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    <title>Industry 4.0 Technologies: Sustainable Manufacturing Supply Chains</title>
    <subTitle>Volume II - Methods for transition and trends</subTitle>
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    <namePart>K E K, Vimal.</namePart>
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    <namePart>Rajak, Sonu.</namePart>
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    <namePart>Kumar, Vikas.</namePart>
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    <namePart>Mor, Rahul S.</namePart>
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    <namePart>Assayed, Almoayied.</namePart>
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    <dateIssued encoding="marc">2024</dateIssued>
    <edition>1st ed. 2024.</edition>
    <issuance>monographic</issuance>
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    <extent>X, 201 p. 73 illus., 35 illus. in color. online resource.</extent>
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  <abstract>This book covers topics related to implementation of advanced technologies, such as AI, big data, procurement 4.0, Logistics 4.0 and Lean 4.0, in Industry 4.0 for the manufacturing supply chain. Many applications of Industry 4.0 in the manufacturing supply chain have been presented. The content of this book is useful for students, researchers and professionals in order to implement Industry 4.0 in manufacturing supply chain.</abstract>
  <tableOfContents>SME 4.0: AI based Machine Health Monitoring and Optimal Decision Support System for Preventive Maintenance Management Approaches in Smart Manufacturing -- Case Study: Industry 4.0 in manufacturing sustainable supply chain -- Sustainability and digitalisation in SMEs in pandemic scenario -- Challenges in adoption of Industry 4.0 in Supply Chain: Study in context of Oil and Gas Industry -- Improving Supply Chain Sustainability Decisions using Artificial Intelligence and Analytics: Evidence from the Manufacturing Sector -- A Grey-DEMATEL Approach for Analyzing the Challenges for Lean 4.0 in SMEs.</tableOfContents>
  <note type="statement of responsibility">edited by Vimal K E K, Sonu Rajak, Vikas Kumar, Rahul S. Mor, Almoayied Assayed.</note>
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    <topic>Industrial engineering</topic>
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    <topic>Production engineering</topic>
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  <subject authority="lcsh">
    <topic>Business logistics</topic>
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    <topic>Industrial and Production Engineering</topic>
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    <topic>Supply Chain Management</topic>
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    <topic>Data Analysis and Big Data</topic>
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      <title>Environmental Footprints and Eco-design of Products and Processes</title>
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  <identifier type="isbn">9789819948949</identifier>
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