In this paper, we consider the difficulties faced by manufacturing companies and their response in terms of the emergence of the Extended Enterprise. We argue that the Extended Enterprise represents the context within which manufacturing systems research must be conducted and we identify what we consider to be the key topics for future manufacturing systems research and development. 1. THE MANUFACTURING SYSTEMS ENVIRONMENT Today's manufacturing enterprise operates in a tremendously competitive environment. This competitive environment arises from a series of underlying realities viz: Global markets Customers demanding high quality, low cost and fast delivery of increasingly customised products-mass customisation. The need to develop environmentally benign products and processes.

No abstract

Abstract.Various techniques for learning meronymy relationships from opendomain corpora exist. However, extracting meronymy relationships from domain-specific, textual corporate databases has been overlooked, despite numerous application opportunities particularly in domains like product development and/or customer service. These domains also pose new scientific challenges, such as the absence of elaborate knowledge resources, compromising the performance of supervised meronymy-learning algorithms. Furthermore, the domain-specific terminology of corporate texts makes it difficult to select appropriate seeds for minimally-supervised meronymylearning algorithms. To address these issues, we develop and present a principled approach to extract accurate meronymy relationships from textual databases of product development and/or customer service organizations by leveraging on reliable meronymy lexico-syntactic patterns harvested from an open-domain corpus. Evaluations on real-life corporate databases indicate that our technique extracts precise meronymy relationships that provide valuable operational insights on causes of product failures and customer dissatisfaction. Our results also reveal that the types of some of the domain-specific meronymy relationships, extracted from the corporate data, cannot be conclusively and unambiguously classified under well-known taxonomies of relationships.

No abstract

No abstract