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Product lifecycle optimization by application of process mining
Meßner, Marco; Dirnberger, Johannes - In: Data science and innovation in supply chain management …, (pp. 295-315). 2020
Purpose: Active product life cycle management contributes to supply chain optimization. However, in nowadays industry the high number of variants and backward loops complicate tracing the entire product lifecycle in an ERP system. Consequently, product lifecycle and corresponding...
Persistent link: https://www.econbiz.de/10012388084
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A systematic classification of database solutions for data mining to support tasks in supply chains
Hunker, Joachim; Scheidler, Anne Antonia; Rabe, Markus - In: Data science and innovation in supply chain management …, (pp. 395-425). 2020
Purpose: Our research shows that considering well suited NoSQL databases is beneficial for logistics tasks. For … these issues. Methodology: This paper discusses Data Mining in the context of Supply Chain Management tasks in logistics and … in logistics is a very promising approach. The research is based on a case study, whose core element is the analysis of …
Persistent link: https://www.econbiz.de/10012388130
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Data science and innovation in supply chain management : how data transforms the value chain
Kersten, Wolfgang (ed.); Blecker, Thorsten (ed.);  … - Hamburg International Conference of Logistics <2020, … - 2020 - 1st edition
This volume contains research contributions by an international group of authors addressing innovative and technology-based approaches for supply chain management. They present business models and investment options for enhanced strategic decision making as well as recent approaches for supply...
Persistent link: https://www.econbiz.de/10012387153
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Product modularization in integrated supply chains : a product life-cycle phase specific concept for effect allocation
Brylowski, Martin; Ludwig, Maximilian; Kersten, Wolfgang; … - In: Data science and innovation in supply chain management …, (pp. 25-76). 2020
Purpose: Product modularization and supply chain integration have establishedthemselves as efficient methods for complexity management, but a holistic view oftheir effects has rarely been studied. For this reason, we demonstrate a conceptwhich presents these effects along the product life-cycle...
Persistent link: https://www.econbiz.de/10012387162
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Enhancing B2B supply chain traceability using smart contracts and IoT
Ahmed, Mohamed; Taconet, Chantal; Ould, Mohamed; … - In: Data science and innovation in supply chain management …, (pp. 559-589). 2020
Purpose: The management of B2B supply chains that involve many stakeholders re-quires traceability processes. Those processes need to be secured. Furthermore, quality traceability data has to be transparently shared among the stakeholders. In order to improve the traceability process, we propose...
Persistent link: https://www.econbiz.de/10012387382
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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
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Success factors for online food retail logistics
Beckmann, Anne; Kleineidam, Julia; Straube, Frank - In: Data science and innovation in supply chain management …, (pp. 852-873). 2020
. The common approach of using traditional logistics systems and fulfilment concepts does not lead to long-term success. Con … research areas of e-commerce and of lo-gistics and supply chain management, especially online food supply chains. In this area …
Persistent link: https://www.econbiz.de/10012387384
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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
Purpose: The aerospace supply chain is characterized by a high degree of small andmedium-sized suppliers. To stay competitive, suppliers are facing high pressures todigitalize their business but have limited resources available. Furthermore, aerospacesuppliers lack a framework to measure their...
Persistent link: https://www.econbiz.de/10012387385
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Impact of notification time on risk mitigation in inland waterway transport
Gast, Johannes; Wehrle, Rebecca; Wiens, Marcus; … - In: Data science and innovation in supply chain management …, (pp. 247-278). 2020
affect maintenance and logistics operations in inland waterway transport. Second, this research analyses the notification … notification times on logistics oper-ations and determines the planning reliability for all parties involved. Data analysis found …
Persistent link: https://www.econbiz.de/10012387386
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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