Can Crown Technologies integrate production management with our ERP?

Yes. Integration can connect ERP, JDE, inventory, warehouse, finance, quality, maintenance, IoT and other systems using APIs, databases, event feeds, files or controlled middleware depending on the environment.

Can you build production dashboards and OEE reporting?

Yes. Dashboards can combine availability, performance, quality, output, downtime, scrap, changeover, WIP, schedule adherence and other operational KPIs for role-based visibility.

Do we need to replace our existing manufacturing systems?

Not necessarily. Crown Technologies can layer new workflows, dashboards and integrations around existing ERP, MES, warehouse or legacy applications and modernise in controlled stages.

Can the solution support batch and lot traceability?

Yes. Where source data is available, solutions can capture material lots, process steps, operators, equipment, timestamps, quality results and finished-goods relationships for forward and backward traceability.

Can production data be captured from machines and IoT devices?

Yes. Machine, PLC, sensor and IoT data can be integrated where technically appropriate, allowing production events, states, counts, alarms and condition data to contribute to operational visibility.

Production Management Software & Manufacturing Solutions

Q: What is a production management system?

A production management system connects planning, materials, work orders, shop-floor execution, quality, WIP, traceability and performance data so manufacturing teams can manage production from demand through dispatch.

From disconnected activity to connected operations

Production should not depend on people stitching information together by hand.

Many manufacturing environments have the data they need, but it is spread across ERP screens, machine logs, paper travellers, quality records, spreadsheets, warehouse systems and individual knowledge. The result is delayed decisions, duplicate entry and limited visibility into what is actually happening on the floor.

A well-designed production management layer connects those signals into a clear operating model: what needs to be made, what material is available, what is running now, what is waiting, what has failed quality, what is late, and what needs attention next.

01 / DEMANDWhat must be produced?

Orders, forecast, priorities and due dates establish the production requirement.

02 / PLANHow will we make it?

Capacity, routing, skills, equipment and material constraints shape the schedule.

03 / EXECUTEWhat is happening now?

Work-order progress, counts, cycle times, downtime, WIP and exceptions update the operational picture.

04 / ASSUREIs it right?

Inspection results, holds, rework, deviations and traceability protect quality and compliance.

05 / IMPROVEWhat should change?

OEE, losses, bottlenecks and trend analytics guide continuous improvement.

Production management modules

Digital capability across the entire manufacturing lifecycle.

The right solution can be a focused dashboard, a workflow application, an integration layer, a custom MES-style platform or a staged modernisation programme. We shape the scope around operational value.

01

Demand, production planning & scheduling

Translate demand into achievable production plans with visibility of priorities, due dates, available capacity, changeovers, resource constraints and material readiness.

Master scheduleCapacityConstraintsPriorities

02

Work-order lifecycle management

Digitise release, queue, start, pause, complete, close and exception states so teams can see the actual position of every job without chasing updates.

Work queuesRoutingStatusExceptions

03

Shop-floor execution & operator workflows

Role-based screens for instructions, production declarations, scans, labour, line clearance, checks, downtime reasons and guided workflows at the point of work.

Operator UIScanningDigital formsAndon

04

WIP, material & inventory visibility

Connect raw material, issued quantity, consumption, intermediate stock, shortages, substitutions, warehouse movement and finished-goods status to production.

WIPMaterial issueShortageWarehouse

05

Quality management & non-conformance

Embed inspection plans, checkpoints, specifications, hold/release decisions, deviations, defects, rework and corrective-action workflows into production records.

InspectionHoldsNCRRework

06

Batch, lot & serial traceability

Build forward and backward genealogy by connecting materials, lots, operations, operators, equipment, timestamps and finished units where source data supports it.

GenealogyLot historySerialsAudit trail

07

OEE, downtime & loss intelligence

Measure availability, performance, quality, stops, speed loss, scrap, micro-stoppages and changeover so improvement teams can focus on the losses that matter.

OEEDowntimeScrapChangeover

08

Production analytics & management dashboards

Create role-specific views for operators, supervisors, planners, quality, maintenance and leadership with drill-down from site KPIs to specific jobs and events.

