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Erschienen in:
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2022 | OriginalPaper | Buchkapitel

Characterizing Digital Dashboards for Smart Production Logistics

verfasst von : Erik Flores-García, Yongkuk Jeong, Magnus Wiktorsson, Dong Hoon Kwak, Jong Hun Woo, Thomas Schmitt, Lars Hanson

Erschienen in: Advances in Production Management Systems. Smart Manufacturing and Logistics Systems: Turning Ideas into Action

Verlag: Springer Nature Switzerland

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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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Vorheriges Kapitel Supporting Data Analytics in Manufacturing with a Digital Assistant
Nächstes Kapitel Human Digital Twin System for Operator Safety and Work Management
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Metadaten
Titel
Characterizing Digital Dashboards for Smart Production Logistics
verfasst von
Erik Flores-García
Yongkuk Jeong
Magnus Wiktorsson
Dong Hoon Kwak
Jong Hun Woo
Thomas Schmitt
Lars Hanson
Copyright-Jahr
2022
Buch
Advances in Production Management Systems. Smart Manufacturing and Logistics Systems: Turning Ideas into Action

Print ISBN: 978-3-031-16410-1

Electronic ISBN: 978-3-031-16411-8

Copyright-Jahr: 2022

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

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