Rahimi i big data analytics in supply chain management theory and applications 2021
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Rahimi i big data analytics in supply chain management theory and applications 2021
Edited byIman Rahimi Amir H. Gandomi Simon James Fong M. All OlkuCRC PressMKjgaylor & r rancis GroupBig Data Analytics in Supply Chain ManagementTaylo Rahimi i big data analytics in supply chain management theory and applications 2021 or & Francis Grouphttp://taylorandfrancis.comBig Data Analytics in Supply Chain Management Theory and ApplicationsEdited byIman Rahimi, Amir H. Gandomi. Simon James Fong, and M. All ủlkũCRC Press\Cf^" J Taylor & Francis GroupBoca Raton London New YorkCRC Press is an imprint of theTaylor & Francis Gr Rahimi i big data analytics in supply chain management theory and applications 2021 oup, an informa businessFirst edition published 2021by CRC Press6000 Broken Sound Parkway NW, Suite 300, Boca Raton, Fl. 33487-2742and by CRC Press2 PRahimi i big data analytics in supply chain management theory and applications 2021
ark Square, Milton Park, Abingdon, Oxon, 0X14 4RN© 2021 Taylor & Francis Group, LLCCRC Press is an imprint of Taylor & Francis Group, LLCReasonable efEdited byIman Rahimi Amir H. Gandomi Simon James Fong M. All OlkuCRC PressMKjgaylor & r rancis GroupBig Data Analytics in Supply Chain ManagementTaylo Rahimi i big data analytics in supply chain management theory and applications 2021 ials or the consequences of their use. The authors and publishers have attempted to trace the copyright holders of all material reproduced in this publication and apologize to copyright holders if permission to publish in this form has not been obtained. If any copyright material has not been acknow Rahimi i big data analytics in supply chain management theory and applications 2021 ledged please write and let us know so we may rectify in any future reprint.Except as permitted under U.S. Copyright Law, no part of this book may beRahimi i big data analytics in supply chain management theory and applications 2021
reprinted, reproduced, transmitted, or utilized in any form by any electronic, mechanical, or other means, now known or hereafter invented, including Edited byIman Rahimi Amir H. Gandomi Simon James Fong M. All OlkuCRC PressMKjgaylor & r rancis GroupBig Data Analytics in Supply Chain ManagementTaylo Rahimi i big data analytics in supply chain management theory and applications 2021 ssion to photocopy or use material electronically from this work, access www.copyright. com or contact the Copyright Clearance Center, Inc. (CCC), 222 Rosewood Drive, Danvers, MA 01923,978'750-8400. For works that are not available on ccc please contact mpkbookspermissions@ tandf.co.ukTrademark noti Rahimi i big data analytics in supply chain management theory and applications 2021 ce-. Product or corporate names may be trademarks or registered trademarks and are used only for identification and explanation without intent to infrRahimi i big data analytics in supply chain management theory and applications 2021
inge.Library of Congress Cataloging-in-Pnblication DataNames: Rahimi, Iman, editor. I Gandomi, Amir Hossein, editor. I Fong, Simon, editor. I Ulkii, MEdited byIman Rahimi Amir H. Gandomi Simon James Fong M. All OlkuCRC PressMKjgaylor & r rancis GroupBig Data Analytics in Supply Chain ManagementTaylo Rahimi i big data analytics in supply chain management theory and applications 2021 s Fong and M. All Ulkii.Description: First edition. I Boca Raton : CRC Press, 2021. IIncludes bibliographical references and index.Identifiers: LCCN 2020036449 (print) I LCCN 2020036450 (ebook) IISBN 9780367407179 (hbk) I ISBN 9780367816384 (ebk)Subjects: LCSH: Business logistics. I Big data.Classif Rahimi i big data analytics in supply chain management theory and applications 2021 ication: LCC HD38.5 .B53 2021 (print) I LCC HD38.5 (ebook) IEdited byIman Rahimi Amir H. Gandomi Simon James Fong M. All OlkuCRC PressMKjgaylor & r rancis GroupBig Data Analytics in Supply Chain ManagementTayloEdited byIman Rahimi Amir H. Gandomi Simon James Fong M. All OlkuCRC PressMKjgaylor & r rancis GroupBig Data Analytics in Supply Chain ManagementTayloGọi ngay
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