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Managing Late Measurements in Data Warehouses
International Journal of Data Warehousing and Mining, 2007Though in most data warehousing applications no relevance is given to the time when events are recorded, some domains call for a different behavior. In particular, whenever late measurements of events take place, and particularly when the events registered are subject to further updates, the traditional design solutions fail in preserving ...
GOLFARELLI, MATTEO, RIZZI, STEFANO
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Warehouse Design and Management
2019This chapter has discussed the warehouse design and fundamental responsibilities of management for distribution centres and warehouse operation, and the need for monitoring to identify potential performance failures and ensure efficient operation. The essential importance of communication and information in these processes has been emphasized, and the ...
Syed Abdul Rehman Khan, Zhang Yu
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Warehouse and Transportation Management
2016Depending on the particular requirements, you may need to manage pallets and to track detailed transactions within the warehouse. In Dynamics AX, the advanced warehouse management provides the necessary functionality for this purpose.
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Warehouse Design And Management
2002Maintaining effective and efficient warehouse operations necessitates integrated supply chain planning across multiple functional areas just as other operational components of the supply chain similarly depend upon integrated planning approaches. Further, integrated warehouse design, planning and management requires the use of a hierarchical paradigm ...
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Computers and Warehouse Management
1997The use of computers in warehouse management is taken for granted so often that we fail to recognize the countless instances where no system exists, or the one that does exist does not function well.
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A literature review of smart warehouse operations management
Frontiers of Engineering Management, 2022Lu Zhen, Haolin Li
exaly
2003
Die Herausforderungen des Data Warehousing liegen langst jenseits von Grundkonzeption und Architektur, die weitestgehend gefestigt sind. Ein ganzheitliches proaktives Datenqualitatsmanagement und integriertes Metadatenmanagement sind fur ein effektives Data-Warehouse-System heute ebenso elementare Voraussetzung wie Datenschutz und Datensicherheit, die ...
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Die Herausforderungen des Data Warehousing liegen langst jenseits von Grundkonzeption und Architektur, die weitestgehend gefestigt sind. Ein ganzheitliches proaktives Datenqualitatsmanagement und integriertes Metadatenmanagement sind fur ein effektives Data-Warehouse-System heute ebenso elementare Voraussetzung wie Datenschutz und Datensicherheit, die ...
openaire +2 more sources

