Traffic Load Heat Map – An innovative approach for the analysis and optimization of internal traffic

URN to cite this document: urn:nbn:de:bvb:703-epub-3621-6

Title data

Tomanek, Dagmar P. ; Schröder, Jürgen:
Traffic Load Heat Map – An innovative approach for the analysis and optimization of internal traffic.
2017
Event: International Conference Management of Technology - Step to Sustainable Production (MOTSP 2017) , 05.-07.04.2017 , Dubrovnik, Kroatien.
(Conference item: Conference , Paper )

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Abstract

The Traffic Load Heat Map (TLHM) is a method for holistic visualization of the internal traffic load. Based on a production layout, the entire traffic in a production plant is visualized with different colors. Within a defined scale of colors, each color represents a specific frequency range of current traffic. Consequently, busy driveways that potentially cause delays in delivery can be easily identified in the resulting heat-map and appropriate measures can be discussed. In literature, a wide variety of methods and tools for visualizing the traffic load are found. For example, common methods are hydrographs or Sankey diagrams. These methods result in strongly simplified models that have limited informative value. Additionally, they often solely focus on parts of the whole traffic load, like crossings. Some of these methods analyze a wider spectrum of the traffic load. This often has negative effects on the clarity of the resulting visualization. The Traffic Load Heat Map method approaches an integrated assessment of the traffic load. Even though the traffic load is wholly analyzed, the resulting heat map is still easily understandable and clear. In this article, the innovative Traffic Load Heat Map method is described and exemplarily applied to a real-life production shop floor. It is a practical basis for optimizing the production layout and thus facilitates value concentration.

Further data

Item Type:	Conference item (Paper)
Keywords:	Internal Traffic; Intralogistics; Optimization of Driveways; Production Space Efficiency; Value Concentration;
DDC Subjects:	300 Social sciences > 330 Economics
Institutions of the University:	Graduate Schools > University of Bayreuth Graduate School Graduate Schools
Language:	English
Originates at UBT:	No
URN:	urn:nbn:de:bvb:703-epub-3621-6
Date Deposited:	06 Apr 2018 07:00
Last Modified:	06 Apr 2018 07:00
URI:	https://epub.uni-bayreuth.de/id/eprint/3621

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