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Order Related Acoustic Characterization of Production Data

  • Michael IberEmail author
  • Katja Windt
Conference paper
Part of the Lecture Notes in Production Engineering book series (LNPE)

Abstract

The conductor of an orchestra is able to distinguish not only between different instruments, but even among dozens of string players performing on instruments with similar sound qualities. Trained human ear not only is capable to highly differentiate between pitches and colors of sound, but also to localize the position, where the sound is coming from. This chapter presents a parameter mapping sonification approach on production data, which is based on these human perceptual skills. Representatively for other logistic parameters, throughput times of orders are sonified and allocated in a sonic space. Additionally to auditory representations of the established resource and order oriented views in logistics, a third perspective is introduced, which displays the complete workflow of an order simultaneously as a multi-pitched spatial sound. Thus, causes and impacts of high throughput times in the data set example could be identified.

Keywords

Manufacturing Parameter mapping sonification Data mining Logistic analysis 

Notes

Acknowledgments

The research of Prof. Dr.-Ing. Katja Windt is supported by the Alfried Krupp Prize for Young University Teachers of the Krupp Foundation. This project was initiated and supported by the research group “Rhythm” of The Young Academy at the Berlin-Brandenburg Academy of Sciences and Humanities and the German Academy of Natural Scientists Leopoldina: www.diejungeakademie.de

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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  1. 1.Jacobs University BremenBremenGermany

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