Compare Eyelit APS vs. Mast MES

Eyelit APS is an advanced planning and scheduling solution that helps regulated discrete manufacturers turn plans into efficient, achievable production schedules. Rather than relying on static spreadsheets that fall out of date the moment conditions change, Eyelit APS uses AI and patented optimization algorithms to generate real-time schedules that reflect what's actually happening on the shop floor. The platform integrates seamlessly with existing ERP and MES systems, giving planners and schedulers a single, unified view of operations instead of reconciling data across disconnected systems, so schedules are built on current, accurate information about orders, materials, labor, and equipment. Eyelit APS supports complex constraint handling, so schedules account for real limitations — machine capacity, tooling changeovers, labor availability, material lead times — without requiring planners to manually work around them. Dynamic resource allocation adjusts assignments as conditions shift, and built-in scenario analysis lets teams model the impact of a rush order, supply delay, or downed machine before committing to a plan. This combination allows manufacturers to respond swiftly when demand or supply conditions change, rather than scrambling to manually rebuild schedules under pressure, keeping the planning process aligned with the realities of modern production. By optimizing how production is sequenced and resourced, Eyelit APS enhances throughput, reduces lead times, and improves on-time delivery for manufacturers looking to get more from existing capacity.

Many manufacturing teams rely heavily on spreadsheets, disconnected systems, and informal knowledge sharing. While traditional MES solutions claim to address these issues, they often require lengthy implementation periods of 12 to 18 months and still struggle with high-mix, low-volume production scenarios. In contrast, Mast MES offers a unique approach. Designed with AI capabilities from the outset, Mast integrates seamlessly with your current plant systems in just a few weeks and begins providing value immediately. Our AI-driven agent does more than just display data; it actively monitors production metrics, identifies potential bottlenecks before they become critical, and autonomously suggests scheduling adjustments — functioning like a tireless co-pilot for your plant manager. Key features include real-time Overall Equipment Effectiveness (OEE) tracking, AI-enhanced scheduling, digital twin simulations, continuous improvement resources, and a cohesive data layer that breaks down operational silos. Specifically tailored for environments that frequently undergo changeovers, such as food and beverage, consumer packaged goods, discrete manufacturing, and multi-site operations, Mast's phased implementation process lasts only eight weeks, allowing you to realize a return on investment even before the majority of legacy vendors complete their initial assessments. In this way, we position your manufacturing process toward continuous improvement and efficiency from the very start.