© 2021

Proceedings of the Fourteenth International Conference on Management Science and Engineering Management

Volume 2

  • Jiuping Xu
  • Gheorghe Duca
  • Syed Ejaz Ahmed
  • Fausto Pedro García Márquez
  • Asaf Hajiyev
Conference proceedings ICMSEM 2020

Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 1191)

Table of contents

  1. Front Matter
    Pages i-xvi
  2. Part I: Supply Chain

    1. Front Matter
      Pages 11-11
    2. Yusheng Wang, Zaiwu Gong, Benjamin Lev
      Pages 35-44
    3. Alberto Pliego-Marugán, Jesús María Pinar-Pérez, Diego Ruiz-Hernández
      Pages 45-56
    4. Jesús María Pinar-Pérez, Alberto Pliego-Marugán, Diego Ruiz-Hernández
      Pages 57-67
    5. Xinyuan Cui, Jiayi Wang, Yuyu Geng, Chunxiang Guo
      Pages 93-105
    6. Muhammad Nazam, Muhammad Hashim, Waseem Ahmad, Sajjad Ahmad Baig
      Pages 106-118
    7. Carlos Quiterio Gómez Muñoz, Christian Paredes Alvarez, Fausto Pedro Garcia Marquez
      Pages 119-130
    8. Gheorghe Avornic, Cristina Copǎceanu
      Pages 143-153
    9. Yanfei Deng, Huichao Liu, Xulian Xie, Lei Xu
      Pages 154-166
    10. Valentina Calmâş, Svetlana Fedorciucova, Ghenadie Şpac, Olga Tabunscic
      Pages 179-188

Other volumes

  1. Volume 1
  2. Proceedings of the Fourteenth International Conference on Management Science and Engineering Management
    Volume 2

About these proceedings


This book gathers the proceedings of the 14th International Conference on Management Science and Engineering Management (ICMSEM 2020). Held at the Academy of Studies of Moldova from July 30 to August 2, 2020, the conference provided a platform for researchers and practitioners in the field to share their ideas and experiences.

Covering a wide range of topics, including hot management issues in engineering science, the book presents novel ideas and the latest research advances in the area of management science and engineering management. It includes both theoretical and practical studies of management science applied in computing methodology, highlighting advanced management concepts, and computing technologies for decision-making problems involving large, uncertain and unstructured data. The book also describes the changes and challenges relating to decision-making procedures at the dawn of the big data era, and discusses new technologies for analysis, capture, search, sharing, storage, transfer and visualization, as well as advances in the integration of optimization, statistics and data mining. Given its scope, it will appeal to a wide readership, particularly those looking for new ideas and research directions. 


Decision Support System Computing Methodology Information Technology Data Analysis and Mining Operational Management Project Management Green Supply Chain Decision Industry Strategy Management ICMSEM ICMSEM2020

Editors and affiliations

  • Jiuping Xu
    • 1
  • Gheorghe Duca
    • 2
  • Syed Ejaz Ahmed
    • 3
  • Fausto Pedro García Márquez
    • 4
  • Asaf Hajiyev
    • 5
  1. 1.Business SchoolSichuan UniversityChengduChina
  2. 2.Academy of Sciences of MoldovaChisinauMoldova
  3. 3.Faculty of Math and ScienceBrock UniversityHamiltonCanada
  4. 4.ETSI Industriales de Ciudad RealUniversity of Castile-La Mancha (UCLM)Ciudad RealSpain
  5. 5.Institute of Control SystemsAzerbaijan Natl Academy of SciencesBakuAzerbaijan

Bibliographic information

  • Book Title Proceedings of the Fourteenth International Conference on Management Science and Engineering Management
  • Book Subtitle Volume 2
  • Editors Jiuping Xu
    Gheorghe Duca
    Syed Ejaz Ahmed
    Fausto Pedro García Márquez
    Asaf Hajiyev
  • Series Title Advances in Intelligent Systems and Computing
  • Series Abbreviated Title Advs in Intelligent Syst., Computing
  • DOI
  • Copyright Information The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2021
  • Publisher Name Springer, Cham
  • eBook Packages Intelligent Technologies and Robotics Intelligent Technologies and Robotics (R0)
  • Softcover ISBN 978-3-030-49888-7
  • eBook ISBN 978-3-030-49889-4
  • Series ISSN 2194-5357
  • Series E-ISSN 2194-5365
  • Edition Number 1
  • Number of Pages XVI, 819
  • Number of Illustrations 67 b/w illustrations, 125 illustrations in colour
  • Topics Computational Intelligence
    Big Data/Analytics
  • Buy this book on publisher's site
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