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.
Not all businesses value their stock in the same way and it is important that the material costs of each sales transaction accurately reflect their costs, which can change long after stock has been sold. This is important not just for accounting purposes but also to be able to gauge the profitability of each transaction. Microsoft Dynamics NAV 2013 does this by:
Offering a number of different costing methods including FIFO, LIFO, Standard cost and costing by specific item serial nos.
Recording of costs when items are received or shipped as opposed to when they are invoiced and paid for.
Posting to accounting ledgers is automated thus reducing the chance of errors being made.
Costs are re-adjusted based on actual invoiced costs.
The costs of sales are retrospectively adjusted if the cost of the purchases that relate to them changes.
Stock can be quickly and easily re-valued if necessary.
A detailed example of how costing in Dynamics NAV 2013 works can be found HERE.
How can Artificial Intelligence be used for predictive maintenance in manufacturing? New software technologies are helping business operations.
Summarising technology changes for manufacturing companies in 2023 and what that means for 2024 such as artificial intelligence and industry 4.0
Manufacturing, Warehousing and distribution company Colorlites implements Business Central ERP with Dynamics Consultants in a phased approach