| dc.creator |
AYDEMİR, Erdal |
|
| dc.creator |
Koyuncu, Cansu Altan |
|
| dc.creator |
BAŞARIR, ALİ CEM |
|
| dc.date |
2021-04-01T00:00:00Z |
|
| dc.date.accessioned |
2021-12-03T12:02:32Z |
|
| dc.date.available |
2021-12-03T12:02:32Z |
|
| dc.identifier |
c8a2b29d-9343-4cbe-b13f-ccc740817167 |
|
| dc.identifier |
10.1007/s00500-021-05807-0 |
|
| dc.identifier |
https://avesis.sdu.edu.tr/publication/details/c8a2b29d-9343-4cbe-b13f-ccc740817167/oai |
|
| dc.identifier.uri |
http://acikerisim.sdu.edu.tr/xmlui/handle/123456789/94835 |
|
| dc.description |
Maturity models help organizations identify the processes of transformation and needs by analyzing the current situation of production systems. Within the scope of Industry 4.0, in this study, several maturity models are used. Five maturity models that are mostly applied are reviewed to determine the maturity model that a manufacturing company would assess by considering Industry 4.0. Seven properties of the models are compared and analyzed with the fuzzy TOPSIS (FTOPSIS) and intuitionistic fuzzy TOPSIS (IFTOPSIS) methods. Industry 4.0 maturity models, the number of dimensions, the number of maturity level, release date, content, the definition of measurement properties, assessment expenditures, and the assessment method are determined by the three decision makers according to the evaluation. As a result, the Impuls readiness maturity model is found to be the most suitable model in FTOPSIS and IFTOPSIS methods for a solar cell manufacturing company. |
|
| dc.language |
eng |
|
| dc.rights |
info:eu-repo/semantics/closedAccess |
|
| dc.title |
Selection Industry 4.0 maturity model using fuzzy and intuitionistic fuzzy TOPSIS methods for a solar cell manufacturing company |
|
| dc.type |
info:eu-repo/semantics/article |
|