LEADER 03353nam 22004573 450 001 9911026375803321 005 20250811120304.0 010 $a1-60427-865-X 035 $a(MiAaPQ)EBC32256965 035 $a(Au-PeEL)EBL32256965 035 $a(CKB)40150642200041 035 $a(Exl-AI)32256965 035 $a(OCoLC)1532828166 035 $a(EXLCZ)9940150642200041 100 $a20250811d2025 uy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 14$aThe New Manufacturing Value Chain $eLeveraging AI, Machine Learning, and Advanced Analytics for Success 205 $a1st ed. 210 1$aChicago :$cJ. Ross Publishing, Incorporated,$d2025. 210 4$dİ2025. 215 $a1 online resource (260 pages) 311 08$a1-60427-210-4 327 $aCover -- Title Page -- Copyright -- Dedication -- Contents -- Foreword -- Acknowledgments -- About the Author -- WAV? Page -- 1. Why Focus on Manufacturing? -- Introduction -- Manufacturing and Advanced Manufacturing -- Definition and Concept of the Manufacturing Value Chain -- Key Components of the Manufacturing Value Chain -- Primary Activities: Creating and Delivering Value -- Support Activities: Enabling Efficiency and Effectiveness -- Summary -- 2. The Manufacturing Value Chain -- Introduction -- Overview of the Manufacturing Value Chain -- Starting the Manufacturing Value Chain?Conceptualization -- Procurement in the Manufacturing Value Chain -- The Production Stage in the Manufacturing Value Chain -- Distributing Products Made in the Manufacturing Value Chain -- Sales and Marketing in the Manufacturing Value Chain -- After-Sales Service in the Manufacturing Value Chain -- Summary?Stages in the Manufacturing Value Chain -- Industry 4.0 and Advanced Technologies -- Challenges, Opportunities, and Considerations -- Success Stories$7Generated by AI. 330 $aThis book explores the integration of advanced technologies like Artificial Intelligence (AI), Machine Learning (ML), Business Intelligence (BI), and Advanced Analytics into the manufacturing industry to optimize processes and improve efficiency. It provides a comprehensive overview of the manufacturing value chain, detailing primary and support activities, procurement methods, production, distribution, sales, and after-sales services. Key concepts include predictive maintenance, quality control, supply chain optimization, and energy efficiency. The author, Arun Gupta, aims to guide professionals and organizations in leveraging cutting-edge technologies to address challenges, drive innovation, and stay competitive in Industry 4.0. This resource is tailored for industry professionals, data scientists, and business leaders aspiring to enhance manufacturing operations and adopt future trends.$7Generated by AI. 606 $aIndustry 4.0$7Generated by AI 606 $aManufacturing processes$7Generated by AI 615 0$aIndustry 4.0 615 0$aManufacturing processes 676 $a670.427 700 $aGupta$b Arun$01739383 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9911026375803321 996 $aThe New Manufacturing Value Chain$94435484 997 $aUNINA