Journal article

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



Publication Details
Authors:
Gliem, D.; Jessen, U.; Wenzel, S.; Kusturica, W.; Laroque, C.

Publication year:
2022
Journal:
Logistics Research
Pages range :
1-29
Volume number:
15
Issue number:
5
ISSN:
1865-035X
eISSN:
1865-0368
DOI-Link der Erstveröffentlichung:
Languages:
English


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. 



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

Last updated on 2023-31-05 at 09:30