DashboardsKPIsAlertsTrends

Operational outcomes

Make production easier to see, control and improve.

The goal is not another dashboard. The goal is faster decisions, cleaner data, more predictable flow and a manufacturing system that makes problems visible early enough to act.

01

Schedule adherence

See planned versus actual progress, late work, blocked operations and risks to due dates before they become service failures.

02

Lower hidden WIP

Know what is waiting, where it is, why it stopped and how long it has been between process stages.

03

Faster issue response

Surface downtime, shortages, quality holds and abnormal cycle times while action is still possible.

04

Stronger traceability

Reduce time spent reconstructing production history by linking materials, process events and product records digitally.

05

More reliable KPI reporting

Replace manual spreadsheet consolidation with controlled measures based on a defined operational data model.

06

Continuous improvement evidence

Use loss reason, time, output and quality data to verify whether changes actually improve performance.

Architecture that respects your current environment

Connect the systems you already use—and create the production layer they cannot provide alone.

Production data often lives across ERP, databases, warehouse tools, quality applications, PLCs, sensors and spreadsheets. We design the integration pattern around data ownership, latency, reliability, security and maintainability.

01

Experience layer

Responsive operator screens, supervisor workbenches, planner views, dashboards and mobile-friendly approvals.

Role-based UI
Scan-first workflows
Exception-first design

02

Production services

Work-order logic, status models, routing, quality rules, traceability, notifications and production calculations.

Workflow engine
Business rules
Audit history

03

Integration & data layer

Controlled interfaces to ERP, JDE, WMS, finance, maintenance, laboratory, identity and external services.

APIs
SQL/data services
Events & files

04

Machine & edge layer

Where appropriate, connect PLC, SCADA, sensors, counters, gateways and IoT services for machine-state and production signals.

PLC/SCADA data
IoT gateways
Edge buffering

What a connected production layer changes

Move from reporting what happened to controlling what happens next.

Production management becomes most valuable when the information supports decisions at the moment they are needed—from line operators through planners and management.

01 / VISIBILITY

Real-time operational context

See jobs, lines, materials, WIP and exceptions together rather than switching between disconnected sources.

02 / CONTROL

Standardised workflows

Digitise key decisions and status changes so production follows a consistent, auditable process.

03 / QUALITY

Quality at the point of production

Put specifications, checks, holds and defect handling into the same workflow as the job itself.

04 / TRACE

Faster genealogy and investigation

Connect input lots, operations and outputs to support recalls, investigations and root-cause analysis.

05 / FLOW

Better bottleneck visibility

Measure queue time, processing time, downtime and blocked work to understand where flow is being lost.

06 / LABOUR

Clearer workload and productivity

Understand workload, completion, task distribution and activity without turning the system into intrusive surveillance.

07 / COST

Less manual reconciliation

Reduce time spent rebuilding production reports from multiple spreadsheets and system exports.

08 / SERVICE

More dependable customer commitments

Use actual production position and constraints to improve completion forecasts and dispatch confidence.

09 / IMPROVE

Evidence for continuous improvement

Make losses measurable and compare before-and-after performance when processes are changed.

Technology ecosystem

Modern manufacturing software without unnecessary platform lock-in.

We select technology around your architecture, source systems, security model, support capability and deployment environment. The production process determines the solution—not the other way around.

Business applications

Production workflows & portals

Secure interfaces for planners, supervisors, operators, quality teams and leadership.

ReactNext.js.NETNode.jsPHPPython

Enterprise systems

ERP & transactional integration

Connect master data, orders, inventory, issue/receipt, costing and financial processes with clear ownership.

JDESAPDynamicsERP APIsSQL

Manufacturing layer

MES-style execution capability

Work-order control, routing, production declaration, electronic records, quality and traceability.

MESeDHR/eBRRoutingTraceabilityWIP

Machine connectivity

OT, IoT & edge integration

Capture useful machine states, counts and condition data when the operational case justifies it.

PLCSCADAOPC UAMQTTIoTEdge

Data platform

Reliable operational data foundation

Structured models that preserve transaction detail while enabling fast reporting and history.

