Production Scaling and Efficiency Consulting
Validate how to increase capacity, improve performance and reduce investment risk before committing CAPEX.
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600+ projects delivered
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20+ years of industrial automation experience
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One partner from diagnosis to stable, scalable production
about
Turn Growth Targets into a Scalable Production System
Engineering-led service
Whether you are planning a new factory, expanding capacity or improving an existing process, we define how people, equipment, material flow and production data should work together.
how it works
A Clear Route from Production Question to Decision
The engagement follows three visible steps. Each step has a clear purpose and output, so the process does not depend on hidden stages or a predefined technology choice.
- 01 / Understand Define the Production Question Align the business objective, expected volumes, product needs, constraints and success measures.
- 02 / Validate Build the Target Production Model Connect process, people, equipment, material flow and data in a technically feasible concept.
- 03 / Decide Select the Right Implementation Path Use validated evidence to prioritise improvements, commit CAPEX or continue into engineering and production launch.
What You Receive
A clear route to the required production performance: a focused diagnosis, validated concept and business case, or implementation support. Where needed, production simulation help compare scenarios before physical implementation.
How You Stay in Control
You control the scope, CAPEX and next decision. Each cooperation level ends with a clear decision gate, allowing you to use the evidence internally or continue into implementation.
who it is for
Where Early Engineering Creates the Most Value
For manufacturers planning a new factory, expanding capacity, industrialising a product or improving performance. We validate the production model before costly decisions are fixed.
Greenfield Factory Planning
The challengeDefine the production system before major investment decisions fix capacity, cost and risk.
- Define capacity and process architecture
- Plan factory layout and material flow
- Set the automation and data strategy
Brownfield Capacity Expansion
The challengeIncrease output within existing space, equipment and ongoing production constraints.
- Identify bottlenecks and available capacity
- Optimise layout, flow and line balancing
- Compare upgrade and automation scenarios
New Product Industrialisation and Ramp-Up
The challengeTurn a new product into a stable and scalable serial production process.
- Assess design for automated assembly
- Define testing and traceability
- Plan takt, capacity and ramp-up
Production Performance Improvement
The challengeIdentify the real constraint behind insufficient output, OEE, lead time or unit cost.
- Analyse processes and production losses
- Improve cycle time, OEE and changeovers
- Prioritise automation, flow and data actions
decisions validated before implementation
What Data-Based Production Engineering Can Change
Selected Nextomation projects show how simulation and engineering analysis can replace early assumptions with a leaner and more reliable production concept.
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7 → 3
planned operators after simulation and layout optimisation
Electronics Assembly Line
The initial concept assumed seven operators around four fixed production machines. Simulation and layout optimisation reduced the planned requirement to three operators while validating throughput, workstation placement and buffer capacity.
Read the electronics line optimisation case study
02
40 → 20
pallet magazine positions after simulation-led concept review
Automated CNC, Washing and EOL System
A simulation-led concept review reduced the pallet magazine from 40 to 20 positions and confirmed that one robot and one linear track could be removed. The model also validated 24-hour operation and a component buffer for 72 hours of autonomy.
Read the CNC automation and CAPEX optimisation case study
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33 min
to reach full target performance
€100k+
commissioning modification risk addressed
Automated Container Washing Line
Process simulation identified congestion and buffer logic that would have delayed stable performance. The revised concept reached full target performance after 33 minutes instead of several hours, supported expansion from four to six washing sections and addressed commissioning modifications estimated above EUR 100,000.
Read the container washing line simulation case studyExplore more data-backed results from industrial automation projects.
Read morelevels of collaboration
From Diagnosis to Implementation at Your Pace
The service is modular. You can commission one level as a standalone decision package or continue through the complete programme. The scope is agreed around your business question, available data and investment stage.
Quick Diagnosis
Purpose
Understand the current state and identify the highest-value opportunities.
Typical scope
- Business objectives and KPI baseline
- Production-process audit
- Bottleneck, loss and risk analysis
- Initial capacity, flow and data assessment
Decision output
As-is diagnosis, quantified improvement potential, priority list and a decision on whether to develop a target concept.
Analysis and Concept
Purpose
Design and validate the target production model before CAPEX is committed.
Typical scope
- To-be process and operating model
- Layout and material flow
- Automation and intralogistics scenarios
- Simulation and technical concept
- CAPEX, ROI and TCO analysis
Decision output
Recommended concept, validated assumptions, implementation roadmap, URS or RFQ basis and an investment decision package.
