Sprache: Englisch
Verlag: Deep & Deep Publications Pvt. Ltd., 2010
ISBN 10: 818450280X ISBN 13: 9788184502800
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In den WarenkorbZustand: New. xiv, 242 pages.
Sprache: Englisch
Verlag: LAP LAMBERT Academic Publishing, 2016
ISBN 10: 3659921009 ISBN 13: 9783659921001
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Sprache: Englisch
Verlag: LAP LAMBERT Academic Publishing, 2017
ISBN 10: 365981735X ISBN 13: 9783659817359
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Sprache: Portugiesisch
Verlag: Edi??es Nosso Conhecimento, 2025
ISBN 10: 620870863X ISBN 13: 9786208708634
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Sprache: Portugiesisch
Verlag: Edi??es Nosso Conhecimento, 2025
ISBN 10: 620870863X ISBN 13: 9786208708634
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Zustand: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.
Sprache: Spanisch
Verlag: Ediciones Nuestro Conocimiento, 2020
ISBN 10: 620098459X ISBN 13: 9786200984593
Anbieter: moluna, Greven, Deutschland
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In den WarenkorbPaperback. Zustand: Brand New. 256 pages. 9.18x6.12x9.21 inches. In Stock.
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Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Master's Thesis from the year 2021 in the subject Business economics - Supply, Production, Logistics, grade: 2, , course: Supply Chain, language: English, abstract: The Supply chain process is an integrated business process that organizes and manages the flow of goods and services from the manufactures to the end-users. It and streamlines the supply chain activities by establishing linkage between suppliers, dealers, manufacturers, service providers, and end-users. The concept of supply chain management is adopted by different industries such as healthcare, retail, food, manufacturing, construction, and textile to enhance the working process and optimize customer value. The working of the supply chain process could be enhanced by adopting advanced technologies and digitalization in its working. While focusing on digitalization in the supply chain, it includes the introduction of digital technologies such as Big Data, the Internet of Things (IoT), Artificial Intelligence (AI), cloud computing, predictive analytics, and blockchain into the supply chain process. The technologies enhance the supply chain management system by coordinating and synchronizing the different supply chain parts such as order, raw materials, production, finished products, warehouse, logistics, packaging, delivery, retailer, and end-user. For instance, the adoption of the blockchain process into the supply chain management process helps in simplifying the complex supply chain work process and transferring paper-intensive work processes into digitalized formats. On the other hand, the introduction of the robotic process helps in digitizing the back-office process by 50% to 80% that helps in faster movement and précised tracking of products. Predictive analytics is based on advanced analytics that facilities the supply chain process by streamlining internal and external demand variables such as social media trends, sensor data, and demand plans. It helps in improving demand prediction accuracy and lowering prediction errors by 30% to 50%. It increases industry and business to adopt digitalization in supply chain process to experience technology maturity and accelerated functionaries. Digital technology such as Big Data is included in the supply chain process that synchronizes the different processes such as promotion, procurement, stockroom, and haulage.
Anbieter: buchversandmimpf2000, Emtmannsberg, BAYE, Deutschland
Taschenbuch. Zustand: Neu. Neuware -Master's Thesis from the year 2021 in the subject Business economics - Supply, Production, Logistics, grade: 2, , course: Supply Chain, language: English, abstract: The Supply chain process is an integrated business process that organizes and manages the flow of goods and services from the manufactures to the end-users. It and streamlines the supply chain activities by establishing linkage between suppliers, dealers, manufacturers, service providers, and end-users. The concept of supply chain management is adopted by different industries such as healthcare, retail, food, manufacturing, construction, and textile to enhance the working process and optimize customer value. The working of the supply chain process could be enhanced by adopting advanced technologies and digitalization in its working. While focusing on digitalization in the supply chain, it includes the introduction of digital technologies such as Big Data, the Internet of Things (IoT), Artificial Intelligence (AI), cloud computing, predictive analytics, and blockchain into the supply chain process. The technologies enhance the supply chain management system by coordinating and synchronizing the different supply chain parts such as order, raw materials, production, finished products, warehouse, logistics, packaging, delivery, retailer, and end-user. For instance, the adoption of the blockchain process into the supply chain management process helps in simplifying the complex supply chain work process and transferring paper-intensive work processes into digitalized formats. On the other hand, the introduction of the robotic process helps in digitizing the back-office process by 50% to 80% that helps in faster movement and précised tracking of products. Predictive analytics is based on advanced analytics that facilities the supply chain process by streamlining internal and external demand variables such as social media trends, sensor data, and demand plans. It helps in improving demand prediction accuracy and lowering prediction errors by 30% to 50%. It increases industry and business to adopt digitalization in supply chain process to experience technology maturity and accelerated functionaries. Digital technology such as Big Data is included in the supply chain process that synchronizes the different processes such as promotion, procurement, stockroom, and haulage.Books on Demand GmbH, Überseering 33, 22297 Hamburg 96 pp. Englisch.
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EUR 104,87
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In den WarenkorbZustand: New.
ISBN 10: 8119105052 ISBN 13: 9788119105052
Anbieter: Majestic Books, Hounslow, Vereinigtes Königreich
EUR 27,11
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