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: |
URN / URL: |
Sprachen: | Englisch |
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
Projekte