Implementation and Ramp-Up
Purpose
Turn the selected concept into stable production and reach the agreed performance targets.
Typical scope
- Detailed engineering
- Technology and supplier selection
- Integration and commissioning
- Training and ramp-up
- KPI monitoring and optimisation
Decision output
Production-ready system for scaling, acceptance evidence, stabilised process, handover and a long-term improvement plan.
Not sure which level you need? Start with the production question, not a predefined package.
Define the Right Starting Pointdelivery method
Six Stages from Business Challenge to Stable Production
A structured engineering path connects business goals with the production decisions required to validate and deliver the right system. Each stage ends with a defined output and decision gate.
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Diagnosis
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Business Challenge
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Diagnosis
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Current State
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Concept
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Target Model
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Concept
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Validation
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Implementation
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Investment Preparation
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Implementation
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Ramp-Up and Continuous Support
scope
The Scope Is Built Around Your Constraint
A capacity problem rarely sits in one place. We combine the disciplines required to identify the real constraint and define the right production response.
Integrated Engineering for Production Scaling and Efficiency
One multidisciplinary team connects product, process, technology, investment and implementation decisions.
Production Process Analysis
Process mapping, bottlenecks, takt, cycle time, workload, line balancing and loss priorities.
Product Readiness for Automation
Design for automated assembly, tolerance chains, handling risks, quality and process feasibility.
Factory and Line Planning
Capacity, line concepts, layout, buffers, utilities, ergonomics and expandability.
Automation and Robotics Strategy
The right automation level, manual and automated concepts, robotics and handling technologies.
Intralogistics and Material Flow
Material routes, replenishment, WIP, buffers, packaging flow and AMR or AGV assumptions.
Quality, Testing and Traceability
Vision inspection, automated testing, quality gates, genealogy and rework logic.
Simulation and Digital Validation
Production simulation of throughput, bottlenecks, layouts, operators, buffers and material flow.
Investment Preparation
Concept variants, URS and RFQ, CAPEX, ROI, TCO, roadmap, risk register and supplier evaluation.
Implementation and Ramp-Up
Engineering, integration, commissioning, training, acceptance, stabilisation and lifecycle support.
Safety and Compliance Assumptions
Early identification of machinery, low-voltage and Ex-zone requirements for the project.
business benefits
Turn Production Decisions into Measurable Business Outcomes
The programme connects engineering decisions with capacity, investment, operational risk and implementation readiness — giving management a clearer basis for deciding what to improve, validate or invest in.
More Capacity with Controlled CAPEX
Increase production capacity while focusing investment on the processes, equipment and automation that create measurable value.
Lower Operational and Implementation Risk
Identify bottlenecks, technical dependencies and implementation risks before they become costly changes during industrialisation.
A Validated Production Model
Validate capacity, process assumptions, layout, material flow and automation concepts before committing to physical implementation.
Clear Specifications and Decision Criteria
Turn engineering findings into a structured basis for CAPEX, supplier discussions, RFQs and implementation decisions.
Designed for decision-makers: CEO, COO, CTO, CFO, Plant Management, Quality and Procurement.
why Nextomation
Recommendations Designed for Real Production Conditions
Nextomation combines three roles in one organisation: production-system advisor, automation integrator and equipment manufacturer. This matters because the team developing the recommendation understands how it will be engineered, built, commissioned and supported.
Production-System Advisor
Start with the Production Decision
We begin with the business objective, product requirements, expected volumes and operational constraints. The role of the advisor is to identify the real production challenge, compare improvement scenarios and define the right production model before technology and CAPEX decisions are fixed.
Automation Integrator
Translate the Concept into an Integrated System
Our mechanical, electrical, software, robotics, vision, testing and process teams turn the selected concept into a coordinated engineering solution. Interfaces, cycle times, material flow, controls and production data are developed as one complete system.
Equipment Manufacturer
Build for Real Production Conditions
Because Nextomation also manufactures, commissions and supports production equipment, recommendations are developed with practical implementation in mind. The final concept considers buildability, maintainability, operator use, ramp-up and stable long-term production.
01 We Can Continue from Advice into Delivery
The concept does not end when the report is accepted. When required, our mechanical, electrical, software, robotics, vision, testing and process teams can take the selected solution into detailed engineering and implementation.
