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Inventory Control with Machine Learning Approach: A Bibliometric Analysis

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Pervasive Computing and Social Networking

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 317))

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Abstract

The selection from this survey report is to use several keywords as a search on Scopus database. Some of the keywords used in this analysis utilize the novelty of research on inventory control and machine learning approach. The bibliometric analysis takes some aspects of the analysis, namely: the number of annual publications in the journal (book chapter, conference are excluded), the most journal in publication, collaboration between authors, and network analysis between keywords. Based on citation, machine learning approach is generally used to predict, classify inventory, sales, and production scheduling. Many approaches from machine learning to inventory control are explored, especially in the field of computer science to answer the challenges in the era of industry 4.0 and Internet of Things (IoT).

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Authors and Affiliations

  1. Computer Science Department, Bina Nusantara University, Jl. K. H. Syahdan No. 9, Kemanggisan, Palmerah, Jakarta, 11480, Indonesia

    Sudimanto, Ford Lumban Gaol, Harco Leslie Hendric Spits Warnars & Benfano Soewito

Authors
  1. Sudimanto
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  2. Ford Lumban Gaol
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  3. Harco Leslie Hendric Spits Warnars
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  4. Benfano Soewito
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Corresponding author

Correspondence to Sudimanto .

Editor information

Editors and Affiliations

  1. Electronics And Communication Engineering, Gnanamani College of Technology, Namakkal, India

    G. Ranganathan

  2. Czech Technical University in Prague, Prague, Czech Republic

    Robert Bestak

  3. Department at the Gerald Schwartz School of Business, St. Francis Xavier University,, Nova Scotia, NS, Canada

    Ram Palanisamy

  4. Department of Informatics Engineering, AISTI & University of Coimbra, Coimbra, Portugal

    Álvaro Rocha

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© 2022 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Sudimanto, Lumban Gaol, F., Warnars, H.L.H.S., Soewito, B. (2022). Inventory Control with Machine Learning Approach: A Bibliometric Analysis. In: Ranganathan, G., Bestak, R., Palanisamy, R., Rocha, Á. (eds) Pervasive Computing and Social Networking. Lecture Notes in Networks and Systems, vol 317. Springer, Singapore. https://doi.org/10.1007/978-981-16-5640-8_21

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