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Title: An exploration of key information models and their relationships in global manufacturing decision support
Authors: Liu, Shaofeng
Young, R.I.M.
Keywords: Information and knowledge modelling
Product lifecycle management
Multiple relationships
Global manufacturing
Decision support
Issue Date: 2007
Publisher: Professional Engineering Publishing / © IMECHE
Citation: LIU, S. and YOUNG, R.I.M., 2007. An exploration of key information models and their relationships in global manufacturing decision support. Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, 221(4), pp. 711-724.
Abstract: Global manufacturing businesses are beginning to benefit from the information and knowledge support provided by modern IT tools such as Product Lifecycle Management (PLM), Enterprise Resource Planning (ERP), and Customer Relations Management (CRM). Many types of information and knowledge, from customer requirements through product information to global enterprise manufacturing capability are involved in global manufacturing decisions. Understanding the appropriate structures and relationships for this information and knowledge is a significant issue if effective wide-ranging support is to be provided. This paper focuses on global manufacturing decision support and explores three key types of information and knowledge relationship: (a) relationships between information and knowledge elements within a single information and knowledge model; (b) relationships between different information and knowledge models at one organizational level; (c) relationships between different information and knowledge models at different organizational levels. The corresponding information and knowledge structures have been presented with Unified Modelling Language (UML) to show the multiplicity of relationship required, and these are explored with an experimental system based on Rational Unified Process, Visual C++, and object-oriented DBMS ObjectStore. A case study has been pursued to explore the application of the information and knowledge models to a real industry environment.
Description: This is an article from the journal, Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture [© IMechE ]. It is also available at: http://dx.doi.org/10.1243/09544054JEM531
Version: Published
DOI: 10.1243/09544054JEM531
URI: https://dspace.lboro.ac.uk/2134/4763
ISSN: 0954-4054
Appears in Collections:Published Articles (Mechanical and Manufacturing Engineering)

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