| 1. |
ASP Traffic Analysis! What Next – ASP Odometers? ( Pages)
by D. Geller
Apr 4, 2000
Abstract : WebTrends will begin offering an Application Service Provider (ASP) solution for web traffic analysis. The offering has options both for traditional traffic analysis and for commerce analysis. The product is also free to personal web sites.
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| 2. |
ASP Traffic Analysis! What Next – ASP Odometers? (3 Pages)
by D. Geller
Apr 4, 2000
Abstract : WebTrends will begin offering an Application Service Provider (ASP) solution for web traffic analysis. The offering has options both for traditional traffic analysis and for commerce analysis. The product is also free to personal web sites.
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| 3. |
Bid/No-Bid Analysis, No-Bid Letter FREE Template, and Sample (1 Page)
by TEC Staff
Mar 15, 2008
Abstract : The bid/no-bid analysis is the assessment, whether quantitative, qualitative, or usually both, of risks inherent to the choice of whether submitting or not submitting an offer upon receipt of an invitation to do so. If you decide to submit a bid, you will send a letter of intent to express you intention to bid. At the contrary, if you find the opportunity not so appealing that you decided not to bid, you are highly encouraged to send the requesting organization a no-bid letter. Learn tips on how to run a professional, effective bid/no-bid analysis
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| 4. |
Brain of Supply Chain System (4 Pages)
by Ashfaque Ahmed
Jun 19, 2004
Abstract : A software tool called advanced planning and optimization, APO, for short, is used to make a supply chain system cost effective and integrated. Since this tool works on top of all other software tools which are used to plan, monitor, and control supply chain activities and control them, APO can effectively be called the brain of a supply chain system. This article explores advantages of having an APO tool for managing supply chain functions even if a business already has invested in a supply chain management (SCM) system. If a company has not made the investment then the APO tool can be used together with the upcoming SCM system.
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| 5. |
Microsoft Axapta: Design Factors Shape System Usage Part Three: Manufacturing Environments ( Pages)
by Dr. Scott Hamilton
Feb 12, 2005
Abstract : If you are implementing or considering Microsoft Axapta as your ERP system, or providing Axapta-related services, this note provides an overall understanding of how the system fits together to run a business. This section reviews the major design factors affecting system usage in a manufacturing environment.
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| 6. |
Microsoft Axapta: Design Factors Shape System Usage Part Two: Distribution Environments ( Pages)
by Dr. Scott Hamilton
Feb 11, 2005
Abstract : If you are implementing or considering Microsoft Axapta as your ERP system, or providing Axapta-related services, this note provides an overall understanding of how the system fits together to run a business. This section reviews the major design factors affecting system usage in a distribution environment.
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| 7. |
Use a Computerized Maintenance Management System to Improve Predictive Maintenance Performance ( Pages)
by David Berger
Aug 6, 2008
Abstract : Companies that have moved from a highly reactive environment to a more planned one notice significant improvement. A computer maintenance management or enterprise asset management system is useful tool to create a planned environment, help build accurate equipment history, and develop comprehensive analysis capability.
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| 8. |
CPR on BPR: Practical Guidelines for Successful Business Process Analysis ( Pages)
by Randy Garland
Aug 23, 2001
Abstract : Part 2 of a series on Business Process Reengineering: Long Live Business Process Reengineering. In this Part, we discuss some practical steps for actually performing business process analysis and fostering change in your company.
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| 9. |
Identifying the ROI of a Software Application for SCM Part 3: Performing the Data Analysis ( Pages)
by Mark Wells
Jul 17, 2001
Abstract : By using software tools that help you forecast and work together with others inside your organization, and even with your customers, the forecasts may become more accurate. You can make an assumption on how much improvement might be possible. This part discusses the challenge of performing the data analysis.
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