Books on the topic 'Mining supply chain'

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1

1955-, Wang John, ed. Innovations in supply chain management for information systems: Novel approaches. Hershey, PA: Business Science Reference, 2010.

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2

1955-, Wang John, ed. Innovations in supply chain management for information systems: Novel approaches. Hershey, PA: Business Science Reference, 2010.

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3

Seitz, Alexander M. Data driven approaches increasing robustness, accuracy, and service levels of industrial demand fulfilment. München: Universitätsbibliothek der TU München, 2017.

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4

Merry, Michael L. The lean supplier, 1968-2010: Supply chain management for suppliers, contractors and manufacturers working for mining companies located far from the source of supply. Coral Gables, Fla: Lean Supplier Pub., 2011.

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5

Müller, Jürgen. A Real-Time In-Memory Discovery Service: Leveraging Hierarchical Packaging Information in a Unique Identifier Network to Retrieve Track and Trace Information. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013.

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6

Fong, Simon, Amir Hossein Gandomi, Iman Rahimi, and Muhammed Ali Ülkü. Big Data Analytics in Supply Chain Management. Taylor & Francis Group, 2020.

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7

Gandomi, Amir H., Simon James Fong, Iman Rahimi, and M. Ali Ülkü. Big Data Analytics in Supply Chain Management: Theory and Applications. Taylor & Francis Group, 2020.

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8

Gandomi, Amir H., Simon James Fong, Iman Rahimi, and M. Ali Ülkü. Big Data Analytics in Supply Chain Management: Theory and Applications. Taylor & Francis Group, 2020.

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9

Gandomi, Amir H., Simon James Fong, Iman Rahimi, and M. Ali Ülkü. Big Data Analytics in Supply Chain Management: Theory and Applications. Taylor & Francis Group, 2020.

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10

Big Data Driven Supply Chain Management: A Framework for Implementing Analytics and Turning Information Into Intelligence. Pearson FT Press, 2014.

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11

Jena, Om Prakash, Alok Ranjan Tripathy, Brojo Kishore Mishra, and Ahmed A. Elngar, eds. Augmented Intelligence: Deep Learning, Machine Learning, Cognitive Computing, Educational Data Mining. BENTHAM SCIENCE PUBLISHERS, 2022. http://dx.doi.org/10.2174/97898150404011220301.

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Blockchain, whether public or private, is capable enough to maintain the integrity of transactions by decentralizing the records for users. Many IoT companies are using blockchain technology to make the world a better-connected place. Businesses and researchers are exploring ways to make this technology increasingly efficient for IoT services. This volume presents the recent advances in these two technologies. Chapters explain the fundamentals of Blockchain and IoT, before explaining how these technologies, when merged together, provide a transparent, reliable, and secure model for data processing by intelligent devices in various domains. Readers will be able to understand how these technologies are making an impact on healthcare, supply chain management and electronic voting, to give a few examples. The 10 peer-reviewed book chapters have been contributed by scholars, researchers, academicians, and engineering professionals, and provide a comprehensive yet easily digestible update on Blockchain on IoT technology.
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12

Luna-Reyes, Luis F., and Holly Jarman. Private Data and Public Value: Governance, Green Consumption, and Sustainable Supply Chains. Springer London, Limited, 2016.

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Luna-Reyes, Luis F., and Holly Jarman. Private Data and Public Value: Governance, Green Consumption, and Sustainable Supply Chains. Springer, 2018.

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14

Luna-Reyes, Luis F., and Holly Jarman. Private Data and Public Value: Governance, Green Consumption, and Sustainable Supply Chains. Springer, 2016.

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15

B, J. Beyond Blockchain: Utilizing IOTA's Tangle Technology to Create a Tamper-Proof, Immutable and Scalable Supply Tracing Concept to Antagonize Artisanal Mining Used in Electronic Vehicle Supply Chains. Independently Published, 2020.

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16

Müller, Jürgen. A Real-Time In-Memory Discovery Service: Leveraging Hierarchical Packaging Information in a Unique Identifier Network to Retrieve Track and Trace Information. Springer, 2013.

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17

Müller, Jürgen. A Real-Time In-Memory Discovery Service: Leveraging Hierarchical Packaging Information in a Unique Identifier Network to Retrieve Track and Trace Information. Springer, 2015.

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