Preface to the special issue on computational performance analysis based on novel Intelligent methods: exploration and future directions in production and logistics
dc.authorid | Erfan Babaee Tirkolaee / 0000-0003-1664-9210 | en_US |
dc.authorscopusid | Erfan Babaee Tirkolaee / 57196032874 | |
dc.authorwosid | Erfan Babaee Tirkolaee / U-3676-2017 | en_US |
dc.contributor.author | Goli, Alireza | |
dc.contributor.author | Tirkolaee, Erfan Babaee | |
dc.contributor.author | Weber, Gerhard-Wilhelm | |
dc.date.accessioned | 2022-07-26T10:59:54Z | |
dc.date.available | 2022-07-26T10:59:54Z | |
dc.date.issued | 2022 | en_US |
dc.department | İstinye Üniversitesi, Mühendislik ve Doğa Bilimleri Fakültesi, Endüstri Mühendisliği Bölümü | en_US |
dc.description.abstract | This special issue of the Foundations of Computing and Decision Sciences, titled "Computational Performance Analysis based on Novel Intelligent Methods: Exploration and Future Directions in Production and Logistics", is devoted to the application of Computational Performance Analysis (CPA) for real-life phenomena. The special issue and its editorial present novel intelligent methods as they meet with various research topics in production and logistics, especially in terms of challenges, limitations and future trends. This special issue aims to bring together current progress on the CPA, organization management, and novel models and solution techniques that can contribute to a better understanding of the CPA systems and delineate useful practical strategies. Methodologically interesting and well-documented case studies are highly recommended. Additionally, the special issue covers innovative cutting-edge research methodologies and applications in the related research field. | en_US |
dc.identifier.citation | Goli, A., Tirkolaee, E. B., Weber, G.-W. (2022). Preface to the special issue on computational performance analysis based on novel Intelligent methods: exploration and future directions in production and logistics. Foundations of Computing and Decision Sciences, 47(2), 107-110. | en_US |
dc.identifier.doi | 10.2478/fcds-2022-0005 | en_US |
dc.identifier.endpage | 110 | en_US |
dc.identifier.issn | 0867-6356 | en_US |
dc.identifier.issue | 2 | en_US |
dc.identifier.scopus | 2-s2.0-85134468230 | en_US |
dc.identifier.scopusquality | Q3 | en_US |
dc.identifier.startpage | 107 | en_US |
dc.identifier.uri | https://doi.org/10.2478/fcds-2022-0005 | |
dc.identifier.uri | https://hdl.handle.net/20.500.12713/3052 | |
dc.identifier.volume | 47 | en_US |
dc.identifier.wos | WOS:000824850900001 | en_US |
dc.identifier.wosquality | N/A | en_US |
dc.indekslendigikaynak | Web of Science | en_US |
dc.indekslendigikaynak | Scopus | en_US |
dc.institutionauthor | Tirkolaee, Erfan Babaee | |
dc.language.iso | en | en_US |
dc.publisher | SCIENDO | en_US |
dc.relation.ispartof | FOUNDATIONS OF COMPUTING AND DECISION SCIENCES | en_US |
dc.relation.publicationcategory | DiÄŸer | en_US |
dc.rights | info:eu-repo/semantics/closedAccess | en_US |
dc.title | Preface to the special issue on computational performance analysis based on novel Intelligent methods: exploration and future directions in production and logistics | en_US |
dc.type | Editorial | en_US |
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