SQL ServerPostgreSQLMySQLAWSAzure

Analytics

Manufacturing intelligence

Role-based KPI reporting, trend analysis, alerts, root-cause exploration and management reporting.

Power BICustom dashboardsOEESPCAlerts

Automation

Workflow orchestration

Trigger approvals, notifications, scheduled processes and data movement while keeping important controls visible.

APIsWebhooksQueuesn8nOrchestration

AI-ready

Decision support where it adds value

Use forecasting, anomaly detection, document assistance and intelligent search carefully within governed production workflows.

ForecastingAnomaly detectionAI assistantSearch

Connected manufacturing ecosystem

Production management works when information moves across the business.

We define where each record originates, which system owns it, how quickly it must move and how failures are handled. That lets the new production layer add visibility without creating another isolated data silo.

ERP & commercialOrders, items, BOMs, routings, inventory, costing, purchasing and finance.

Warehouse & materialsReceipts, locations, picks, issues, consumption, returns and finished-goods movement.

Quality & maintenanceSpecifications, results, deviations, holds, equipment status, work requests and asset history.

OT & data platformsPLC/SCADA, sensors, IoT, historians, databases, BI and cloud analytics.

Map your production systems

Production management

ERP / JDE

WMS

Machines / IoT

Analytics

Quality

Maintenance

P

Production systems need reliability, auditability and usability—not just features.

Manufacturing software sits close to real operations. We design for clear permissions, predictable workflows, accurate timestamps, traceable changes, resilient integrations and interfaces people can use under production pressure.

01

Role-based access & accountability

Separate operator, supervisor, planner, quality, maintenance and administrative actions according to business responsibility.

02

Controlled data & audit history

Preserve who changed what, when and why for important production status, quality and traceability records.

03

Resilient integration behaviour

Design queues, retries, validation and exception visibility so a temporary interface problem does not silently corrupt the process.

04

Fast operator experience

Use focused screens, scanning, sensible defaults and clear status language to minimise friction at the point of production.

05

Secure deployment & support

Environment separation, access control, monitoring, backup and controlled release practices aligned to operational risk.

Modernise without stopping production

You may not need a rip-and-replace programme.

Some factories already have ERP, warehouse, quality and machine systems that perform their core jobs well. The missing layer is often visibility, workflow and integration. We can start there.

A staged approach can expose existing data, remove spreadsheet gaps, digitise one production workflow, build a management view, and then expand only after value is proven.

Legacy databaseERP/JDEExisting MESExcel reportingPaper workflowsPLC/SCADA

Assess your current production landscape

01

Discover the real process

Map how planning, materials, production, quality and dispatch actually work today—including workarounds.

02

Identify control gaps

Find where data is duplicated, delayed, manually reconciled or invisible to the people making decisions.

03

Create an integration foundation

Connect the sources needed for the first valuable use case with clear data ownership and error handling.

04

Digitise one high-value workflow

Prove the operating model on a focused process, line, site or reporting need before wider rollout.

05

Scale by measurable value

Expand the platform based on operational outcomes, user adoption and the next most important constraint.

Manufacturing environments

Different factories. Different controls. The same need for dependable production visibility.

We adapt the solution to production mode, regulatory context, traceability needs, asset intensity, batch complexity and the systems already in place.

01

Food & beverage

Batch genealogy, material control, yield, expiry, quality and production scheduling.

02

Pharmaceutical & healthcare manufacturing

Controlled workflows, electronic records, lot traceability, quality and exception handling.

03

Electronics & high-tech

Serial traceability, routing, component genealogy, testing and configuration visibility.

04

Industrial equipment

Make-to-order scheduling, multi-stage work orders, engineering changes and WIP control.

05

Automotive & components

Line performance, sequence, quality, takt/cycle time and supplier/material traceability.

06

Chemical & process manufacturing

Batch execution, process parameters, yield, quality release and material reconciliation.

07

Packaging & print

Job scheduling, setup/changeover, material usage, scrap and machine performance.

08

Warehousing-linked production

Production staging, replenishment, material issue, finished-goods receipt and dispatch readiness.

How production digitalisation moves from idea to operation

Start with the process, prove value, then scale.

