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<article xsi:noNamespaceSchemaLocation="http://jats.nlm.nih.gov/publishing/1.1/xsd/JATS-journalpublishing1-mathml3.xsd" dtd-version="1.1" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"><front><journal-meta><journal-id journal-id-type="publisher-id">JERA</journal-id><journal-title-group><journal-title>Journal of Electronic Research and Application</journal-title></journal-title-group><issn>2208-3502</issn><eissn>2208-3510</eissn><publisher><publisher-name>Bio-Byword Scientific Publishing Pty. Ltd.</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.26689/jera.v9i7.13622</article-id><article-categories><subj-group subj-group-type="heading"><subject>Article</subject></subj-group></article-categories><title>Factory Procurement Management from the Perspective of Big Data in the Manufacturing Industry</title><url>https://artdesignp.com/journal/JERA/9/7/10.26689/jera.v9i7.13622</url><author>WuFeifei</author><pub-date pub-type="publication-year"><year>2025</year></pub-date><volume>9</volume><issue>7</issue><history><date date-type="pub"><published-time>2025-12-31</published-time></date></history><abstract>Big data is revolutionizing factory procurement management in the manufacturing industry. It offers comprehensive market views, predictive analytics, and new digital procurement system frameworks. Critical success factors include supplier data analytics, real-time monitoring, and predictive inventory management. Traditional procurement has inefficiencies like manual operations and data silos. Machine learning, IoT, blockchain, etc., play important roles, and various aspects like IT maturity, workforce training, and cloud deployment require attention.</abstract><keywords/></article-meta></front><body/><back><ref-list><ref id="B1" content-type="article"><label>1</label><element-citation publication-type="journal"><p>Chen X, Zhang L, 2021, Big Data-Driven Procurement Management in Smart Manufacturing Systems. Journal of Manufacturing Systems, 60(2): 567–579.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B2" content-type="article"><label>2</label><element-citation publication-type="journal"><p>Wang Y, Li Q, 2022, Digital Transformation of Procurement Processes: An IoT and Blockchain Integration Framework. International Journal of Production Economics, 2045(3): 108431.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B3" content-type="article"><label>3</label><element-citation publication-type="journal"><p>Gupta A, Zhou S, 2023, Predictive Analytics for Inventory Optimization in Data-Intensive Manufacturing Environments. Computers &amp; Industrial Engineering, 175(1): 108890.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B4" content-type="article"><label>4</label><element-citation publication-type="journal"><p>Kim H, Razi M, 2020, Machine Learning Applications in Supplier Selection and Risk Management. Advanced Engineering Informatics, 46(4): 101189.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B5" content-type="article"><label>5</label><element-citation publication-type="journal"><p>Zhao M, Liu R, 2021, Breaking Down Data Silos: Integration Strategies for Legacy ERP and Big Data Platforms. Enterprise Information Systems, 15(9): 1234–1250.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B6" content-type="article"><label>6</label><element-citation publication-type="journal"><p>Petersen K, Ogden J, 2019, Real-Time Procurement Monitoring through IoT-Enabled Supply Chain Visibility. International Journal of Physical Distribution &amp; Logistics Management, 49(10): 1025–1043.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B7" content-type="article"><label>7</label><element-citation publication-type="journal"><p>Zhang T, Zhang D, 2022, Cloud-Based Procurement Systems: Security Challenges and Implementation Strategies. Journal of Cloud Computing, 11(1): 25.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B8" content-type="article"><label>8</label><element-citation publication-type="journal"><p>Nguyen T, Zhou J, 2023, Workforce Upskilling Requirements for Data-Driven Procurement Organizations. International Journal of Human Resource Management, 34(5): 899–917.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B9" content-type="article"><label>9</label><element-citation publication-type="journal"><p>Ghadge A, Er M, 2020, Performance Measurement Framework for Digital Procurement Transformation. Production Planning &amp; Control, 31(11–12): 987–1001.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B10" content-type="article"><label>10</label><element-citation publication-type="journal"><p>Kumar S, Singh R, 2021, Blockchain Applications in Contract Management and Compliance Monitoring. International Journal of Information Management, 59(6): 102347.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B11" content-type="article"><label>11</label><element-citation publication-type="journal"><p>Lee H, Özer Ö, 2022, The Role of Predictive Analytics in Strategic Sourcing Decisions. Manufacturing &amp; Service Operations Management, 24(3): 1401–1419.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B12" content-type="article"><label>12</label><element-citation publication-type="journal"><p>Sharma R, Kock N, 2023, Cybersecurity in Big Data Ecosystems: Protection Mechanisms for Procurement Platforms. Decision Support Systems, 164(2): 113868.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B13" content-type="article"><label>13</label><element-citation publication-type="journal"><p>Feng Q, Shanthikumar J, 2020, Data-Driven Supplier Performance Evaluation Using Multidimensional Analytics. International Journal of Production Research, 58(15): 4567–4582.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B14" content-type="article"><label>14</label><element-citation publication-type="journal"><p>Schulte B, Janiesch C, 2023, Maturity Models for Industry 4.0-Enabled Procurement Systems. Information Systems Frontiers, 25(4): 1513–1530.</p><pub-id pub-id-type="doi"/></element-citation></ref></ref-list></back></article>
