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<journal-id journal-id-type="publisher">global-journal-of-computer-science-and-technology-b-cloud-distributed</journal-id>
<journal-title-group>
<journal-title>Global Journal of Computer Science and Technology - B: Cloud &amp; Distributed</journal-title>
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<issn publication-format="print">0975-4350</issn>
<issn publication-format="electronic">0975-4172</issn>
<publisher><publisher-name>Global Journals Publishing Group Incorporated</publisher-name></publisher>
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<article-id pub-id-type="publisher-id">54693</article-id>
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<article-title>Comprehensive Study on Industry 4.0, Service Quality, and Total Quality Management</article-title>
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<contrib contrib-type="author"><name><surname>Wijethunga</surname><given-names>W.L.P.D.M.P.</given-names></name><xref ref-type="aff" rid="aff1" />
</contrib>
<contrib contrib-type="author"><name><surname>Kuruwitaarachchi</surname><given-names>Nuwan</given-names></name></contrib>
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<aff id="aff1">SRI LANKA, University of Sri Jayewardenepura</aff>
<volume>23</volume>
<issue>B1</issue>
<fpage>9</fpage>
<lpage>14</lpage>
<abstract><p>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.</p></abstract>
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<kwd>industry 4.0</kwd>
<kwd>quality management</kwd>
<kwd>total quality management (tqm)</kwd>
<kwd>artificial intelligence</kwd>
<kwd>big data</kwd>
<kwd>internet of things (iot)</kwd>
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<p>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&#039;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.</p>
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