Production Intelligence

Turn production complexity into reliable output.

Connect orders, plans, machines, people, materials and production constraints in one real-time decision system.

InAnalytics helps manufacturers understand what limits output, predict whether the plan will be achieved and continuously optimize schedules, capacity and resource utilization.

Schedule a Production Intelligence Assessment

Production capacity depends on more than machines

Available capacity changes continuously.

Equipment availability, staffing, material supply, changeovers, buffers, product mix and unexpected disruptions all affect what the plant can actually produce.

Traditional production reporting shows what has already happened. Production Intelligence identifies what is limiting output and determines what should be changed.

Use production data to identify:

where time and available capacity are being lost,
which resources are limiting throughput,
whether the current plan remains achievable,
how orders should be assigned to lines, machines and shifts,
where staffing or material shortages will affect production,
how each production decision affects delivery, cost and margin.

Algorithms that turn production data into executable plans

Production Intelligence models combine historical performance with current production conditions, available resources and future demand.

They forecast output, detect emerging delays and continuously compare planned production with actual execution.

This provides a reliable foundation for scheduling, capacity planning, resource allocation and automated production-control algorithms.

Plan capacity. Optimize every shift.

A production plan is only realistic when machines, people, materials and time are available together.

Production Intelligence continuously answers:

Will the current production plan be achieved?
Which order, line or operation is creating the delay?
Where is unused production capacity available?
Which machine or workstation is limiting throughput?
Are the required operators and skills available?
When should changeovers and maintenance be scheduled?
How should orders be sequenced to reduce losses?
What will be the impact on delivery, cost and profitability?

Plan with real capacity. Control every shift. Deliver the result.

Production Intelligence converts every production event into updated information about capacity, execution and expected output.

One decision model. From order to shipment.

Production Intelligence connects:

customer orders, demand forecasts and delivery commitments,
annual, monthly, daily and shift production plans,
products, batches, recipes and production routes,
machine states, cycle times, downtime and changeovers,
operators, teams, qualifications and working time,
materials, components, buffers and work in progress,
throughput, yield, scrap, rework and quality results,
energy, utilities, production costs and contribution margin.

The result is one operational model linking every production resource and event with its impact on output, delivery and financial performance.

Optimization that respects production reality

The fastest schedule is not always the best achievable schedule.

InAnalytics evaluates production decisions against real operational constraints:

machine and line capacity,
operator availability and required qualifications,
production routes and operation sequences,
tooling, materials and component availability,
setup and changeover times,
maintenance windows and equipment condition,
buffers, storage and work-in-progress limits,
quality, safety and technological requirements,
priorities and customer delivery commitments.

Recommendations are executable on the shop floor—not based on theoretical capacity alone.

From production reporting to active control

Traditional production reporting explains yesterday’s result.

Production Intelligence shows what should happen next:

detect delays before delivery dates are affected,
identify unused time and production capacity,
balance workloads between lines and workstations,
improve machine and workforce utilization,
reduce waiting, changeover and idle time,
optimize order sequence and resource allocation,
forecast shift, daily and month-end output,
measure the financial impact of every production loss.

Production flow across the entire plant

Production Intelligence follows products and orders across machines, workstations and process stages.

It identifies where production accelerates, where queues begin to grow and where capacity is being lost.

Connect:

order release and production start,
individual operations and machine cycles,
material movement and buffer levels,
operator assignments and activity states,
quality checks, rework and scrap,
completed products and shipment readiness.

This creates one current view of production flow—from the first operation to the finished product.

Real Industrial Reference

Industrial application example

Workforce and workstation efficiency

Production capacity depends on the availability of both equipment and qualified operators.

The Worker Efficiency application creates a real-time timeline of activities for workers, teams and workstations. It distinguishes productive operation time from training, changeovers, waiting and other assigned activities.

Production Intelligence can:

show who is assigned to each workstation and operation,
register productive and supporting activities in real time,
compare operator availability with machine demand,
calculate active operation, training and non-production time,
identify waiting, staffing gaps and unbalanced workloads,
verify whether the required skills are available,
improve shift planning and workforce allocation,
quantify the production impact of lost working time.

The result is a transparent view of how available working time supports actual production—not just employee attendance.

From available hours to productive capacity.

Built on real industrial data

Process Intelligence is powered by the InAnalytics Data Platform.

Connect PLC, SCADA, DCS, MES, LIMS, ERP, historians, sensors, meters, laboratory systems, SQL databases, files and external APIs using OPC UA, Modbus, REST, ODBC and other industrial interfaces.

Use PostgreSQL and open analytics tools including Grafana, Power BI, Metabase and Looker Studio. Retain full control of your data, process models, algorithms and deployment.

Typical Production Intelligence Applications

Production plan versus actual

Continuously compare planned and actual production by plant, line, machine, shift, product, order or batch.

Capacity and workload planning

Calculate realistic production capacity using machine availability, staffing, materials, changeovers and technical constraints.

Production scheduling

Sequence and assign orders to machines, lines and shifts to improve delivery performance and resource utilization.

Throughput and bottleneck analytics

Identify the operations, machines and resources limiting production flow and quantify their impact on output.

Workforce and workstation efficiency

Measure productive operation time, training, waiting and supporting activities to improve staffing and workstation utilization.

Downtime and changeover optimization

Analyze planned and unplanned downtime, setups and product changes to recover available production time.

Work-in-progress and buffer control

Monitor material flow, queues and buffers to prevent shortages, congestion and interruptions between production stages.

Production forecasting and simulation

Predict future output, order completion and capacity utilization, and compare alternative schedules before implementation.

Start with one high-value production decision

In a One-Day Production Intelligence Assessment, we identify:

the production decisions with the greatest operational and financial impact,
the data already available in your plant,
the real constraints limiting capacity and throughput,
missing measurements and system integrations,
opportunities for forecasting, scheduling and optimization,
a practical pilot scope and recommended next steps.