Immersive Modular Factory Layout Planning using Augmented Reality

Dominik Herr; Jan Reinhardt; Guido Reina; Robert Krüger; Rafael V. Ferrari; Thomas Ertl

doi:10.1016/j.procir.2018.03.200

Immersive Modular Factory Layout Planning using Augmented Reality

Dominik Herr, Jan Reinhardt, Guido Reina, Robert Krüger, Rafael V. Ferrari, Thomas Ertl

Research output: Contribution to journal › Conference article › peer-review

Abstract

We present an immersive analytics approach to enhance production line planning. It enables experts to analyze the performance and spatial implications of already drafted production layouts in-situ on the shop floor. The approach is implemented as an augmented reality application prototype. Experts can interactively combine the computational capabilities of layout simulations with their experience allowing to consider possibly unmodeled restrictions. Our interactive approach is enhanced by automated layout suggestions using a genetic algorithm as well as an automated layout comparison. Further, we provide information about the layout's optimization potential based on the calculation and visualization of critical paths in the layout.

Original language	English (US)
Pages (from-to)	1112-1117
Number of pages	6
Journal	Procedia CIRP
Volume	72
DOIs	https://doi.org/10.1016/j.procir.2018.03.200
State	Published - 2018
Event	51st CIRP Conference on Manufacturing Systems, CIRP CMS 2018 - Stockholm, Sweden Duration: May 16 2018 → May 18 2018

Keywords

Augmented Reality
Industrie 4.0
Visual Analytics

ASJC Scopus subject areas

Control and Systems Engineering
Industrial and Manufacturing Engineering

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10.1016/j.procir.2018.03.200

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title = "Immersive Modular Factory Layout Planning using Augmented Reality",

abstract = "We present an immersive analytics approach to enhance production line planning. It enables experts to analyze the performance and spatial implications of already drafted production layouts in-situ on the shop floor. The approach is implemented as an augmented reality application prototype. Experts can interactively combine the computational capabilities of layout simulations with their experience allowing to consider possibly unmodeled restrictions. Our interactive approach is enhanced by automated layout suggestions using a genetic algorithm as well as an automated layout comparison. Further, we provide information about the layout's optimization potential based on the calculation and visualization of critical paths in the layout.",

keywords = "Augmented Reality, Industrie 4.0, Visual Analytics",

author = "Dominik Herr and Jan Reinhardt and Guido Reina and Robert Kr{\"u}ger and Ferrari, {Rafael V.} and Thomas Ertl",

note = "Publisher Copyright: {\textcopyright} 2018 The Authors. Published by Elsevier B.V.; 51st CIRP Conference on Manufacturing Systems, CIRP CMS 2018 ; Conference date: 16-05-2018 Through 18-05-2018",

year = "2018",

doi = "10.1016/j.procir.2018.03.200",

language = "English (US)",

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TY - JOUR

T1 - Immersive Modular Factory Layout Planning using Augmented Reality

AU - Herr, Dominik

AU - Reinhardt, Jan

AU - Reina, Guido

AU - Krüger, Robert

AU - Ferrari, Rafael V.

AU - Ertl, Thomas

PY - 2018

Y1 - 2018

N2 - We present an immersive analytics approach to enhance production line planning. It enables experts to analyze the performance and spatial implications of already drafted production layouts in-situ on the shop floor. The approach is implemented as an augmented reality application prototype. Experts can interactively combine the computational capabilities of layout simulations with their experience allowing to consider possibly unmodeled restrictions. Our interactive approach is enhanced by automated layout suggestions using a genetic algorithm as well as an automated layout comparison. Further, we provide information about the layout's optimization potential based on the calculation and visualization of critical paths in the layout.

AB - We present an immersive analytics approach to enhance production line planning. It enables experts to analyze the performance and spatial implications of already drafted production layouts in-situ on the shop floor. The approach is implemented as an augmented reality application prototype. Experts can interactively combine the computational capabilities of layout simulations with their experience allowing to consider possibly unmodeled restrictions. Our interactive approach is enhanced by automated layout suggestions using a genetic algorithm as well as an automated layout comparison. Further, we provide information about the layout's optimization potential based on the calculation and visualization of critical paths in the layout.

KW - Augmented Reality

KW - Industrie 4.0

KW - Visual Analytics

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DO - 10.1016/j.procir.2018.03.200

M3 - Conference article

AN - SCOPUS:85049590992

SN - 2212-8271

VL - 72

SP - 1112

EP - 1117

JO - Procedia CIRP

JF - Procedia CIRP

T2 - 51st CIRP Conference on Manufacturing Systems, CIRP CMS 2018

Y2 - 16 May 2018 through 18 May 2018

ER -

Immersive Modular Factory Layout Planning using Augmented Reality

Abstract

Keywords

ASJC Scopus subject areas

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