Datanomix Automated Production Intelligence Platform for ProShop ERP Software
PMTS 2023: Automated Job Costing analytics compare ProShop ERP target cycle times to actual process performance in the Datanomix Automated Production Intelligence Platform.
Automated Job Costing analytics compare ProShop ERP target cycle times to actual process performance in the Datanomix Automated Production Intelligence Platform. This means machine shops are armed with a full list of jobs to focus on in order to find more margin. Users configure ProShop credentials, and the production platform does the rest, according to Datanomix.
The integration automatically matches part numbers in the platform to those from the ERP system and extracts specific target takt times. When compared to actual machine performance in the platform, the variance to standard is represented in terms of button-to-button time, cutting time and touch time, and summarized with the letter grade score of A+ to C-, making it obvious which jobs are underperforming.
ProShop targets are also integrated into the Datanomix Quote Calibration Report to quickly help identify long-term opportunities for margin improvement based on variance to cycle time standards.
Through two-way integration, the platform benchmarks and actuals are fed back into the ERP system so users can make more informed and accurate estimates based on real data.
Preloaded filters show users part numbers that beat ERP targets and are making more profit than anticipated; part numbers that did not beat ERP targets and are not making a profit; part numbers that are beating targets, but could be making even more money; part numbers that are losing on average compared to targets, but could be winning because Datanomix has seen users run the job well enough to turn it into a winner, the company says.
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