Abstract
When data itself is the product, the management of data production is quite different from traditional goods production management. Production status, the quality of the products, product identifiers, deviations, and due dates are defined in terms of volatile data and are handled strictly to enable the resulting reports within the allotted time. This paper outlines how the information gathering process for a data production management system can be automated. The system’s architecture is based upon ideas of project management. Milestones are enriched with production information. The major benefits are the following. Operators understand easily this management. They can concentrate on production itself, but are provided with reliable management information without manual effort. Additionally, with this solution a production plan is automatically created in advance.
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Schanzenberger, A., Lawrence, D.R.: Automated Supervision of Data Production – Managing the Creation of Statistical Reports on Periodic Data. In: Meersman, R., Tari, Z. (eds.) OTM 2004. LNCS, vol. 3290, pp. 194–208. Springer, Heidelberg (2004)
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Schanzenberger, A., Lawrence, D.R., Kirsche, T. (2005). Enhancing Project Management for Periodic Data Production Management. In: Meersman, R., Tari, Z., Herrero, P. (eds) On the Move to Meaningful Internet Systems 2005: OTM 2005 Workshops. OTM 2005. Lecture Notes in Computer Science, vol 3762. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11575863_5
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DOI: https://doi.org/10.1007/11575863_5
Publisher Name: Springer, Berlin, Heidelberg
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