Autor: Wibke Kusturica

Digitalization of Logistics Processes on Construction Sites

Digitalization of Logistics Processes on Construction Sites

Concept for the creation and use of a digital shadow for construction site logistics in mechanical and plant engineering
Sigrid Wenzel ORCID Icon, Daniel Vössing ORCID Icon, Deike Gliem ORCID Icon, Christoph Laroque ORCID Icon, Wibke Kusturica ORCID Icon
The planning of logistics processes and their efficient implementation are decisive competitive factors for customized plant construction. On the construction site, however, the collection of logistics data is often neglected, preventing the project planner from building a reliable database. Related information gaps can be closed with the help of a digital shadow that collects logistics-relevant data (partially) automatically, stores them in a consistent manner and makes them available to project management. This article describes the first important results of a research project on information and communication processes in construction site logistics and explains their vital role in the development and use of a digital shadow.
Industry 4.0 Science | Volume 39 | 2023 | Edition 1 | Pages 53-58 | DOI 10.30844/I4SE.23.1.53
DataLab WestSax – R&D Setting for Regional Data-based Value Creation Experiments

DataLab WestSax - R&D Setting for Regional Data-based Value Creation Experiments

Ein regionaler Katalysator für datenbasierte Wertschöpfungsprozesse
Christian Leyh, Wibke Kusturica ORCID Icon, Sarah Neuschl, Christoph Laroque ORCID Icon
New types of value creation characterized by extensive data use and cross-company data sharing are becoming increasingly important for companies. However, many barriers slow down the path towards data-based value creation, especially for SMEs. Companies often lack specific ideas for data usage or digitalization and data competencies. As a result, there is often untapped value creation potential in companies. By describing a real laboratory setting with real experiments, this article demonstrates support options for companies to identify their own "data treasure" and to lift it.
Industrie 4.0 Management | Volume 38 | 2022 | Edition 6 | Pages 37-41 | DOI 10.30844/IM_22-6_37-41
Reliable Forecast of Logistic Process Durations

Reliable Forecast of Logistic Process Durations

Einflüsse auf die Dauer von Logistikprozessen der Unikat- und Kleinserienfertigung
Sigrid Wenzel ORCID Icon, Deike Gliem ORCID Icon, Christoph Laroque ORCID Icon, Wibke Kusturica ORCID Icon
One-of-a-kind or small batch manufacturer can only derive process times from previous projects to a limited extent for the planning of customer order and component-specific projects and transfer these to new projects. This is due to the fact that the process times depend on influencing parameters that are directly related to the respective component. As part of a research project, these influencing parameters to the duration for logistic processes are examined. The identification of the influencing parameters using a Delphi Study is explained in this article.
Industrie 4.0 Management | Volume 34 | 2018 | Edition 5 | Pages 43-46