The barriers related to smart manufacturing systems and an application for the selection of innovation management Model: The case of Samsun province
| dc.contributor.author | Aytekin, Ahmet | |
| dc.contributor.author | Korucuk, Selçuk | |
| dc.contributor.author | Karamaşa, Çağlar | |
| dc.date.accessioned | 2025-07-25T12:28:44Z | |
| dc.date.available | 2025-07-25T12:28:44Z | |
| dc.date.issued | 2023 | |
| dc.department | AÇÜ, Hopa İktisadi ve İdari Bilimler Fakültesi, İşletme Bölümü | |
| dc.description.abstract | More productive processes and innovation management have gained popularity due to technological advancements enabling flexible manufacturing, cost-effectiveness, and business process optimization. In the information age, Industry 4.0 has strengthened the relevance of smart systems, and the smart concept is emphasized for innovative production processes. In other words, integrated innovative automation and digitalized solutions provide businesses with a competitive advantage. Conse-quently, smart manufacturing technologies that enable effective and quick production processes can be regarded as key elements for businesses. However, businesses face many barriers when transitioning to and adopting smart manufacturing systems. To increase production and efficiency, businesses must remove or reduce barriers to the lowest possible level. However, in both service and manufacturing organizations, innovation management and innovation management models are critical indicators for enhancing competitiveness and providing a cost advantage. This is also beneficial for technology and smart management practices. In this context, this chapter aims to determine the importance of barriers to smart manufacturing systems in plastic sector companies operating in Samsun and select the best innovation management model. While the Neutrosophic AHP method was used to weigh the criteria, the Neutro-sophic MARCOS method was utilized to rank the alternatives consisting of linear, balanced, interactive, and learning-integrated system models. According to the study, the most significant barriers to smart production systems are “Smart manufacturing system expenses” and “Insufficient technical infrastructure.” The integrated learning systems model was chosen as the best model for innovation management. | |
| dc.identifier.doi | 10.1007/978-3-031-46708-0_4 | |
| dc.identifier.endpage | 110 | |
| dc.identifier.isbn | 978-303146708-0 | |
| dc.identifier.isbn | 978-303146707-3 | |
| dc.identifier.scopus | 2-s2.0-85205629562 | |
| dc.identifier.startpage | 91 | |
| dc.identifier.uri | https://hdl.handle.net/11494/5894 | |
| dc.indekslendigikaynak | Scopus | |
| dc.institutionauthor | Aytekin, Ahmet | |
| dc.language.iso | en | |
| dc.publisher | Springer International Publishing | |
| dc.relation.ispartof | Automation and Innovation with Computational Techniques for Futuristic Smart, Safe and Sustainable Manufacturing Processes | |
| dc.relation.publicationcategory | Kitap Bölümü - Uluslararası | |
| dc.rights | info:eu-repo/semantics/embargoedAccess | |
| dc.subject | Barriers related to smart manufacturing systems | |
| dc.subject | Innovation management and models | |
| dc.subject | Single valued neutrosophic AHP | |
| dc.subject | Single valued neutrosophic MARCOS | |
| dc.subject | Smart manufacturing systems | |
| dc.title | The barriers related to smart manufacturing systems and an application for the selection of innovation management Model: The case of Samsun province | |
| dc.type | Book Chapter |
