Nexus iMES¶
AI-Powered Software for Manufacturing Optimization.
Nexus iMES is the intelligence layer that orchestrates manufacturing operations. From ERP work orders to shop-floor execution, Nexus connects data, models constraints, optimizes schedules, and learns from reality.
What Nexus does¶
- Hit promise dates with resilient, constraint-aware schedules, not spreadsheets.
- Increase throughput by aligning machines, people, and materials around priorities.
- Reduce firefighting with real-time execution signals and exception-driven workflows.
Four core capabilities¶
Four integrated capabilities that transform manufacturing operations from reactive to predictive.
| Capability | What it does |
|---|---|
| Trusted Scheduling and Rescheduling | Publish schedules you can trust, and adapt them in minutes when reality changes |
| Shop-Floor Execution and Visibility (iMES) | Close the loop between plan and reality with operator updates and real-time status |
| Master Data and Constraint Management | Make constraints explicit, editable, and validated so schedules stay correct as operations evolve |
| KPIs, Bottlenecks and Operational Insights | Turn schedule and execution data into action: bottlenecks, root causes, KPI movement |
How Nexus works¶
Five steps to transform your manufacturing operations.
- Connect data from ERP, MES, spreadsheets, and shop-floor signals.
- Model constraints (routings, resources, skills, tooling, dependencies) and validate completeness.
- Optimize schedules against objectives (OTD, throughput, cost trade-offs) and publish plans.
- Execute and monitor with operator and machine updates and exception alerts.
- Learn and improve by updating cycle times and constraints from actual performance, and iterating.
Integrations¶
Nexus connects to your existing systems while maintaining enterprise-grade security.
| Layer | Supported systems |
|---|---|
| ERP | Microsoft Dynamics 365, SAP, NetSuite, Infor, Epicor (via APIs, data exports, direct database) |
| MES | Plex and other MES platforms via API-based integration and reconciliation patterns |
| OT | OPC UA, MTConnect, and edge gateways for machine-level signals where available |
The connector-first approach: Nexus ingests work orders, routings, inventory readiness, and execution updates through APIs or scheduled exports. Built-in validation discrepancy checks highlight missing operations, mismatched statuses, and relationship gaps before they break schedules.
Security and compliance¶
Role-based access control, granular permissions by user role and department, TLS encryption in transit, encryption at rest for all data, complete audit logs of schedule and master-data changes, and flexible deployment (cloud, hybrid, or on-premises) to align with IT policies. See Security and Compliance.
Implementation timeline¶
Structured deployment with clear milestones and fast time to value.
| Weeks | Milestone |
|---|---|
| 0 to 4 | Data readiness + trusted schedule MVP: core routings and constraints with the first schedule publish |
| 4 to 8 | Execution loop: operator updates, exception alerts, and adherence tracking |
| 8 to 12 | Expansion: additional lines and sites, deeper constraint modeling, KPI cadence, continuous improvement |
Time to first value: 30 days to a first trusted scheduling loop, assuming minimum viable data is available. Faster if routings and resources are clean; slower if master data relationships must be rebuilt.
What you need to provide¶
- Work order feed including IDs, due dates, quantities, and priorities
- Routings and operations with standard times, or historical production data to learn them
- Machine list with capabilities, and operator list with shifts and skills (as available)
- Inventory and material readiness signals, even a simple state machine to start
- Operational rules such as outsourcing steps, changeover logic, and dispatching preferences
Proven results¶
| KPI | Outcome |
|---|---|
| Capacity increase | ~29 percent observed in a discrete manufacturing context |
| Cycle time reduction | 20 to 30 percent typical range once constraints and execution loop are in place |
| Fulfillment improvement | 10 to 15 percent uplift |
| Planner efficiency | Fewer manual rebuilds and faster reaction to disruptions through constraint-aware rescheduling |