The multi-level manufacturing knowledge graph
Model the physical plant floor, multi-tier BOMs and supplier dependencies in one structure.
- Links multi-level Bills of Materials (BOMs) directly to physical work centers, specialized tooling, operator skill certifications and active inventory locations.
- Connects inbound supplier delivery timelines directly to production line availability, flagging when an upstream transit delay threatens an upcoming assembly milestone.
- Encodes machine-level operational constraints: temperature limits, fixture requirements and processing durations.
Zero-copy production rescheduling
Model line recovery sequences in temporal sandboxes before executing on the plant floor.
For when a primary machine center requires unplanned maintenance, or an urgent order modification arrives.
Zero-copy sandboxes
Create an isolated temporal simulation sandbox that references the active production state without cloning databases.
Algorithmic constraint evaluation
Evaluate alternate routing options to identify paths that minimize tooling changeovers and satisfy delivery dates.
Controlled schedule promotion
Following review and authorization by production managers, promote the revised schedule to update MES dispatch lists and ERP queues.
Dynamic tooling and changeover sequencing
Group orders logically to reduce setup adjustments and maintain machine utilization.
Setup-compatibility grouping
Sequences production orders by operational characteristics, such as material alloy, tooling setup or cut depth, to reduce unnecessary die and fixture adjustments.
Tool life and wear association
Links telemetry indicators (operating hours, vibration, thermal readings) to specific tooling items to plan servicing between production batches.
Operator skill verification
Confirms that assigned operators hold required certifications before dispatching specialized machining or assembly operations.
Spatiotemporal WIP and bottleneck management
Balance work-in-progress levels across production stages.
WIP flow monitoring
Tracks movement between work centers to identify emerging queues before downstream cells are impacted.
Buffer coordination
Balances output between high-speed automated stages and manual assembly or testing cells to maintain steady production flow.
Material movement scheduling
Aligns internal transport requests with completed changeovers so materials arrive as work centers become available.
Bi-temporal digital thread and provenance tracking
Trace finished assemblies back through raw material and machine records.
Historical state reconstruction
Reconstruct historical operational states, including raw material lots, calibration records and operator assignments active at the time of manufacture.
Targeted defect isolation
Query the graph to trace specific material lots or machine runs directly to affected serial numbers.
Regulatory compliance reporting
Generate audit logs and records of manufacture aligned with industry quality standards (such as ISO 9001 and AS9100).
Conventional manufacturing systems vs JanusKS
| Operational focus | Traditional manufacturing stack (ERP + MES) | The JanusKS IDSS platform |
|---|---|---|
| Line rescheduling | Manual spreadsheet adjustments or static ERP re-runs requiring extensive review time. | Zero-copy sandboxes simulate candidate routing paths against constraints to identify balanced schedules. |
| Tooling and setup sequencing | Production queues ordered primarily by order date, resulting in redundant changeovers. | Constraint solvers order tasks by setup similarity to reduce physical tooling and die swaps. |
| Supplier shortage handling | Missing parts identified at point of use, resulting in stalled lines and ad-hoc re-routing. | Maps supplier tracking to scheduled assembly dates, highlighting shortages before line loading. |
| Maintenance alignment | Maintenance scheduled on fixed calendars, often conflicting with urgent customer orders. | Integrates machine telemetry and work order schedules to identify low-impact maintenance windows. |
| Traceability and auditing | Data scattered across paper traveler sheets, separate MES logs and ERP databases. | Bi-temporal graph maintains a digital thread linking raw lots, machine states and serial numbers. |
Security, industrial sovereignty and OT hardening
Advanced manufacturing facilities, defense suppliers and precision engineering plants hold critical product intellectual property and operational technology (OT) systems that require strict data control.
On-premises and air-gapped deployment
Deploy the complete graph database, solver engine and private runtimes within local plant data centers or secure edge infrastructure, with no dependencies on external cloud APIs.
Predictable operational cost
Run continuous schedule evaluations and automated constraint checks on dedicated infrastructure with no variable per-query or per-token fees.
Intellectual property protection
Proprietary CNC programs, CAD/CAM models, tooling designs and operational formulas stay within your perimeter.
Aligned with industrial security standards
Designed to align with standard defense and operational technology security guidelines, including IEC 62443 and NIST SP 800-82.
Human-led operational authority
System algorithms surface schedule alternatives, highlight constraint violations and identify flow bottlenecks, while production authorization and machine dispatch overrides stay with authorized human supervisors.