02 We Connect Technical Decisions with Business Goals
Capacity, quality, staffing, floor space, flexibility, unit cost, timeline and CAPEX are considered together. Technology is selected only after the production objective and constraints are understood.
03 We Validate Assumptions Before Physical Changes
Feasibility studies and production simulation help compare scenarios, expose bottlenecks and challenge oversizing while changes are still faster and less expensive to make.
04 We Work Across the Complete Production System
Our teams connect assembly, process technology, robotics, testing, vision, intralogistics, controls and production data instead of optimising one component in isolation.
05 We Remain Responsible Through Ramp-Up and Support
The final test is stable production. Our role can extend through commissioning, KPI stabilisation, training, service, upgrades and the next improvement cycle.
industries
Production Scaling Across Demanding industries
The method remains consistent, but the production constraints change by sector. We adapt the process architecture, technologies, validation methods and investment logic to the product, volume, risk and compliance profile of each application.
High-volume and safety-critical production
Automotive
High-volume and safety-critical assembly, testing and traceability for e-mobility, ADAS, thermal systems and mechatronic products.
Explore Automotive
Precision and high product variability
Electronics and Communication
Precision assembly, optical alignment, sealing, functional testing and flexible automation for short product lifecycles and high variant levels.
Explore Electronics and Communication
Scalable multi-variant manufacturing
Consumer Goods
Scalable production for batteries, eBike systems, workshop and garden equipment, smart-home devices and other multi-variant products.
Explore Consumer Goods
Resilient and controlled production
Defence and High-Reliability Manufacturing
Simulation-led production concepts, controlled processes, autonomy, testing, documentation and traceability where resilience and repeatability are critical.
contact us
Define the Right Next Step Before You Commit CAPEX
Planning a new factory, scaling an existing line or preparing an automation investment? Share your challenge and we will help define what should be analysed, validated and specified before execution.
What happens next?
- 01 We review your production challenge.
- 02 Robert coordinates the right engineering experts.
- 03 You receive a proposed scope for the next step.
Discuss Your Production Challenge
Tell us what you are planning or what is limiting production today. Robert and the relevant engineering team will review your enquiry.
faq
Production Scaling and Manufacturing Efficiency Consulting FAQ
01 What is manufacturing efficiency consulting?
Manufacturing efficiency consulting analyses how products, processes, people, equipment, material flow and production data work together. The aim is to identify the real constraints on output, quality, cost or scalability and turn the findings into a validated improvement or investment plan.
02 When should a manufacturer use production scaling consulting?
It is most valuable before a greenfield or brownfield investment, during new-product industrialisation, when demand is expected to rise, or when an existing production system is missing its targets. Early involvement gives more freedom to improve the concept before equipment, layout and supplier decisions are fixed.
03 What does a production process audit include?
The scope can include process mapping, takt and cycle-time analysis, bottleneck identification, equipment and operator utilisation, material flow, WIP and buffers, quality losses, downtime, changeovers, maintenance dependencies and production-data availability. The audit is tailored to the decision the client needs to make.
04 Can production be improved without replacing the entire line?
Yes. The diagnosis may identify changes in process sequence, operator allocation, buffer logic, changeovers, controls, data visibility, testing or internal logistics. Replacement or new automation is recommended only when it creates a stronger business and operational result than improving the existing system.
05 What deliverables does Nextomation prepare?
Depending on scope, deliverables can include a current-state diagnosis, target-state concept, capacity model, layout, simulation report, technical specification, URS, RFQ package, CAPEX estimate, ROI or TCO model, risk register, implementation roadmap and acceptance criteria.
06 How does simulation support the process?
Simulation tests how machines, operators, robots, buffers and material flow interact under defined assumptions. It helps compare scenarios, identify bottlenecks, verify throughput and challenge oversizing before physical equipment is built or an existing layout is changed.
07 Can we stop after the diagnosis or concept stage?
Yes. The three-level model is designed around decision gates. You can use the diagnosis to prioritise actions, use the concept and business case to support an investment decision, or continue with Nextomation through engineering, implementation and KPI stabilisation.
08 How long does a consulting project take?
The duration depends on the selected cooperation level, number of processes, available data, site access and required validation. A focused diagnosis is shorter than a multi-scenario concept and simulation programme. The schedule and deliverables are agreed after the initial scoping discussion.
