Automation plays a critical role in long-term success for manufacturing companies, regardless of industry or company size. It is one of the most effective ways to improve the competitiveness of production and intralogistics. The key question is not whether to automate, but where and to what extent automation is economically viable.
Ingenics Consulting evaluates the right vendor-neutral manufacturing technologies and level of automation for your production environment, supporting implementation from start to finish, from the initial automation assessment and technical and financial evaluation of automation concepts to the integration of robotics and fully automated manufacturing technologies.
Automation solutions support the entire value chain, including in manufacturing (e.g., assembly, process automation, HRC) to quality assurance (e.g., automated measurement, inline inspection) and logistics (e.g., AGV/AMR, conveyor technology, warehouse automation).
When implementing automation, many companies face a common pattern. Instead of integrating automation solutions into an overarching strategic vision, many companies implement them individually and without full integration into their production systems. As a result, the lack of efficiency gains is rarely a technology issue.
Pilot projects often serve only as proof of concept, but cannot be scaled into production because essential prerequisites, such as data availability, process stability, and interface management, were not systematically addressed. This leads to isolated solutions that deliver local benefits but fail to create a connected impact across the value stream.
Cost-Effective Automation
Before investing, three questions will determine the success of your production automation:
We answer these questions through a structured potential analysis (quick check) and create a reliable foundation for decision-making. This approach turns operational challenges into opportunities for economically viable automation in your production.
These approaches can be applied effectively in companies of all sizes. The key factor is a structured initial assessment, not the size of the investment.
Before you invest in robotics, cobots, or conveyor technology, we develop a technology roadmap that aligns your automation strategy with both strategic objectives and operational requirements.
It is the foundation of our consulting approach and enables a structured roadmap for implementing automation in line with your operational needs. We focus on four key areas:
What specific goals are you pursuing, such as increasing output, improving quality, reducing physical strain, addressing skilled labor challenges, or improving space utilization? Clearly defining these objectives is essential for selecting the right technology.
Design for Automation (DfA) ensures that product design and process design are aligned for efficient automation. We assess whether your product can be assembled automatically and whether your production processes are suitable for automated implementation.
Which process steps, from material supply and assembly to downstream logistics, can be automated cost-effectively using today’s technologies? We evaluate where traditional industrial robots, cobots, and autonomous transport systems deliver the greatest value
A comprehensive cost-benefit analysis considers direct and indirect costs, expected savings, and productivity gains. It calculates ROI (e.g., for robotic solutions) to provide a reliable basis for investment decisions.
Robotics, HRC, AGV, and Conveyor Technology in a Maturity Comparison
The right manufacturing technology depends on the process requirements, product variety, and desired level of automation maturity. We classify potential technologies using a five-stage maturity model and provide a clear overview of which solutions can reliably meet your requirements today, and where future developments may offer additional opportunities.
Individual work steps are automated, and humans remain central to the process. This approach requires low CAPEX, offers high flexibility, and is well suited for rapid pilot projects.
Defined subprocesses operate fully automated, while remaining integrated into an otherwise manual production line (e.g., for repetitive assembly or inspection tasks).
Multiple automated process steps are connected, with automated material flow between them. Integration complexity increases along with the potential for greater efficiency gains.
Cobots, HRC solutions and flexible conveyor technology form the foundation of this stage. As modular and reconfigurable systems, they adapt to changing product variants and production volumes.
The vision of the factory of the future is highly autonomous production enabled by AI-powered control systems, self-learning technologies, predictive maintenance, and digital twins, allowing processes to operate with minimal human intervention.
From Robotics to Quality Assurance
A structured evaluation creates the foundation for informed decisions; successful implementation determines the long-term impact. Ingenics Consulting supports your automation project through five clearly defined phases, from the initial Quick Check to final acceptance.
In the first step, we develop a detailed understanding of your production and intralogistics through workshops and on-site assessments. Based on structured criteria, including processes, components, ergonomics, material supply, workforce models, and costs, we identify and prioritize the areas with the greatest automation potential.
The result: a clear overview of the most impactful opportunities, providing the foundation for all subsequent steps.
