Introduction
Insights driven by analytics to optimize and improve processes
Process optimization helps you increase organizational efficiency by making process improvements. It is similar to continuous improvement, which aims to continuously improve processes, products, or services. To achieve this, improvements over made in a number of areas, including machinery, control loops, quality monitoring, maintenance scheduling, etc.
With process optimization, the aim is to increase the productivity to its fullest with highest possible quality, and with lowest possible amount of input resources, including time and labor. This is done by eliminating unnecessary steps and automating as much as possible.
Problem
Strong decision-making in favor of improvement of processes requires access to insightful data. Without which, it may not be possible to identify inefficiencies in the existing process. The consequences of which can range from downtime to production loss.
- Frequent downtime
- Production bottleneck
- Impacts operator productivity & quality
Solution
Optimization of processes can be achieved by measuring, analyzing and visualizing data for pinpointing inefficient stages/components in a process. Wimera assists you harness the power of machine data which can be combined with human context to identify the bottlenecks in the process and optimize it.
- AI-driven predictive maintenance
- Overlay cycles to analyze discrepancies
- Eliminate downtime & improve uptime and productivity
