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Data Analytics in Operation Management

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Machine Intelligence and Data Science Applications (MIDAS 2022)

Part of the book series: Algorithms for Intelligent Systems ((AIS))

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Abstract

In the world of operation management, data analytics is used in every aspect to improve overall efficiency and productivity. This study describes the role of data analytics in the sector of operation management. In this study, a literature review of papers on the subject title about data analytics, operation management, decisions of operation management were examined. The novelty of this study is classified into three major parts. The first part includes analyzing the operation management and identifying the decisions of operation management. The second part includes examining the structure of data analytics. The third part includes the application of data analytics in the ten decisions of operation management. The study has resulted in identifying four stages of operational aspects, process optimization, TPM, and performance and data analytics has been classified into data visualization, statistical analysis as the next level and Artificial Intelligence and Machine Learning as the final level and a mapping is done to understand the application of analytics in operation management.

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Author information

Authors and Affiliations

  1. PSG Institute of Management, Coimbatore, India

    V. Harish

  2. Department of Management, Central University of Tamil Nadu, Thiruvarur, Tamil Nadu, 610001, India

    A. Mansurali

  3. CSE Department, Symbiosis Institute of Technology, Symbiosis International University, Pune, Maharashtra, 412115, India

    Tanupriya Choudhury

  4. Informatics Cluster, School of Computer Science, University of Petroleum and Energy Studies (UPES), Dehradun, Uttarakhand, 248007, India

    Tanupriya Choudhury

  5. CSE Department, Daffodil International University, Daffodil Smart City, Birulia, 1216, Bangladesh

    Tanupriya Choudhury

  6. Director Research (Honorary), The AI University, Cutbank Montana, 59427, US

    Tanupriya Choudhury

Authors
  1. V. Harish
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  2. A. Mansurali
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  3. Tanupriya Choudhury
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Corresponding author

Correspondence to V. Harish .

Editor information

Editors and Affiliations

  1. University of Versailles—Paris-Saclay, Vélizy, France

    Amar Ramdane-Cherif

  2. School of Computer Science Engineering and Technology, Bennett University, Greater Noida, India

    T. P. Singh

  3. Senior Architect, Persistent Systems, Pune, India

    Ravi Tomar

  4. CSE Department, Symbiosis Institute of Technology, Symbiosis International University, Pune, Maharashtra, India

    Tanupriya Choudhury

  5. Kyungpook National University, Daegu, Korea (Republic of)

    Jung-Sup Um

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© 2023 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Harish, V., Mansurali, A., Choudhury, T. (2023). Data Analytics in Operation Management. In: Ramdane-Cherif, A., Singh, T.P., Tomar, R., Choudhury, T., Um, JS. (eds) Machine Intelligence and Data Science Applications. MIDAS 2022. Algorithms for Intelligent Systems. Springer, Singapore. https://doi.org/10.1007/978-981-99-1620-7_6

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