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  • Search: person:"Peng, Shengrui"
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Year of publication
Subject
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City Logistics 2 Data Science 2 Industry 4.0 2 Logistics 2 Maritime Logistics 2 Supply Chain Management 2 Sustainability 2 Lieferkette 1 Logistics provider 1 Logistik 1 Logistikunternehmen 1 Supply chain 1
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Online availability
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Free 2 CC license 1
Type of publication
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Article 1 Book / Working Paper 1
Type of publication (narrower categories)
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Aufsatz im Buch 1 Book section 1 Conference Paper 1 Conference paper 1 Konferenzbeitrag 1
Language
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English 2
Author
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Freitag, Michael 2 Lütjen, Michael 2 Peng, Shengrui 2 Rippel, Daniel 2 Sczcerbicka, Helena 2
Published in...
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Data science in maritime and city logistics : data-driven solutions for logistics and sustainability 1
Source
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ECONIS (ZBW) 1 EconStor 1
Showing 1 - 2 of 2
Cover Image
Model transformation framework for scheduling offshore logistics
Rippel, Daniel; Peng, Shengrui; Lütjen, Michael; … - In: Data science in maritime and city logistics : …, (pp. 521-552). 2020
Purpose: Wind energy is a promising technology to produce sustainable energy. While higher wind speeds at sea result in higher energy production, they also impede the installation of wind farms. Several authors proposed optimization- or simulation-based scheduling models. This article provides a...
Persistent link: https://www.econbiz.de/10012388639
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Cover Image
Model transformation framework for scheduling offshore logistics
Rippel, Daniel; Peng, Shengrui; Lütjen, Michael; … - 2020
Purpose: Wind energy is a promising technology to produce sustainable energy. While higher wind speeds at sea result in higher energy production, they also impede the installation of wind farms. Several authors proposed optimization- or simulation-based scheduling models. This article provides a...
Persistent link: https://www.econbiz.de/10012420772
Saved in:
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