36 resultados para Resource Boom
Resumo:
Describes a study that set out to evaluate the performance impact of a SAP R3 implementation. The SAP system was implemented by a major multinational business in four of its European plants. Qualitative and quantitative data were collected over a two-year period, through surveys and interviews with systems users and by accessing company records. While users were able to identify the operational benefits of SAP, they were still doubtful at the end of the evaluation process whether the system had resulted in any significant positive financial benefits for the business. Two themes related to this observation are explored. First the time lag between operational improvements and subsequent financial impact. Second the importance of learning as a means of reducing the time lag. Learning in this context is a multi-dimensional concept and covers learning how to use the system, learning how to improve the system and learning how to improve the implementation process.
Resumo:
This paper focuses on the physical resource coordination problem for reconfigurable manufacturing systems. It establishes requirements for physical resource coordination to support highly reconfigurable manufacturing systems, and uses two illustrative examples to illustrate critical issues that must be considered. Finally, an approach to part of the physical resource coordination mechanism for reconfigurable systems is presented. Copyright © 2006 IFAC.
Resumo:
We present a new online psycholinguistic resource for Greek based on analyses of written corpora combined with text processing technologies developed at the Institute for Language & Speech Processing (ILSP), Greece. The "ILSP PsychoLinguistic Resource" (IPLR) is a freely accessible service via a dedicated web page, at http://speech.ilsp.gr/iplr. IPLR provides analyses of user-submitted letter strings (words and nonwords) as well as frequency tables for important units and conditions such as syllables, bigrams, and neighbors, calculated over two word lists based on printed text corpora and their phonetic transcription. Online tools allow retrieval of words matching user-specified orthographic or phonetic patterns. All results and processing code (in the Python programming language) are freely available for noncommercial educational or research use. © 2010 Springer Science+Business Media B.V.