Based on prioritized opportunities, we develop a vision for your automation. During this phase, we select the appropriate robotics and automation technology, define the division of labor between humans and machines, and create concept profiles with clear ROI goals, which serve as the foundation for subsequent detailed planning.
In the final phase, we support the implementation of your automation project, from design and production through to installation and commissioning.
Site coordination, schedule and cost tracking, issue resolution, performance testing, and final acceptance are integral parts of our support, along with operator and maintenance training. The result is a fully operational system that delivers reliable performance from day one.
Strategically planned automation delivers measurable results, not through technology alone, but through the combination of the right technology selection, well-designed processes, and an integrated data foundation.
In our production automation projects, typical results include:
-30%
+10–15%
–10%
–15%
–5%
–5%
+10%
The transformation into the digital factory of the future or “smart factory” is often viewed as a purely technological issue. In reality, it is primarily an integration challenge. To scale automation successfully, companies need real-time data, connected systems, and a clear understanding of their current maturity level. Then technology comes next.
We define smart automation as the intelligent automation of processes through the combination of data and artificial intelligence. It enables systems not only to execute processes but also to continuously improve them. Real-time analytics allow processes to be monitored, adjusted, and optimized immediately. At the core are self-learning systems that continuously improve through experience. This enables proactive optimization, allowing companies to identify potential issues before they occur and respond quickly to changing requirements.
The core principle is that systems learn, make decisions, and continuously optimize themselves to shorten response times, improve processes, and increase efficiency.
Smart automation emerges when strategy, processes, people, and technology are systematically connected from the start.
The value of an integrated smart factory comes from the combined impact of multiple capabilities: automation solutions can be scaled and adapted to changing market requirements, material flow bottlenecks can be identified early and proactively addressed, and investment decisions can be based on reliable real-time data rather than historical assumptions.
The result is production that operates efficiently while remaining flexible and adaptable, a key requirement for long-term competitiveness.
As a management consultancy specializing in manufacturing with over 45 years of experience, we combine strategic assessment with operational implementation, from the initial quick check to a fully operational facility. Our team supports you with technology-specific, vendor-neutral expertise based on insights from more than 10,000 completed projects across the automotive industry, mechanical engineering, aerospace, large-engine production, and other industries.
Production automation is closely connected to other key elements of efficient manufacturing. Learn how we support you across the following service areas:
Whether automation is implemented in a brownfield or greenfield setting, every decision is made within the context of the overarching factory concept.
Anyone who wants to evaluate automation from an economic perspective needs a sound production plan as a starting point.
Automation is effective only if the material flow is also strategically considered—from the AGV layout to the handoff between process stations.
When robots take over monotonous and ergonomically taxing tasks, it changes the way workplaces need to be designed.
Humanoid robots are not yet economically viable in production. This technology is still in an early development phase, where extensive training data must be collected to enable reliable use in real manufacturing environments. Today, companies should focus on building a strong data foundation and leveraging proven technologies such as cobots and industrial robotics. As humanoid systems become ready for industrial-scale deployment. We support you in integrating them into your automation strategy.
Yes, but not in every form. Complete end-to-end automation is only valuable for stable processes and high production volumes. When there is a wide variety of variants and small batch sizes, flexible automation solutions make more sense, such as cobots, modular systems, HRC applications, and reconfigurable conveyor technology.
Three factors are crucial for brownfield automation. A clear phased plan for the digital factory that includes a potential analysis, a carefully planned conversion strategy that allows production to continue uninterrupted, and consistent supplier and interface management between ERP systems and automated production. Technology itself is rarely the bottleneck. The real challenge is coordinating construction, IT, and production activities in parallel. Our five-stage approach, from automation assessment to final acceptance, is designed to address this complexity.
Design for Automation means designing a product during the concept phase so that it can be efficiently automated and adapted for automation at a later stage if needed. By evaluating component geometry, tolerances, handling requirements, and joining processes for DfA suitability before making investment decisions, companies can prevent automation solutions from failing due to product design limitations. DfA is often underestimated in practice, even though it is a key factor in determining the economic viability of automation.
