Development of a lean maturity assessment model using interval-valued spherical fuzzy AHP method
Continuously adding value to a company's products and services is inevitable in adapting to this evolving and challenging global market. That is why lean philosophy is becoming increasingly important and popular among companies, and they are relying more and more on it. It not only assists in i...
Saved in:
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Ayandegan Institute of Higher Education,
2024-03-01
|
| Series: | International Journal of Research in Industrial Engineering |
| Subjects: | |
| Online Access: | https://www.riejournal.com/article_186168_c999fe702919fbd90413f45966dec88b.pdf |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1832577743769829376 |
|---|---|
| author | Alper Kiraz Asiye Yücedag Gürel |
| author_facet | Alper Kiraz Asiye Yücedag Gürel |
| author_sort | Alper Kiraz |
| collection | DOAJ |
| description | Continuously adding value to a company's products and services is inevitable in adapting to this evolving and challenging global market. That is why lean philosophy is becoming increasingly important and popular among companies, and they are relying more and more on it. It not only assists in increasing profitability and quality by eliminating all processes that provide no value to the customer but also enables increased flexibility in production and productivity. In this study, the criteria affecting the Lean Maturity Level (LML) were determined, and a lean maturity measurement model, which helps companies define and understand the level of lean maturity and lean effectiveness, was developed. A recently completed case study included data from an online survey with 116 questions, which were conducted on 187 middle to senior-level professionals in Türkiye from different industries. In this model, 9 main and 14 sub-lean criteria were generated to determine LML , and each criterion was weighted based on the assessments of experts. In this paper, the interval-valued spherical fuzzy AHP method is applied for the very first time to the weighting of the criteria of a lean maturity assessment model. After collecting data through an online survey study, Confirmatory Factor Analysis (CFA) in the IBM SPSS AMOS V26 program was applied to test the model fit, validity, and reliability. To determine the LMLs, the leveling scale (understanding, implementation, improvement, and sustainability) was used from the model for LMLs in manufacturing cells. As a result of the analysis of the survey results obtained from the participating companies, the overall LML was calculated as 2.55 out of 4. This result corresponds to the level 3 - improvement range on the leveling scale. The lean maturity success rate of surveyed companies was set at 64%. |
| format | Article |
| id | doaj-art-65ee89aff50a4b6d8c31bc8c3e47bdb7 |
| institution | Kabale University |
| issn | 2783-1337 2717-2937 |
| language | English |
| publishDate | 2024-03-01 |
| publisher | Ayandegan Institute of Higher Education, |
| record_format | Article |
| series | International Journal of Research in Industrial Engineering |
| spelling | doaj-art-65ee89aff50a4b6d8c31bc8c3e47bdb72025-01-30T15:10:08ZengAyandegan Institute of Higher Education,International Journal of Research in Industrial Engineering2783-13372717-29372024-03-01131254710.22105/riej.2023.424690.1403186168Development of a lean maturity assessment model using interval-valued spherical fuzzy AHP methodAlper Kiraz0Asiye Yücedag Gürel1Department of Industrial Engineering, Sakarya University, Sakarya, Türkiye.Department of Industrial Engineering, Sakarya University, Sakarya, Türkiye.Continuously adding value to a company's products and services is inevitable in adapting to this evolving and challenging global market. That is why lean philosophy is becoming increasingly important and popular among companies, and they are relying more and more on it. It not only assists in increasing profitability and quality by eliminating all processes that provide no value to the customer but also enables increased flexibility in production and productivity. In this study, the criteria affecting the Lean Maturity Level (LML) were determined, and a lean maturity measurement model, which helps companies define and understand the level of lean maturity and lean effectiveness, was developed. A recently completed case study included data from an online survey with 116 questions, which were conducted on 187 middle to senior-level professionals in Türkiye from different industries. In this model, 9 main and 14 sub-lean criteria were generated to determine LML , and each criterion was weighted based on the assessments of experts. In this paper, the interval-valued spherical fuzzy AHP method is applied for the very first time to the weighting of the criteria of a lean maturity assessment model. After collecting data through an online survey study, Confirmatory Factor Analysis (CFA) in the IBM SPSS AMOS V26 program was applied to test the model fit, validity, and reliability. To determine the LMLs, the leveling scale (understanding, implementation, improvement, and sustainability) was used from the model for LMLs in manufacturing cells. As a result of the analysis of the survey results obtained from the participating companies, the overall LML was calculated as 2.55 out of 4. This result corresponds to the level 3 - improvement range on the leveling scale. The lean maturity success rate of surveyed companies was set at 64%.https://www.riejournal.com/article_186168_c999fe702919fbd90413f45966dec88b.pdflean manufacturinglean maturity assessment modelinterval-valued spherical fuzzy analytic hierarchy processconfirmatory factor analysis |
| spellingShingle | Alper Kiraz Asiye Yücedag Gürel Development of a lean maturity assessment model using interval-valued spherical fuzzy AHP method International Journal of Research in Industrial Engineering lean manufacturing lean maturity assessment model interval-valued spherical fuzzy analytic hierarchy process confirmatory factor analysis |
| title | Development of a lean maturity assessment model using interval-valued spherical fuzzy AHP method |
| title_full | Development of a lean maturity assessment model using interval-valued spherical fuzzy AHP method |
| title_fullStr | Development of a lean maturity assessment model using interval-valued spherical fuzzy AHP method |
| title_full_unstemmed | Development of a lean maturity assessment model using interval-valued spherical fuzzy AHP method |
| title_short | Development of a lean maturity assessment model using interval-valued spherical fuzzy AHP method |
| title_sort | development of a lean maturity assessment model using interval valued spherical fuzzy ahp method |
| topic | lean manufacturing lean maturity assessment model interval-valued spherical fuzzy analytic hierarchy process confirmatory factor analysis |
| url | https://www.riejournal.com/article_186168_c999fe702919fbd90413f45966dec88b.pdf |
| work_keys_str_mv | AT alperkiraz developmentofaleanmaturityassessmentmodelusingintervalvaluedsphericalfuzzyahpmethod AT asiyeyucedaggurel developmentofaleanmaturityassessmentmodelusingintervalvaluedsphericalfuzzyahpmethod |