A Hybrid Fuzzy Model for Lean Product Development Performance Measurement

In the effort for manufacturing companies to meet up with the emerging consumer demands for mass customized products, many are turning to the application of lean in their product development process, and this is gradually moving from being a competitive advantage to a necessity. However, due to lack...

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Main Authors:	Aikhuele, Daniel Osezua, Faiz, Mohd Turan
Format:	Article
Language:	English
Published:	IOP Publishing 2016
Subjects:	TS Manufactures
Online Access:	http://umpir.ump.edu.my/id/eprint/12726/ http://umpir.ump.edu.my/id/eprint/12726/ http://umpir.ump.edu.my/id/eprint/12726/ http://umpir.ump.edu.my/id/eprint/12726/1/fkp-2016-faiz-Hybrid%20Fuzzy%20Model%20for%20Lean%20Product.pdf

id	oai:umpir.ump.edu.my:12726
recordtype	eprints
spelling	oai:umpir.ump.edu.my:127262018-02-22T07:42:29Z http://umpir.ump.edu.my/id/eprint/12726/ A Hybrid Fuzzy Model for Lean Product Development Performance Measurement Aikhuele, Daniel Osezua Faiz, Mohd Turan TS Manufactures In the effort for manufacturing companies to meet up with the emerging consumer demands for mass customized products, many are turning to the application of lean in their product development process, and this is gradually moving from being a competitive advantage to a necessity. However, due to lack of clear understanding of the lean performance measurements, many of these companies are unable to implement and fully integrated the lean principle into their product development process. Extensive literature shows that only few studies have focus systematically on the lean product development performance (LPDP) evaluation. In order to fill this gap, the study therefore proposed a novel hybrid model based on Fuzzy Reasoning Approach (FRA), and the extension of Fuzzy-AHP and Fuzzy-TOPSIS methods for the assessment of the LPDP. Unlike the existing methods, the model considers the importance weight of each of the decision makers (Experts) since the performance criteria/attributes are required to be rated, and these experts have different level of expertise. The rating is done using a new fuzzy Likert rating scale (membership-scale) which is designed such that it can address problems resulting from information lost/distortion due to closed-form scaling and the ordinal nature of the existing Likert scale. IOP Publishing 2016 Article PeerReviewed application/pdf en cc_by http://umpir.ump.edu.my/id/eprint/12726/1/fkp-2016-faiz-Hybrid%20Fuzzy%20Model%20for%20Lean%20Product.pdf Aikhuele, Daniel Osezua and Faiz, Mohd Turan (2016) A Hybrid Fuzzy Model for Lean Product Development Performance Measurement. IOP Conference Series: Materials Science and Engineering, 114 (1). 012048. ISSN 1757-8981 (Print), 1757-899X (Online) http://dx.doi.org/10.1088/1757-899X/114/1/012048 DOI: 10.1088/1757-899X/114/1/012048
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English
topic	TS Manufactures
spellingShingle	TS Manufactures Aikhuele, Daniel Osezua Faiz, Mohd Turan A Hybrid Fuzzy Model for Lean Product Development Performance Measurement
description	In the effort for manufacturing companies to meet up with the emerging consumer demands for mass customized products, many are turning to the application of lean in their product development process, and this is gradually moving from being a competitive advantage to a necessity. However, due to lack of clear understanding of the lean performance measurements, many of these companies are unable to implement and fully integrated the lean principle into their product development process. Extensive literature shows that only few studies have focus systematically on the lean product development performance (LPDP) evaluation. In order to fill this gap, the study therefore proposed a novel hybrid model based on Fuzzy Reasoning Approach (FRA), and the extension of Fuzzy-AHP and Fuzzy-TOPSIS methods for the assessment of the LPDP. Unlike the existing methods, the model considers the importance weight of each of the decision makers (Experts) since the performance criteria/attributes are required to be rated, and these experts have different level of expertise. The rating is done using a new fuzzy Likert rating scale (membership-scale) which is designed such that it can address problems resulting from information lost/distortion due to closed-form scaling and the ordinal nature of the existing Likert scale.
format	Article
author	Aikhuele, Daniel Osezua Faiz, Mohd Turan
author_facet	Aikhuele, Daniel Osezua Faiz, Mohd Turan
author_sort	Aikhuele, Daniel Osezua
title	A Hybrid Fuzzy Model for Lean Product Development Performance Measurement
title_short	A Hybrid Fuzzy Model for Lean Product Development Performance Measurement
title_full	A Hybrid Fuzzy Model for Lean Product Development Performance Measurement
title_fullStr	A Hybrid Fuzzy Model for Lean Product Development Performance Measurement
title_full_unstemmed	A Hybrid Fuzzy Model for Lean Product Development Performance Measurement
title_sort	hybrid fuzzy model for lean product development performance measurement
publisher	IOP Publishing
publishDate	2016
url	http://umpir.ump.edu.my/id/eprint/12726/ http://umpir.ump.edu.my/id/eprint/12726/ http://umpir.ump.edu.my/id/eprint/12726/ http://umpir.ump.edu.my/id/eprint/12726/1/fkp-2016-faiz-Hybrid%20Fuzzy%20Model%20for%20Lean%20Product.pdf
first_indexed	2018-09-07T01:40:49Z
last_indexed	2018-09-07T01:40:49Z
_version_	1610911002912620544

A Hybrid Fuzzy Model for Lean Product Development Performance Measurement

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