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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| Format: | Article |
| Language: | English |
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IOP Publishing
2016
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| Online Access: | 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 |
| _version_ | 1848819302016221184 |
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| author | Aikhuele, Daniel Osezua Faiz, Mohd Turan |
| author_facet | Aikhuele, Daniel Osezua Faiz, Mohd Turan |
| author_sort | Aikhuele, Daniel Osezua |
| building | UMP Institutional Repository |
| collection | Online Access |
| 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. |
| first_indexed | 2025-11-15T01:51:23Z |
| format | Article |
| id | ump-12726 |
| institution | Universiti Malaysia Pahang |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T01:51:23Z |
| publishDate | 2016 |
| publisher | IOP Publishing |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | ump-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). (Published) http://dx.doi.org/10.1088/1757-899X/114/1/012048 DOI: 10.1088/1757-899X/114/1/012048 |
| spellingShingle | TS Manufactures Aikhuele, Daniel Osezua Faiz, Mohd Turan A Hybrid Fuzzy Model for Lean Product Development Performance Measurement |
| title | 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_short | A Hybrid Fuzzy Model for Lean Product Development Performance Measurement |
| title_sort | hybrid fuzzy model for lean product development performance measurement |
| topic | TS Manufactures |
| 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 |