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Materials Requirements Planning (MS Access XP) 2.17
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Inteproc Pty Ltd |
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Rating: 5/5 (4 votes) 
Released: Sep 01, 2003
Platforms:
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Material Requirements Planning is software designed for planning of materials for production based on inventory, bills of material, purchase orders and production/sales forecasts. This can be used as a tool, integrated to data in external sales, inventory, purchasing and manufacturing systems or as a complete system with full inventory, purchasing and manufacturing order functions. An accounting interface allows all transactions with financial impact to be integrated to external accounting systems or for development of simple accounting journals. It is a fully developed multi-user application for use with MS Access 2000 or XP providing standard features of multiple data sources, security, data import/export, web publishing, data archiving, etc. It includes manuals, tutorials, help systems, implementation and parameter wizards, glossaries, etc, all to make the application easy to self-implement. Data can be easily linked or copied to external MS Access databases for user development of reports, queries and extended functionality. The user interface provides easy navigation to all functions and can be user-configured to display alternate language or terminology in forms, reports and menus. The application includes useful tools such as a full inventory counting cycle. Data outputs from the application allow the user to apply varying levels of planning automation, including the automatic creation of purchase orders. Numerous user-defined fields allow customising to specific environments.
Product homepage: http://www.inteproc.com
Download: 
www.inteproc.com
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| Add Your Review for Materials Requirements Planning (MS Access XP) |
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| Type: Commercial |
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Cost: $500.00 US |
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Size: 7793 K |
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Related programs:
- Regression Analysis and Forecasting 1.0 - The Multiple Regression Analysis and Forecasting template provides a solid basis for identifying value drivers and forecasting business plan data. Advanced statistical tests performed include significance, auto correlation, and multi colinearity.
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