Aufsatz in einer Fachzeitschrift

Ontology-based Forecast of the Duration of Logistics Processes in One-of-a-Kind Production in SME



Details zur Publikation
Autor(inn)en:
Gliem, D.; Jessen, U.; Wenzel, S.; Kusturica, W.; Laroque, C.

Publikationsjahr:
2022
Zeitschrift:
Logistics Research
Seitenbereich:
1-29
Jahrgang/Band :
15
Heftnummer:
5
ISSN:
1865-035X
eISSN:
1865-0368
DOI-Link der Erstveröffentlichung:
Sprachen:
Englisch


Zusammenfassung, Abstract

Due to severe global competition, the project management process for one-of-a-kind production must aim for better risk management and higher efficiency. Despite being critical in order to forecast the duration of logistics processes, intra-enterprise knowledge, historical data from past projects as well as simulation models are not sufficiently utilized in today´s practices. To improve the project planning for one-ofa-kind production, a systematic modeling concept and a technical solution approach are developed, which are based on logistics reference processes and an ontology, as a major part of the overall systematic. This paper focuses on the development of the basic structure of the ontology. A use case applies the ontology within a project management toolset to highlight the potentials for process duration forecasting in project management. 



Schlagwörter
duration of logistics processes, forecast, methodology toolbox, one-of-a-kind production, ontology


Autor(inn)en / Herausgeber(innen)

Zuletzt aktualisiert 2023-31-05 um 09:30