Manufacturing projects fail when software is designed before the real workflow is understood. We begin with operational reality, define the data and controls, then build in visible increments with production stakeholders involved.

Start with production discovery

01

Map production flow & pain points

Document demand, planning, materials, work-order states, quality, equipment, handoffs, delays and current reporting.

Process walk-through
System map
User roles
KPI baseline

02

Define data ownership & architecture

Identify which systems own master and transaction data, what must be real-time, and how integrations should fail safely.

Data model
Integration map
Security
Interfaces

03

Prototype the operational experience

Design the screens, work queues, alerts and dashboards around decisions users need to make at each role.

Planner view
Operator UI
Supervisor control
Dashboard

04

Build & integrate in stages

Develop working slices, connect source systems, validate production rules and expose issues early.

APIs
Workflow
Data services
Testing

05

Pilot with controlled production use

Validate the solution with representative users, real data and clear rollback/support arrangements before scaling.

Pilot
UAT
Training
Operational support

06

Measure value & expand

Compare performance against baseline, refine the system and prioritise the next production constraint or site.

Adoption
KPI impact
Optimisation
Roadmap

Engagement models

From one production dashboard to a multi-site digital operations programme.

We can work as the end-to-end delivery partner, integrate into an internal IT/OT team, or begin with a diagnostic and roadmap where the right solution is not yet clear.

01 / SOLUTION

Production management application

Design and build a focused custom solution across workflows, integrations, dashboards and deployment.

Defined operational outcome
Integrated engineering team
Production-ready handover

02 / MODERNISE

Factory digitalisation programme

Modernise manual and disconnected production processes in controlled stages while preserving core systems.

Prioritised roadmap
Integration-led delivery
Iterative rollout

03 / TEAM

Dedicated manufacturing technology team

Add software, data, cloud, integration and automation capability to support your internal operations programme.

Flexible capacity
Works with IT and operations
Long-term continuity

Frequently asked questions

Practical answers before a production management project begins.

The right architecture depends on your production process, existing systems, data quality, timing requirements and the decisions the solution must improve.

Discuss your production environment

What is a production management system?

It is a digital layer for controlling and understanding production activities such as planning, work orders, WIP, materials, shop-floor execution, quality, traceability, equipment performance and manufacturing KPIs. The exact scope varies by factory.

Is this the same as MES?

It can include MES-style capabilities, but we do not force every organisation into a full MES replacement. A solution may be a focused custom production application, a dashboard and workflow layer, an integration hub, or a broader execution platform depending on the need.

Can you integrate with JDE, SAP, Microsoft Dynamics or another ERP?

Yes, where suitable interfaces and access are available. Integration can use APIs, orchestration services, database views, event feeds, secure files or middleware. We first define data ownership so production logic does not conflict with the ERP.

Can the solution connect to machines, PLCs or IoT sensors?

Yes, where technically appropriate and permitted by the OT environment. Machine state, counts, alarms, measurements and condition signals can contribute to production visibility through gateways, OPC UA, MQTT, historians or other controlled interfaces.

Can you build OEE and downtime dashboards?

Yes. OEE can combine availability, performance and quality, with downtime and loss reasons designed around the actual process. We also define data-quality rules so the metric does not become misleading.

Can production management support batch and lot traceability?

Yes. Where source data exists, the system can link input material lots, process steps, equipment, operators, timestamps, quality results, intermediate outputs and finished-goods records for forward and backward traceability.

Do we have to replace spreadsheets immediately?

No. We can prioritise the spreadsheets that create the most delay, risk or duplicate work, then replace them in stages while retaining low-risk tools until there is a strong reason to move them.

Can Crown Technologies support multiple plants?

Yes. Multi-site architecture can standardise core data and KPIs while preserving site-specific routing, equipment, products, shifts, permissions and operational workflows.

From factory data to operating intelligence

Know what is happening now—and what needs attention next.

Production management should reduce the distance between an event and a decision. By connecting work orders, material, machine, quality and output data, teams can move from delayed reporting to proactive operational control.

Talk to our production technology team Explore data engineering

Manufacturing performance● LIVE

Plan attainment94.8%

Right first time98.6%

WIP age1.8h

Open exceptions3active