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Blockchain technology in Germany : an excerpt of real use cases in logistics industry

Bartsch, Devis; Winkler, Herwig - In: Data science and innovation in supply chain management …, (pp. 699-735). 2020

Purpose: Due to the large number of intermediaries in logistics networks there is avariety of possible failures … distribution of applications and economic benefits alongthe logistics chain. Furthermore, important conclusions on implementation … companies. Initial comparisons betweencurrently used and blockchain-based logistics networks are also possible. …

Persistent link: https://www.econbiz.de/10012387383

A holistic digitalization KPI framework for the aerospace industry

Krol, Felix; Saeed, Muhammad Amad; Kersten, Wolfgang - In: Data science and innovation in supply chain management …, (pp. 798-847). 2020

, aerospacesuppliers lack a framework to measure their current state of digitalization.Therefore, this paper provides a holistic … digitalization KPI framework for manufacturingaerospace companies. Methodology: The framework is based on a top-down and bottom …-up developmentapproach. Within the top-down approach, 42 digitalization maturity models are beinganalyzed to identify relevant dimensions. To …

Persistent link: https://www.econbiz.de/10012387385

Blockchain technology : integration in supply chain processes

Gürpinar, Tan; Harre, Sophie; Henke, Michael; Saleh, Farah - In: Data science and innovation in supply chain management …, (pp. 153-185). 2020

Purpose: Supply chain networks face an increasing demand to integrate globally distributedcustomers and suppliers. As supply chain processes are deemed to lack sufficienttransparency and security, blockchain solutions are piloted to offer an IT infrastructurecovering these needs. This paper aims...

Persistent link: https://www.econbiz.de/10012387387

Impacts of a smart factory on procurement logistics

Zander, Bennet; Lange, Kerstin; Haasis, Hans-Dietrich - In: Data science and innovation in supply chain management …, (pp. 459-485). 2020

Purpose: In order to keep up with the automation Smart Factories will bring into the market, procurement logistics has … procurement processes as well as the further role of logistics service providers in the procurement network with references to the … art of its procurement logistics current gaps are identified. Subsequently, a modified concept for the delivery of the …

Persistent link: https://www.econbiz.de/10012388001

Application of agile methods in traditional logistics companies and logistics start-ups: first results from a German Delphi study

Zielske, Malena; Held, Tobias - In: Data science and innovation in supply chain management …, (pp. 187-219). 2020

companies and startups increases their agility by using agile methods. The logistics industry in particular is known to be a … study conducted is to assess how traditional logistics companies and logistics startups use agile methods in their IT … the first results, insights can be gained on the following points covering traditional logistics companies and logistics …

Persistent link: https://www.econbiz.de/10012388021

How disruptive start-ups change the world of warehouse logistics

Feldt, Julia; Kontny, Henning; Niemietz, Frank - In: Data science and innovation in supply chain management …, (pp. 3-24). 2020

Purpose: New technical solutions in logistics change the ways of working within warehouses on different levels, from … multiple case study approach was used. To gain a deeper un-derstanding of the changes within logistics processes, the results …

Persistent link: https://www.econbiz.de/10012388082

A procedural model for exoskeleton implementation in intralogistics

Feldmann, Carsten; Kaupe, Victor; Lucas, Martin - In: Data science and innovation in supply chain management …, (pp. 113-151). 2020

such as demographic transitions and skills shortages in logistics. The procedural model closes a research gap from a …

Persistent link: https://www.econbiz.de/10012388093

Impact of digitalization on logistics provider business models

Stradner, Sascha; Brunner, Uwe - In: Data science and innovation in supply chain management …, (pp. 911-938). 2020

Purpose: Digitalization and its technologies enables especially logistics startups to enter the market with low … enterprises. Methodology: For this purpose, an overview of the market development and the fundamental re-thinking of logistics …

Persistent link: https://www.econbiz.de/10012388112

Framing supply chain visibility through a multi-field approach

Lechaptois, Lucie - In: Data science and innovation in supply chain management …, (pp. 487-519). 2020

Purpose: Supply chain management (SCM) literature places great importance on supply chain visibility (SCV) and companies are looking to improve it. While better SCV offers benefits to supply chain (SC) actors, SCV is not clearly defined and little is said about how to achieve it. Our aim is to...

Persistent link: https://www.econbiz.de/10012388163

Identification of sociotechnical changes caused by Industry 4.0

Schnasse, Felix; Menzefricke, Jörn Steffen; Gabriel, Stefan - In: Data science and innovation in supply chain management …, (pp. 625-660). 2020

Purpose: Industry 4.0 provides significant potentials for companies. Despite the promising opportunities, companies, especially SME, are still hesitant to implement new technologies. The main reasons are far-reaching changes with respect to the socio-technical dimensions causing risks that are...

Persistent link: https://www.econbiz.de/10012388168