Fabrik-und produktionsplanung im digitalen modell durch automatisierte punktwolkenverarbeitung

Dominik Melcher; Benjamin Küster; Malte Stonis; Ludger Overmeyer

doi:10.2195/lj_Proc_melcher_de_201912_01

Fabrik-und produktionsplanung im digitalen modell durch automatisierte punktwolkenverarbeitung

Translated title of the contribution: Factory and production planning in the digital model through automated point cloud processing

Dominik Melcher^*
, Benjamin Küster
, Malte Stonis
, Ludger Overmeyer

^*Corresponding author for this work

Institut für integrierte Produktion Hannover (IPH)

Research output: Contribution to journal › Article › Research › peer review

Abstract

The structured and future-orientated planning of factory layouts is an important factor in maintaining the competitive ability. However, conventional planning methods with 2D Layouts reach their limits because they can no longer map the increasingly complex factory structures in detail. Alternatives are offered by 360° environmental scanning methods, which currently only serve as a template for post-modeling. This article presents a method for planning directly in the factory image. The aim is to make the factory planning process more effective and less error-prone.

Translated title of the contribution	Factory and production planning in the digital model through automated point cloud processing
Original language	German
Journal	Logistics Journal
Volume	2019
DOIs	https://doi.org/10.2195/lj_Proc_melcher_de_201912_01
Publication status	Published - 2019
Externally published	Yes

ASJC Scopus subject areas

Management Information Systems
Control and Systems Engineering
Management Science and Operations Research

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10.2195/lj_Proc_melcher_de_201912_01Licence: Other

Cite this

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title = "Fabrik-und produktionsplanung im digitalen modell durch automatisierte punktwolkenverarbeitung",

abstract = "The structured and future-orientated planning of factory layouts is an important factor in maintaining the competitive ability. However, conventional planning methods with 2D Layouts reach their limits because they can no longer map the increasingly complex factory structures in detail. Alternatives are offered by 360° environmental scanning methods, which currently only serve as a template for post-modeling. This article presents a method for planning directly in the factory image. The aim is to make the factory planning process more effective and less error-prone.",

keywords = "3D-factory layout, 3D-factory layout scan, Factory planning, Point cloud processing, Point cloud segmentation, Production planning",

author = "Dominik Melcher and Benjamin K{\"u}ster and Malte Stonis and Ludger Overmeyer",

year = "2019",

doi = "10.2195/lj\_Proc\_melcher\_de\_201912\_01",

language = "Deutsch",

volume = "2019",

journal = "Logistics Journal",

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T1 - Fabrik-und produktionsplanung im digitalen modell durch automatisierte punktwolkenverarbeitung

AU - Melcher, Dominik

AU - Küster, Benjamin

AU - Stonis, Malte

AU - Overmeyer, Ludger

PY - 2019

Y1 - 2019

N2 - The structured and future-orientated planning of factory layouts is an important factor in maintaining the competitive ability. However, conventional planning methods with 2D Layouts reach their limits because they can no longer map the increasingly complex factory structures in detail. Alternatives are offered by 360° environmental scanning methods, which currently only serve as a template for post-modeling. This article presents a method for planning directly in the factory image. The aim is to make the factory planning process more effective and less error-prone.

AB - The structured and future-orientated planning of factory layouts is an important factor in maintaining the competitive ability. However, conventional planning methods with 2D Layouts reach their limits because they can no longer map the increasingly complex factory structures in detail. Alternatives are offered by 360° environmental scanning methods, which currently only serve as a template for post-modeling. This article presents a method for planning directly in the factory image. The aim is to make the factory planning process more effective and less error-prone.

KW - 3D-factory layout

KW - 3D-factory layout scan

KW - Factory planning

KW - Point cloud processing

KW - Point cloud segmentation

KW - Production planning

UR - https://www.scopus.com/pages/publications/85084703686

U2 - 10.2195/lj_Proc_melcher_de_201912_01

DO - 10.2195/lj_Proc_melcher_de_201912_01

M3 - Artikel

AN - SCOPUS:85084703686

SN - 1860-7977

VL - 2019

JO - Logistics Journal

JF - Logistics Journal

ER -

Fabrik-und produktionsplanung im digitalen modell durch automatisierte punktwolkenverarbeitung

Abstract

ASJC Scopus subject areas

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