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Warehouse Management Systems: Pie in the Sky or Floating Bakery?Part Two: The Pareto Principle, Processes, and People: Assessing Your Warehouse Management System Needs ( Pages)
by Rene Jones
Oct 1, 2004
Abstract : To ensure your warehouse management system is implemented as painlessly as possible, you must assess your warehouse situation before you decide on a warehouse solution. Using the Pareto Principle, where a minority of inputs yields the majority results; examining your processes; evaluating your personnel; monitoring the progress of implementation; and testing are the best ways to ensure both a successful launch and long term return on investment.
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Warehouse Management Systems: Pie in the Sky or Floating Bakery? Part One: Myths of the Warehouse Management Systems and Implementation ( Pages)
by Rene Jones
Sep 30, 2004
Abstract : When searching for a warehouse management system (WMS), a number of myths surface.
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SAS/Warehouse 2.0 Goes Live ( Pages)
by M. Reed
Mar 13, 2000
Abstract : SAS Institute has announced the production availability of SAS/Warehouse Administrator software, Version 2.0. This new version provides IT the ability to proactively publish data warehouse information and track its usage, plus aggressively manage the process of change in the data warehouse.
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Can You Hear Me Now: The True Role of Voice-directed Picking in Warehouse Management ( Pages)
by René Jones
Feb 9, 2007
Abstract : Although voice-directed picking may take distributors to higher logistics levels someday, operations managers should try listening to their warehouse personnel for now. Warehouse workers are the real experts on a company's warehouse, its product, and its customer.
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A Definition of Data Warehousing ( Pages)
by M. Reed
Aug 18, 2002
Abstract : There is a great deal of confusion over the meaning of data warehousing. Simply defined, a data warehouse is a place for data, whereas data warehousing describes the process of defining, populating, and using a data warehouse. Creating, populating, and querying a data warehouse typically carries an extremely high price tag, but the return on investment can be substantial. Over 95% of the Fortune 1000 have a data warehouse initiative underway in some form.
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| 6. |
A Definition of Data Warehousing (6 Pages)
by M. Reed
Aug 24, 2000
Abstract : There is a great deal of confusion over the meaning of data warehousing. Simply defined, a data warehouse is a place for data, whereas data warehousing describes the process of defining, populating, and using a data warehouse. Creating, populating, and querying a data warehouse typically carries an extremely high price tag, but the return on investment can be substantial. Over 95% of the Fortune 1000 have a data warehouse initiative underway in some form.
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| 7. |
How to Solve Your Warehouse Woes ( Pages)
by Sherry Fox
Feb 29, 2008
Abstract : Today’s manufacturers and distributors are under immense pressure to ensure their warehouse and supply chain activities are continually operating at peak performance. But before any improvements can be made, they must first develop a warehouse management improvement strategy.
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IBM and Deutsche Telecom Announce Plans for 100 Terabyte Data Warehouse ( Pages)
by M. Reed
Dec 15, 1999
Abstract : According to an announcement by International Business Machines on Thursday December 16, 1999, IBM is working with German telecommunications services company Deutsche Telekom to assemble the largest data warehouse in the world. When complete, the warehouse will contain up to 100 terabytes of customer and call records, to be used for Customer Relationship Management (CRM) applications.
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| 9. |
What You Should Know Before Selecting a WMS ( Pages)
by Joseph J. Strub
May 29, 2003
Abstract : Before an important game, you create a game plan. Before you start building a house, you have a blueprint. And before you start looking at a warehouse management system (WMS), you must define how you want your warehouse to be organized and function. This article looks at basic warehouse strategies that need to be understood to ensure that the WMS software effectively and efficiently supports the activities of the warehouse, now and in the future. This is not to say that you will not consider the best practices of the new
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