Digital Value Stream Value Stream Analysis in Real-Time
The Digital Value Stream is a live, data-driven digital twin of your actual production value streams, automatically mapped by ONIQ.
The Digital Value Stream is a live, data-driven digital twin of your actual production value streams, automatically mapped by ONIQ.
ONIQ automatically creates the Digital Value Stream - a digital twin of your actual production processes. It provides a powerful automation of proven value stream mapping and analysis methods. By delivering full, automated transparency across all value streams, the software moves beyond the limitations of static, one-off snapshots.
Designed for immediate operational impact, ONIQ is typically up and running within a few days with minimal implementation and onboarding effort. The system flexibly integrates with existing production-related IT systems - including ERP, MES, or PDA - without the need for complex IT projects. From day one, ONIQ operates fully automated: value streams stay continuously up to date, analyses run in the background, and new focus areas are surfaced proactively.
ONIQ is purpose-built for real production environments. The Digital Value Stream comes with the KPIs, structures and logic that manufacturing teams already use every day, so they can work with it immediately without extensive training. Instead of adapting generic analytics tools, production teams get a system that speaks their language and directly supports the decisions they make daily.
The Digital Value Stream provides the structured, production-specific data model that powers all analyses in ONIQ. It creates a consistent, validated representation of your actual processes and material flows. Built-in Lean Analytics and Manufacturing AI Agents draw from this shared foundation, so every insight and recommendation reflects how your production actually works. Grounding AI in a validated, production-specific model rather than fragmented raw data is what keeps results traceable, explainable, and rooted in reality.
ONIQ connects to existing production IT systems - ERP, MES, or any other data source - without requiring additional infrastructure or data preparation. Raw data is processed as-is, irrespective of the source system, and value streams are reconstructed fully automatically from it. No manual mapping, no configuration, no formatting effort on the customer side. The result is a continuously updated Digital Value Stream Twin that reflects the real structure of operations and material flows in real time - including complex, multi-stage processes that would take weeks to map manually.
Instead of static snapshots, value streams are continuously analyzed based on live production data. Teams can observe current performance in real time, retrace historical value streams or analyze longer time horizons to identify systemic patterns. Value stream analysis becomes a continuous management capability rather than a one-off workshop exercise.
ONIQ maps and monitors every value stream contributing to a finished product, linking all production stages through the bill of material. This creates a complete view of the entire internal supply chain for each individual product - from raw materials through every intermediate stage to the finished product - including logistics flow, inventory levels, and replenishment lead times between production steps. Where needed, a drill-down into the granular product value stream reveals the material flow and performance on shop-floor level.
All relevant performance KPIs are automatically calculated directly within the Digital Value Stream. Because ONIQ links multi-level bills of materials, production orders and individual machines and workstations in one consistent model, KPIs such as WIP, OEE, cycle times or throughput times can be analyzed across the different operational layers of production. This reveals, for instance, how material availability, order flow and resource constraints together create bottlenecks and delays in the value stream.
ONIQ works with the data that is already available - basic process information from individual production steps are sufficient to get started. Inconsistent or implausible data is detected and handled automatically, so imperfect data quality is almost never a barrier to meaningful analysis. Where data issues do exist, ONIQ makes them immediately visible and traceable, so teams can effectively identify root causes and address them.
ONIQ integrates the concepts of "lean" and "green": By analyzing the energy and CO2 footprint within the value stream, measures for enhancing efficiency and sustainability can be harmonized, resulting in holistic and comprehensive improvements.
Integrated analyses to increase manufacturing excellence: reduce bottlenecks, cut WIP, improve OEE and on-time delivery, among others.
Autonomous AI-based monitoring, proactive alerts and actionable guidance.
Simulation of the impact of production changes directly on the Digital Value Stream, with no additional modeling effort.
A live, automatically generated digital twin of your actual production value streams, built directly from your existing production data. Unlike conventional process mining tools, it applies established value stream mapping notations and displays key KPIs at each workplace and process step. ONIQ combines operational data with the proven logic of value stream management.
ONIQ connects to standard data sources such as ERP, MES or shop floor data collection systems, regardless of vendor. Common approaches include direct connections (for example SAP RFC, OData or BW extracts) or file based transfers such as CSV or Parquet from existing ETL pipelines. The exact connection is defined together during a short data scoping phase.
No. ONIQ reconstructs value streams automatically from existing transactional data. There is no manual process mapping, configuration or data preparation required on your side. The ONIQ Connector automatically transfers and enriches this data in a comprehensive production data model, adding the context needed to reflect complex manufacturing processes.
Yes. Warehouse postings, goods receipts and issues are captured wherever they exist as distinct bookings or operations in your ERP or EDM system, and logistics data can be included where available. Cases with implicit pre picking steps are reviewed individually to find the best way to model them.
Yes. Where cost data is available in the bill of materials, ONIQ can display product mix and inventory as value or cost, not just quantity.
ONIQ automatically detects implausible or inconsistent data and can exclude it from analyses, so results stay reliable even with imperfect data. It also makes data quality issues visible and traceable. Inconsistencies such as planned versus actual times or missing routings frequently surface during analysis, which is often a valuable side benefit.
Yes. The Process Carbon Footprint capability uses the consumption and process data ONIQ already captures, such as energy, machine runtimes and material flows, combined with emission factors to reveal CO2 hotspots directly within the value stream.
Yes. New designs can be uploaded and compared directly with the current data-based state, including scenarios based entirely on development or greenfield data.
