Industry 4.0 Readiness Calculation—Transitional Strategy Definition by Decision Support Systems
The digitization of the manufacturing industry, 10 years after the introduction of the Industry 4.0 concept, is still one of the most demanding tasks for the companies, especially for SMEs. As one of the biggest barriers in new business model implementation, the lack of strategy and workforce skills...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2022-02-01
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| Series: | Sensors |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1424-8220/22/3/1185 |
| _version_ | 1797484598802776064 |
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| author | Maja Trstenjak Tihomir Opetuk Hrvoje Cajner Miro Hegedić |
| author_facet | Maja Trstenjak Tihomir Opetuk Hrvoje Cajner Miro Hegedić |
| author_sort | Maja Trstenjak |
| collection | DOAJ |
| description | The digitization of the manufacturing industry, 10 years after the introduction of the Industry 4.0 concept, is still one of the most demanding tasks for the companies, especially for SMEs. As one of the biggest barriers in new business model implementation, the lack of strategy and workforce skills is frequently mentioned in the literature. The high level of investments it requires and the perception of high risks with unclear future benefits can be avoided with readiness factor calculation. This paper presents a novel model for readiness factor calculation, oriented to process planning and based on decision support systems. The model enables the definition of the optimal strategic plan for the digitization with the use of decision support systems (analytic hierarchy process) and through the use of statistical methods implemented within the model it minimizes the influence of human subjectivity and quantification of qualitative criteria. This innovative approach enables the understanding of the transition process to new technology-enabled business models, in this case oriented towards process planning. The useability and reliability of the model is proven in a case study of a metal machining company. |
| first_indexed | 2024-03-09T23:06:44Z |
| format | Article |
| id | doaj.art-3fe4084224194dddb4f8e5313f1def7e |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-09T23:06:44Z |
| publishDate | 2022-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-3fe4084224194dddb4f8e5313f1def7e2023-11-23T17:51:52ZengMDPI AGSensors1424-82202022-02-01223118510.3390/s22031185Industry 4.0 Readiness Calculation—Transitional Strategy Definition by Decision Support SystemsMaja Trstenjak0Tihomir Opetuk1Hrvoje Cajner2Miro Hegedić3Faculty of Mechanical Engineering and Naval Architecture, University of Zagreb, Ivana Lucica 5, 10 000 Zagreb, CroatiaFaculty of Mechanical Engineering and Naval Architecture, University of Zagreb, Ivana Lucica 5, 10 000 Zagreb, CroatiaFaculty of Mechanical Engineering and Naval Architecture, University of Zagreb, Ivana Lucica 5, 10 000 Zagreb, CroatiaFaculty of Mechanical Engineering and Naval Architecture, University of Zagreb, Ivana Lucica 5, 10 000 Zagreb, CroatiaThe digitization of the manufacturing industry, 10 years after the introduction of the Industry 4.0 concept, is still one of the most demanding tasks for the companies, especially for SMEs. As one of the biggest barriers in new business model implementation, the lack of strategy and workforce skills is frequently mentioned in the literature. The high level of investments it requires and the perception of high risks with unclear future benefits can be avoided with readiness factor calculation. This paper presents a novel model for readiness factor calculation, oriented to process planning and based on decision support systems. The model enables the definition of the optimal strategic plan for the digitization with the use of decision support systems (analytic hierarchy process) and through the use of statistical methods implemented within the model it minimizes the influence of human subjectivity and quantification of qualitative criteria. This innovative approach enables the understanding of the transition process to new technology-enabled business models, in this case oriented towards process planning. The useability and reliability of the model is proven in a case study of a metal machining company.https://www.mdpi.com/1424-8220/22/3/1185Industry 4.0process planningreadiness factormaturitydigitizationstrategy |
| spellingShingle | Maja Trstenjak Tihomir Opetuk Hrvoje Cajner Miro Hegedić Industry 4.0 Readiness Calculation—Transitional Strategy Definition by Decision Support Systems Sensors Industry 4.0 process planning readiness factor maturity digitization strategy |
| title | Industry 4.0 Readiness Calculation—Transitional Strategy Definition by Decision Support Systems |
| title_full | Industry 4.0 Readiness Calculation—Transitional Strategy Definition by Decision Support Systems |
| title_fullStr | Industry 4.0 Readiness Calculation—Transitional Strategy Definition by Decision Support Systems |
| title_full_unstemmed | Industry 4.0 Readiness Calculation—Transitional Strategy Definition by Decision Support Systems |
| title_short | Industry 4.0 Readiness Calculation—Transitional Strategy Definition by Decision Support Systems |
| title_sort | industry 4 0 readiness calculation transitional strategy definition by decision support systems |
| topic | Industry 4.0 process planning readiness factor maturity digitization strategy |
| url | https://www.mdpi.com/1424-8220/22/3/1185 |
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