Development of intelligent evaluation system for product end-of-life selection strategy

As the world population increases exponentially, the number of products purchased and consumed is also increasing. The rapid pace of technological changes renders some products obsolete even though they are still new and in excellent condition. Consequently, the supply of natural resources decreases...

Full description

Bibliographic Details
Main Author:	Zakri, Ghazalli
Format:	Thesis
Language:	English
Published:	2011
Subjects:	TJ Mechanical engineering and machinery
Online Access:	http://umpir.ump.edu.my/id/eprint/7737/ http://umpir.ump.edu.my/id/eprint/7737/ http://umpir.ump.edu.my/id/eprint/7737/1/ZAKRI_BIN_GHAZALLI.PDF

id	ump-7737
recordtype	eprints
spelling	ump-77372019-06-20T03:22:44Z http://umpir.ump.edu.my/id/eprint/7737/ Development of intelligent evaluation system for product end-of-life selection strategy Zakri, Ghazalli TJ Mechanical engineering and machinery As the world population increases exponentially, the number of products purchased and consumed is also increasing. The rapid pace of technological changes renders some products obsolete even though they are still new and in excellent condition. Consequently, the supply of natural resources decreases severely. Additionally, the amount of waste generated at the end-of-life of products has become a serious problem in most countries. In response, manufacturers have to seek other essential resources to provide materials for manufacturing their products. This generates a strong demand for secondary resources such as refurbished parts and recycled materials. This problem can be best resolved by promoting end-of-life (EOL) selection strategies. The main objective of this research is to develop an evaluation system for selecting EOL strategy specifically for remanufacturing. The developed framework consists of several sub-objectives. The first sub-objective is to evaluate the remanufacturing selection strategy at the product level. In order to achieve this, the integration of analytic hierarchical process (AHP) and case-based reasoning (CBR) is used to evaluate the EOL options at the product level. The AHP, which allows pair-wise comparison and consistent judgement, is used to determine the weight in nearest neighbourhood (NN) algorithm of CBR. The second subobjective is to evaluate the EOL of parts and components. The integration of the economic and environmental cost (EOL cost) model is used to determine the EOL of parts and components. The third sub-objective is to optimize the disassembly sequence of the EOL product. This study integrates the travelling salesman problem with genetic algorithm (TSP-GA) for finding the optimal disassembly sequence and disassembling the EOL product. Additionally, this study uses EOL profits and net present value (NPV) of parts and subassemblies of the EOL product to determine the best EOL option of components and parts of the EOL product. 2011-09 Thesis NonPeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/7737/1/ZAKRI_BIN_GHAZALLI.PDF Zakri, Ghazalli (2011) Development of intelligent evaluation system for product end-of-life selection strategy. PhD thesis, Japan , Okayama University. http://iportal.ump.edu.my/lib/item?id=chamo:77877&theme=UMP2
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English
topic	TJ Mechanical engineering and machinery
spellingShingle	TJ Mechanical engineering and machinery Zakri, Ghazalli Development of intelligent evaluation system for product end-of-life selection strategy
description	As the world population increases exponentially, the number of products purchased and consumed is also increasing. The rapid pace of technological changes renders some products obsolete even though they are still new and in excellent condition. Consequently, the supply of natural resources decreases severely. Additionally, the amount of waste generated at the end-of-life of products has become a serious problem in most countries. In response, manufacturers have to seek other essential resources to provide materials for manufacturing their products. This generates a strong demand for secondary resources such as refurbished parts and recycled materials. This problem can be best resolved by promoting end-of-life (EOL) selection strategies. The main objective of this research is to develop an evaluation system for selecting EOL strategy specifically for remanufacturing. The developed framework consists of several sub-objectives. The first sub-objective is to evaluate the remanufacturing selection strategy at the product level. In order to achieve this, the integration of analytic hierarchical process (AHP) and case-based reasoning (CBR) is used to evaluate the EOL options at the product level. The AHP, which allows pair-wise comparison and consistent judgement, is used to determine the weight in nearest neighbourhood (NN) algorithm of CBR. The second subobjective is to evaluate the EOL of parts and components. The integration of the economic and environmental cost (EOL cost) model is used to determine the EOL of parts and components. The third sub-objective is to optimize the disassembly sequence of the EOL product. This study integrates the travelling salesman problem with genetic algorithm (TSP-GA) for finding the optimal disassembly sequence and disassembling the EOL product. Additionally, this study uses EOL profits and net present value (NPV) of parts and subassemblies of the EOL product to determine the best EOL option of components and parts of the EOL product.
format	Thesis
author	Zakri, Ghazalli
author_facet	Zakri, Ghazalli
author_sort	Zakri, Ghazalli
title	Development of intelligent evaluation system for product end-of-life selection strategy
title_short	Development of intelligent evaluation system for product end-of-life selection strategy
title_full	Development of intelligent evaluation system for product end-of-life selection strategy
title_fullStr	Development of intelligent evaluation system for product end-of-life selection strategy
title_full_unstemmed	Development of intelligent evaluation system for product end-of-life selection strategy
title_sort	development of intelligent evaluation system for product end-of-life selection strategy
publishDate	2011
url	http://umpir.ump.edu.my/id/eprint/7737/ http://umpir.ump.edu.my/id/eprint/7737/ http://umpir.ump.edu.my/id/eprint/7737/1/ZAKRI_BIN_GHAZALLI.PDF
first_indexed	2023-09-18T22:04:40Z
last_indexed	2023-09-18T22:04:40Z
_version_	1777414627824500736

Development of intelligent evaluation system for product end-of-life selection strategy

Similar Items