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Year of publication
Subject
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Lieferkette 6 Supply chain 6 Logistics 5 Logistik 5 Artificial intelligence 3 Blockchain 3 Künstliche Intelligenz 3 Logistics provider 3 Logistikunternehmen 3 Digitalisierung 2 Digitization 2 Theorie 2 Theory 2 Aerospace industry 1 Air transport 1 Aircraft 1 Algorithm 1 Algorithmus 1 Arbeitsnachfrage 1 Auftragsabwicklung 1 Bibliometrics 1 Bibliometrie 1 Bottleneck 1 Business process management 1 Cognition 1 Communication 1 Cybersecurity 1 Data security 1 Datensicherheit 1 Demand 1 Deutschland 1 Disruption management 1 Disruptive Innovation 1 Disruptive innovation 1 Early warning system 1 Engpass 1 Fachkräfte 1 Forecasting model 1 Forschung 1 Frühwarnsystem 1
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Free 19
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Article 19
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Aufsatz im Buch 19 Book section 19 Conference paper 19 Konferenzbeitrag 19
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English 19
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Sardesai, Saskia 2 Abril Juzga, Kevin Alberto 1 Bierwirth, Benjamin 1 Brylka, Robert 1 Cirullies, Jan 1 Diedrich, Katharina 1 Espitia Rincon, Maria Paula 1 Feldt, Julia 1 Fittinghoff, Markus 1 Gietzen, Thomas 1 Gürpinar, Tan 1 Haße, Hendrik 1 Hinckeldeyn, Johannes 1 Hofbauer, Florian 1 Jacob, Axel 1 Klingebiel, Katja 1 Klumpp, Matthias 1 Kontny, Henning 1 Kreutzfeldt, Jochen 1 Kriehn, Thomas 1 Kühn, Oliver 1 Li, Bin 1 Lopéz, Daniel Andrés 1 Loro, Camillo 1 Mangiaracina, Riccardo 1 Meyer-Larsen, Nils 1 Miralmasi, Aida 1 Moroff, Nikolas Ulrich 1 Müller, Julian 1 Müller, Rainer 1 Neukirchen, Thomas 1 Niehues, Stephanie 1 Otto, Boris 1 Perego, Alessandro 1 Petersen, Moritz 1 Putz, Lisa-Maria 1 Rieder, Mathias 1 Sanabria Martínez, David Alejandro 1 Santos Hernández, Andrés Felipe 1 Schloz, Franziska 1
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Artificial intelligence and digital transformation in supply chain management : innovative approaches for supply chains 19
Source
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ECONIS (ZBW) 19
Showing 1 - 10 of 19
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Digital logistics, strategic cognitive readiness and employee training
Neukirchen, Thomas; Klumpp, Matthias - In: Artificial intelligence and digital transformation in …, (pp. 117-150). 2019
Purpose: We consider long-term structural implementation risks connected to digitalization in production and logistics. Similar to considerations regarding automation, we identify areas of potential corporate benefits and corresponding necessary adjustments in task descriptions and employee...
Persistent link: https://www.econbiz.de/10012158245
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Robot-human-learning for robotic picking processes
Rieder, Mathias; Verbeet, Richard - In: Artificial intelligence and digital transformation in …, (pp. 87-114). 2019
Purpose: This research paper aims to create an environment which enables robots to learn from humans by algorithms of Computer Vision and Machine Learning for object detection and gripping. The proposed concept transforms manual picking to highly automated picking performed by robots....
Persistent link: https://www.econbiz.de/10012158246
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Sharing information across company borders in industry 4.0
Voigt, Kai-Ingo; Müller, Julian; Veile, Johannes; … - In: Artificial intelligence and digital transformation in …, (pp. 57-85). 2019
Purpose: Industry 4.0's potentials can only unfold exhaustively if information is shared across company boarders and along supply chains. Exchanging information, however, implies several challenges for companies. This holds especially true if it is transmitted automatically and digitally, as...
Persistent link: https://www.econbiz.de/10012158247
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A quantitative assessment of the collaborative logistics benefits
Loro, Camillo; Mangiaracina, Riccardo; Tumino, Angela; … - In: Artificial intelligence and digital transformation in …, (pp. 187-222). 2019
Purpose: The purpose of this analysis is to study the Collaborative Logistics process, its implementation within the Consumer Electronics and Household Appliances Supply Chain and to assess the benefits stemming from it. Methodology: To achieve the objectives the Activity-Based-Cost logic has...
Persistent link: https://www.econbiz.de/10012158248
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Algorithm for situation-dependent adaptation of velocity for shuttle based systems
Kriehn, Thomas; Schloz, Franziska; Schulz, Robert; … - In: Artificial intelligence and digital transformation in …, (pp. 223-264). 2019
Purpose: Shuttle based storage and retrieval systems (SBS/RS) are suitable for applications which require a high throughput. Many times, however, the maximum performance of SBS/RS is not required. For example, when customers initiate a large number of retrieval requests at a specific time, or...
Persistent link: https://www.econbiz.de/10012158249
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Disruptive technologies : integration in existing supply chain processes
Niehues, Stephanie; Gürpinar, Tan - In: Artificial intelligence and digital transformation in …, (pp. 265-296). 2019
Purpose: Based on technological progress, companies innovate and design a variety of new processes to be implemented in order to gain a competitive advantage. Nevertheless, many companies face issues during the initial integration of these emerging technologies with their existing business...
Persistent link: https://www.econbiz.de/10012158250
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Can gamification reduce the shortage of skilled logistics personnel?
Hofbauer, Florian; Putz, Lisa-Maria - In: Artificial intelligence and digital transformation in …, (pp. 331-354). 2019
Purpose: The logistics sector faces a worldwide shortage of skilled personnel. Gamification represents a new approach to attract people's interest by applying game elements in a non-game context. In our study, we develop a theoretical framework to improve the image of the logistics sector using...
Persistent link: https://www.econbiz.de/10012158251
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Machine learning in demand planning : cross-industry overview
Moroff, Nikolas Ulrich; Sardesai, Saskia - In: Artificial intelligence and digital transformation in …, (pp. 355-383). 2019
Purpose: This paper aims to give an overview about the current state of research in the field of machine learning methods in demand planning. A cross-industry analysis for current machine learning approaches within the field of demand planning provides a decision-making support for the...
Persistent link: https://www.econbiz.de/10012158252
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Prototype for a permissioned blockchain in aircraft MRO
Schyga, Jakob; Hinckeldeyn, Johannes; Kreutzfeldt, Jochen - In: Artificial intelligence and digital transformation in …, (pp. 469-505). 2019
Purpose: The paper aims to show strengths, weaknesses and challenges in the application of Blockchain technology for aircraft maintenance, repair and overhaul (MRO). The analysis is based on a prototype of a permissioned Blockchain for the maintenance documentation of aircraft and their...
Persistent link: https://www.econbiz.de/10012158253
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Impact and beneficiaries of blockchain in logistics
Twenhöven, Thomas; Petersen, Moritz - In: Artificial intelligence and digital transformation in …, (pp. 443-468). 2019
Purpose: Blockchain in logistics is slowly moving beyond the hype. Against this background, we investigate the current expectations concerning the impact and possible beneficiaries of Blockchain applications in the logistics services industry. Methodology: We conduct an online survey among...
Persistent link: https://www.econbiz.de/10012158254
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