التفاصيل البيبلوغرافية
| العنوان: |
Human resource optimisation through semantically enriched data. |
| المؤلفون: |
Arena, Damiano, Tsolakis, Apostolos Charalampos, Zikos, Stylianos, Krinidis, Stelios, Ziogou, Chrysovalantou, Ioannidis, Dimosthenis, Voutetakis, Spyros, Tzovaras, Dimitrios, Kiritsis, Dimitris |
| المصدر: |
International Journal of Production Research; Apr2018, Vol. 56 Issue 8, p2855-2877, 23p, 3 Color Photographs, 10 Diagrams, 4 Charts, 3 Graphs |
| مصطلحات موضوعية: |
INDUSTRY 4.0, PERSONNEL management, BUILDING information modeling, ONTOLOGIES (Information retrieval), BUSINESS models, INDUSTRIAL revolution |
| مستخلص: |
The industrial domain is experiencing a so-called fourth industrial revolution in which the evergrowing complexity of manufacturing information, the increasing amount of knowledge and the use of web-oriented techniques, represent three crucial factors that are accelerating the growth of complexity of industrial systems. On the other hand, continuous-evolving requirements in industrial environments, due to technology outbreaks and a new global marketplace, have led to an on-going evolution of human resource management through the creation and adoption of alternative business models. In the past decade, semantic models such as ontologies have been proven to be effective for many knowledge-intensive applications, since they provide formal models of domain knowledge that can be exploited in different ways. For all these reasons, an innovative human resource optimisation (HRO) engine is introduced, which employs semantically enhanced information and conditional random field (CRFs) probabilistic models with knowledge derived from industrial shop floor level, and proposes the right person for the right job in real-time shop floor operations towards optimising decisions on how to implement and schedule either repeatedly or non-occurring tasks. Industrial information data flow and semantic enrichment were ensured through the combined use of a common interface data exchange model (CIDEM) and ontologies, after which a feasibility study at a chemical plant presented interesting preliminary results. [ABSTRACT FROM AUTHOR] |
|
Copyright of International Journal of Production Research is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) |
| قاعدة البيانات: |
Complementary Index |
PDF full text from Publisher 
Full Text Finder