifier issn | 1530-9827 | |
identifier other | JCISB6-25913#28_1.pdf | |
identifier uri | http://yetl.yabesh.ir/yetl/handle/yetl/126475 | |
description abstract | This paper describes a hybrid approach to handle disassembly sequence planning for maintenance. The product under maintenance is first modeled using a novel hybrid graph known as Disassembly Constraint Graph (DCG) which embodies complete disassembly information and can be used to prune the search space of disassembly sequences. Subsequently, a novel Tabu-enhanced GA engine is invoked to generate the near optimal disassembly sequences. A case study was used to illustrate the effectiveness of the proposed approach. The details of the DCG, the TS-enhanced GA engine and the fitness function used are presented in this paper. | |
publisher | The American Society of Mechanical Engineers (ASME) | |
title | A Hybrid Disassembly Sequence Planning Approach for Maintenance | |
type | Journal Paper | |
journal volume | 2 | |
journal issue | 1 | |
journal title | Journal of Computing and Information Science in Engineering | |
identifier doi | 10.1115/1.1481370 | |
journal fristpage | 28 | |
journal lastpage | 37 | |
identifier eissn | 1530-9827 | |
keywords | Maintenance | |
keywords | Surgery | |
keywords | Project tasks AND Optimization | |
tree | Journal of Computing and Information Science in Engineering:;2002:;volume( 002 ):;issue: 001 | |
contenttype | Fulltext | |