期刊
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
卷 45, 期 7, 页码 1505-1519出版社
TAYLOR & FRANCIS LTD
DOI: 10.1080/00207540600942268
关键词
product lifecycle management; decision support; manufacturing knowledge sharing; ontologies
资金
- Economic and Social Research Council [RES-331-27-0006] Funding Source: researchfish
- Engineering and Physical Sciences Research Council [EP/C534220/1] Funding Source: researchfish
- ESRC [RES-331-27-0006] Funding Source: UKRI
The drive to maximize the potential benefits of decision support systems continues to increase as industry is continually driven by the competitive needs of operating in dynamic global environments. The more extensive information support tools which are becoming available in the PLM world appear to have great potential but require a substantial overhead in their configuration. However, sharing information and knowledge in cross-disciplinary teams and across system and company boundaries is not straightforward and there is a clear need for more effective frameworks for information and knowledge sharing if new product development processes are to have effective ICT support. This paper presents a view of the current status of manufacturing information sharing using light-weight ontologies and goes on to discuss the potential for heavyweight ontological engineering approaches such as the Process Specification Language (PSL). It explains why such languages are needed and how they provide an important step towards process knowledge sharing. Machining examples are used to illustrate how PSL provides a rigorous basis for process knowledge sharing and subsequently to illustrate the value of linking foundation and domain ontologies to provide a basis for multi-context knowledge sharing.
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