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IFIP International Conference on Advances in Production Management Systems

APMS 2021: Advances in Production Management Systems. Artificial Intelligence for Sustainable and Resilient Production Systems pp 112–117Cite as

Supporting Manufacturing Processes Design Using Stakeholder Opinions and Sentiment Analysis

Part of the IFIP Advances in Information and Communication Technology book series (IFIPAICT,volume 632)

Abstract

In this paper we present a novel approach of empowering the design of business processes in manufacturing and broader by using sentiment analysis on collaborative comments collected during the design phase of business processes. This method involves the implicit information of sentiment hidden behind the suggestions for the process improvements. To discover and utilize the sentiment for process redesign we trained and tested our Sentiment Analysis Module (SAM). This module classifies and scores the sentiment of comments and acts as a part of software tool for BPMN based modeling and annotation. As initial step we designed a real world use case to demonstrate the possibilities of our software. The preliminary result with evaluation test case seem to be promising regarding effective ranking and classifying the improvement proposals on BPMN design of manufacturing processes. However, there is still plenty of space for improvements in trainings data segment and in extending the tool with social BPMN functionality.

Keywords

  • Sentiment analysis
  • Business process redesign
  • Business process management

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Notes

  1. 1.

    https://sites.google.com/view/sentipromo.

  2. 2.

    https://archive.ics.uci.edu/ml/datasets/Sentiment+Labelled+Sentence.

  3. 3.

    http://help.sentiment140.com/for-students/.

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Author information

Authors and Affiliations

  1. CAMPUS 02 University of Applied Sciences, Graz, Austria

    Egon Lüftenegger & Selver Softic

Authors
  1. Egon Lüftenegger
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  2. Selver Softic
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Corresponding author

Correspondence to Selver Softic .

Editor information

Editors and Affiliations

  1. IMT Atlantique, Nantes, France

    Alexandre Dolgui

  2. Centrale Nantes, Nantes, France

    Prof. Alain Bernard

  3. IMT Atlantique, Nantes, France

    David Lemoine

  4. ZF Friedrichshafen AG, Friedrichshafen, Germany

    Gregor von Cieminski

  5. Tecnológico de Monterrey, Mexico City, Mexico

    David Romero

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Cite this paper

Lüftenegger, E., Softic, S. (2021). Supporting Manufacturing Processes Design Using Stakeholder Opinions and Sentiment Analysis. In: Dolgui, A., Bernard, A., Lemoine, D., von Cieminski, G., Romero, D. (eds) Advances in Production Management Systems. Artificial Intelligence for Sustainable and Resilient Production Systems. APMS 2021. IFIP Advances in Information and Communication Technology, vol 632. Springer, Cham. https://doi.org/10.1007/978-3-030-85906-0_13

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  • DOI: https://doi.org/10.1007/978-3-030-85906-0_13

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-85905-3

  • Online ISBN: 978-3-030-85906-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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