Neural Networks and Rules-based Systems used to Find Rational and Scientific Correlations between being Here and Now with Afterlife Conditions
February 17, 2026
Neural Networks and Rules-based Systems used to Find Rational and
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The purpose of this study is to examine the present status of the literature with regard to the relationships among Industry 4.0, quality management, and Total Quality Management (TQM). This article’s goal was to identify the topics and concerns that should be brought up while discussing with regard to termed quality 4.0. A systematic review of the literature was used in this study. For this review study around 15 papers from various sources were examined in total using predetermined selection and exclusion criteria. The topics were divided into the following four categories, creating value for the company using high-quality (big) data, analysis, as well as the use of artificial intelligence (AI) to develop a high-quality 4.0 culture and expertise for high-quality staff members, co-creating value for customers; and deploying cyber-physical platforms and enterprise resource planning (ERP) to assure quality and control. This essay also attempted to investigate whether Quality 4.0 had a definition based on established practices.
W.L.P.D.M.P. Wijethunga. 2026. \u201cComprehensive Study on Industry 4.0, Service Quality, and Total Quality Management\u201d. Global Journal of Computer Science and Technology - B: Cloud & Distributed GJCST-B Volume 23 (GJCST Volume 23 Issue B1): .
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Crossref Journal DOI 10.17406/gjcst
Print ISSN 0975-4350
e-ISSN 0975-4172
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Neural Networks and Rules-based Systems used to Find Rational and
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The purpose of this study is to examine the present status of the literature with regard to the relationships among Industry 4.0, quality management, and Total Quality Management (TQM). This article’s goal was to identify the topics and concerns that should be brought up while discussing with regard to termed quality 4.0. A systematic review of the literature was used in this study. For this review study around 15 papers from various sources were examined in total using predetermined selection and exclusion criteria. The topics were divided into the following four categories, creating value for the company using high-quality (big) data, analysis, as well as the use of artificial intelligence (AI) to develop a high-quality 4.0 culture and expertise for high-quality staff members, co-creating value for customers; and deploying cyber-physical platforms and enterprise resource planning (ERP) to assure quality and control. This essay also attempted to investigate whether Quality 4.0 had a definition based on established practices.
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