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Adoption of big data analytics in supply chain management : combining organizational factors with supply chain connectivity

Alsadi, Amin Khalil; Alaskar, Thamir Hamad; Mezghani, Karim - In: International journal of information systems and supply … 14 (2021) 2, pp. 88-107

Persistent link: https://www.econbiz.de/10012520748

The future and social impact of Big Data Analytics in Supply Chain Management : results from a Delphi study

Roßmann, Bernhard; Canzaniello, Angelo; Gracht, Heiko … - In: Technological forecasting & social change : an … 130 (2018), pp. 135-149

Persistent link: https://www.econbiz.de/10011958299

Multiple sourcing in single- and multi-echelon inventory systems

Klosterhalfen, Steffen T. - 2010

Persistent link: https://www.econbiz.de/10008749997

Spare parts inventory control under system availability constraints

Houtum, Geert-Jan van; Kranenburg, Bram - 2015

Persistent link: https://www.econbiz.de/10011342463

Spare Parts Inventory Control under System Availability Constraints

van Houtum, Geert-Jan - 2015

the Graduate Program Operations Management and Logistics (a Dutch network that organizes PhD courses in the field of OM …

Persistent link: https://www.econbiz.de/10014425747

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

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

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

Evaluation of data quality in dimensioning capacity

Vliegen, Lea; Moroff, Nikolas Ulrich; Riehl, Katharina - In: Data science and innovation in supply chain management …, (pp. 355-394). 2020

Purpose: This paper aims to give an overview of the current state of research on measuring data quality. The identified methods will be applied to the task of dimensioning capacities (e.g. warehouse capacities) in the field of supply chain design (SCD) to further increase trust in decision...

Persistent link: https://www.econbiz.de/10012388018

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

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