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Smart logistics based on the internet of things technology : an overview

Ding, Yangke; Jin, Mingzhou; Li, Sen; Feng, Dingzhong - In: International journal of logistics : research and … 24 (2021) 4, pp. 323-345

Persistent link: https://www.econbiz.de/10012608894

Smart logistics and data-driven decision-making processes in cyber-physical manufacturing systems

Sheares, Gavin - In: Economics, management and financial markets 15 (2020) 1, pp. 33-39

Persistent link: https://www.econbiz.de/10012239653

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

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

Realization and validation of a collaborative automated picking system

Rieder, Mathias; Verbeet, Richard - In: Data science and innovation in supply chain management …, (pp. 521-558). 2020

Purpose: A picking system is presented ensuring order fulfilment and enabling transformation from manual to automated picking using a continuous learning process. It is based on Machine Learning for object detection and realized by a human-robot collaboration to meet requirements for flexibility...

Persistent link: https://www.econbiz.de/10012388108

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