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Trends and Challenges of Data Management in Industry 4.0

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LISS2019

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Abstract

Trends and challenges of data management are presented in the context of Industry 4.0 to know the impact that is being generated by the development of new models and architectures that consider the Internet of Things, Cloud Computing and Big Data in its different levels of integration to allow intelligent analytics. To achieve this purpose, we developed a research protocol that follows the guide of systematic literature mapping. With this base, we elaborated an industry 4.0 classification that considers the life cycle of the data. The results show that Big Data in Industry 4.0 is in its infancy, so few proposals for prescriptive analytics have been developed. Based on the evidence found, we believe that it is necessary to align technology, modeling, and optimization under a methodology focused on data management.

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Acknowledgment

Partially supported by “CONACYT with grant No. 890778”.

Author information

Authors and Affiliations

  1. DEPI/I. T. de Hermosillo Tecnológico Nacional de México, Hermosillo, Mexico

    Eduardo A. Hinojosa-Palafox, Oscar M. Rodríguez-Elías & José A. Hoyo-Montaño

  2. Depto. de Ingeniería Industrial, Universidad de Sonora, Hermosillo, Mexico

    Jesús H. Pacheco-Ramírez

Authors
  1. Eduardo A. Hinojosa-Palafox
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  2. Oscar M. Rodríguez-Elías
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  3. José A. Hoyo-Montaño
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  4. Jesús H. Pacheco-Ramírez
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Corresponding author

Correspondence to Eduardo A. Hinojosa-Palafox .

Editor information

Editors and Affiliations

  1. School of Economics and Management, Beijing Jiaotong University, Beijing, Beijing, China

    Juliang Zhang

  2. Logistics, Business and Public Policy, University of Maryland, Baltimore, Baltimore, MD, USA

    Martin Dresner

  3. School of Economics and Management, Beijing Jiaotong University, Beijing, Beijing, China

    Runtong Zhang

  4. School of Economics and Management, Beijing Jiaotong University, Beijing, Beijing, China

    Guowei Hua

  5. School of Economics and Management, Beijing Jiaotong University, Beijing, Beijing, China

    Xiaopu Shang

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© 2020 The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Hinojosa-Palafox, E.A., Rodríguez-Elías, O.M., Hoyo-Montaño, J.A., Pacheco-Ramírez, J.H. (2020). Trends and Challenges of Data Management in Industry 4.0. In: Zhang, J., Dresner, M., Zhang, R., Hua, G., Shang, X. (eds) LISS2019. Springer, Singapore. https://doi.org/10.1007/978-981-15-5682-1_16

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