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Characterizing Digital Dashboards for Smart Production Logistics

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Advances in Production Management Systems. Smart Manufacturing and Logistics Systems: Turning Ideas into Action (APMS 2022)

Part of the book series: IFIP Advances in Information and Communication Technology ((IFIPAICT,volume 664))

Abstract

Developing digital dashboards (DD) that support staff in monitoring, identifying anomalies, and facilitating corrective actions are decisive for achieving the benefits of Smart Production Logistics (SPL). However, existing literature about SPL has not sufficiently investigated the characteristics of DD allowing staff to enhance operational performance. This conceptual study identifies the characteristics of DD in SPL for enhancing operational performance of material handling. The study presents preliminary findings from an ongoing laboratory development, and identifies six characteristics of DD. These include monitoring, analysis, prediction, identification, recommendation, and control. The study discusses the implications of these characteristics when applied to energy consumption, makespan, on-time delivery, and status for material handling. The study proposes the prototype of a DD in a laboratory environment involving Autonomous Mobile Robots.

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Acknowledgement(s)

The authors would like to acknowledge the support of Swedish Innovation Agency (VINNOVA), and its funding program Produktion2030. This study is part of the Explainable and Learning Production & Logistics by Artificial Intelligence (EXPLAIN) project.

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Authors and Affiliations

  1. KTH Royal Institute of Technology, Södertälje, 151 36, Sweden

    Erik Flores-García, Yongkuk Jeong & Magnus Wiktorsson

  2. Seoul National University, Seoul, 08826, Republic of South Korea

    Dong Hoon Kwak & Jong Hun Woo

  3. Scania CV AB, Södertälje, 151 38, Sweden

    Thomas Schmitt & Lars Hanson

  4. Uppsala University, Uppsala, 752 36, Sweden

    Thomas Schmitt

  5. University of Skövde, Skövde, 541 28, Sweden

    Lars Hanson

Authors
  1. Erik Flores-García
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  2. Yongkuk Jeong
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  3. Magnus Wiktorsson
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  4. Dong Hoon Kwak
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  5. Jong Hun Woo
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  6. Thomas Schmitt
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  7. Lars Hanson
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Corresponding author

Correspondence to Erik Flores-García .

Editor information

Editors and Affiliations

  1. Pohang University of Science and Technology, Pohang, Korea (Republic of)

    Duck Young Kim

  2. ZF Friedrichshafen AG, Friedrichshafen, Germany

    Gregor von Cieminski

  3. Tecnológico de Monterrey, Mexico City, Mexico

    David Romero

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Flores-García, E. et al. (2022). Characterizing Digital Dashboards for Smart Production Logistics. In: Kim, D.Y., von Cieminski, G., Romero, D. (eds) Advances in Production Management Systems. Smart Manufacturing and Logistics Systems: Turning Ideas into Action. APMS 2022. IFIP Advances in Information and Communication Technology, vol 664. Springer, Cham. https://doi.org/10.1007/978-3-031-16411-8_60

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  • DOI: https://doi.org/10.1007/978-3-031-16411-8_60

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-16410-1

  • Online ISBN: 978-3-031-16411-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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