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  4. Evaluating ecological sustainability for the planning and operations of storage technologies
 
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Evaluating ecological sustainability for the planning and operations of storage technologies

Publikationstyp
Conference Paper
Date Issued
2023
Sprache
English
Author(s)
Braun, Philipp Maximilian  orcid-logo
Technische Logistik W-6  
Rose, Hendrik Wilhelm 
Technische Logistik W-6  
Hesslein, Niklas  orcid-logo
Technische Logistik W-6  
Vadapalli, Harsha
Hinckeldeyn, Johannes  orcid-logo
Technische Logistik W-6  
Kreutzfeldt, Jochen  orcid-logo
Technische Logistik W-6  
TORE-URI
https://hdl.handle.net/11420/42728
First published in
Number in series
4
Start Page
128
End Page
138
Citation
4th Conference on Production Systems and Logistics, CPSL 2023: 128-138
Contribution to Conference
4th Conference on Production Systems and Logistics, CPSL 2023  
Publisher DOI
10.15488/13432
Scopus ID
2-s2.0-85164438715
Publisher
Publish-Ing in cooperation with TIB - Leibniz Information Centre for Science and Technology University Library
With an expected future increase of costs for carbon emissions the logistics industry is targeting to design sustainable warehouses to reduce their carbon footprints. To do so, it is required that every aspect of a warehouse from its general design to the transport processes and technologies must be assessed in terms of its carbon footprint. In this article the carbon footprint, which can be traced back to the storage technology employed within a storage area is analysed. The approach includes surface, material, and technology-related data to calculate the carbon footprint of a logistics concept. Firstly, different dimensions of storage technology carbon footprints are identified. A comprehensive model is provided to calculate the carbon footprint of alternative storage technologies in a warehouse. The model is applied in a case study with actual data from a warehouse planning project in the German production industry comparing three alternative storage technologies for a small part storage solution. The author’s find highest carbon footprint in the application of an autonomous guided vehicle shelving system compared to automatic storage and retrieval system and manual storage solution using Kanban racks.
Subjects
Carbon emissions
Ecological sustainability
Storage technologies
Warehouse planning
DDC Class
600: Technology
TUHH
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