How AI Can Boost Predictive Maintenance In Manufacturing
How can Artificial Intelligence be used for predictive maintenance in manufacturing? New software technologies are helping business operations.
Being able to ‘slice and dice’ financial information is a key requirement of any accounting package.
Finance users need to be able to drill down on the basic details of an accounting statement to identify the source or destination of the revenue or costs incurred (e.g., which cost centre or manufacturing process was the source). Many of the well-known accounting packages on the market today either do not support multi-dimensional financial analysis or do not have a usable tool to analyse the data. Microsoft Dynamics NAV 2013 meets both these requirements.
It offers the following features:
In addition to the normal financial accounting code, financial and other data, e.g., inventory movements, can be analysed in up to eight different dimensions.
Dimension consistency, e.g., ensuring that all transactions posted to an accounting code must be coded to a specific dimension can be enforced.
Analysis Views can analyse up to four dimensions plus the financial accounting code and date.
Analysis Views are quick and easy to set up and use. The results can be displayed on screen or exported to a Microsoft Excel spreadsheet or pdf file.
A detailed example of Analysis Views in Dynamics NAV 2013 can be found HERE.
How can Artificial Intelligence be used for predictive maintenance in manufacturing? New software technologies are helping business operations.
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