ADAMS, Donald and Tomáš KRULICKÝ. Artificial Intelligence-driven Big Data Analytics, Real-Time Sensor Networks, and Product Decision-Making Information Systems in Sustainable Manufacturing Internet of Things. Economics, Management, and Financial Markets. New York, USA: Addleton Academic Publishers, vol. 16, No 3, p. 81-93, 14 pp. ISSN 1842-3191. 2021.
Other formats:   BibTeX LaTeX RIS
Basic information
Original name Artificial Intelligence-driven Big Data Analytics, Real-Time Sensor Networks, and Product Decision-Making Information Systems in Sustainable Manufacturing Internet of Things
Authors ADAMS, Donald (guarantor) and Tomáš KRULICKÝ (203 Czech Republic, belonging to the institution).
Edition Economics, Management, and Financial Markets, New York, USA, Addleton Academic Publishers, 2021, 1842-3191.
Other information
Original language English
Type of outcome Article in a journal
Field of Study 10200 1.2 Computer and information sciences
Country of publisher United States of America
Confidentiality degree is not subject to a state or trade secret
WWW URL
RIV identification code RIV/75081431:_____/21:00002170
Organization unit Institute of Technology and Business in České Budějovice
Keywords in English artificial intelligence; sustainability; manufacturing; Internet of Things
Tags BPL_FIP_2, RIV21, SCOPUS
Changed by Changed by: Mgr. Nikola Petříková, učo 28324. Changed: 26/10/2021 09:14.
Abstract
We develop a conceptual framework based on a systematic and comprehensive literature review on artificial intelligence-driven big data analytics, real-time sensor networks, and product decision-making information systems in sustainable manufacturing Internet of Things. Building our argument by drawing on data collected from Management Events and McKinsey, we performed analyses and made estimates regarding how reliable and resilient smart factories develop on deep learning-based autonomous assembly systems. The data for this research were gathered via an online survey questionnaire. Descriptive statistics of compiled data from the completed surveys were calculated when appropriate.
PrintDisplayed: 28/3/2024 18:50