Agility in hardware development
Agile PEP - how physical products are created faster and closer to the market
The product development process (PDP) describes all steps from the initial idea to the (series) production of a product. In many companies, this process has grown historically, is organized in a highly sequential manner and is designed for predictability.
markets change faster than traditional development processes can react. An agile product development process combines the necessary structure of a PDP with iterative learning, rapid integration and clear prioritization.
What is a product engineering process (PEP)?
The product development process is the central process of a manufacturing company. It includes all activities from:
- Idea and market requirement
- Concept development
- Design and prototyping
- Test and validation
- to series production and market launch
He is therefore the link between strategy, development and production.
Why classic PEPs are reaching their limits
Long development cycles (24-48 months), late integration problems, many parallel projects without focus and low customer involvement are typical symptoms from the practice of many manufacturing companies. These problems do not arise because the PDP is wrong - but because it is often implemented too rigidly and sequentially .
The classic error of reasoning:
First fully understand > then develop > then test
In the reality of complex products, this works less and less often.
What does an agile PEP look like?
An agile product development process is not a fixed framework - but an interplay of structure and dynamics. It does not end with development. A holistic approach considers the entire life cycle:
- Idea & Business Case
- Development & Validation
- Industrialization
- Production & scaling
- Utilization & feedback from the market
Lean development extends the PDP in precisely this direction, across the entire product life cycle. The key difference: development is not optimized in isolation - but understood as part of a value stream.
Typical elements of an agile PEP are
- Clear milestones - but flexible paths: Milestones remain important (e.g. design freeze). However, the way there is designed iteratively.
- Short learning cycles instead of long phases: Instead of months of concept phases, quick experiments, partial prototypes, simulations and early tests are created.
- Continuous integration: Components are not only brought together at the end, but are regularly integrated and tested.
- Cross-functional teams: Mechanics, electronics, software, production and quality assurance work together on a product - not one after the other.
- Value stream instead of silos: The focus is shifting from departments to the end-to-end flow from idea to delivery.
Classic PEP
- phase-oriented
- late integration
- planning dominates
- learning at the end
Agile PEP
- iterative and incremental
- early & frequent integration
- learning dominates
- decisions based on feedback
We would be happy to support you in accelerating your product development using proven success patterns. Arrange an individual PEP workshop.
Why agility often does not immediately facilitate the launch of physical products
A typical expectation when starting with agile methods is that everything will be faster. But the reality is often different. Agility makes problems visible that were previously hidden:
- Unclear requirements
- Lack of prioritization
- Dependencies on suppliers
- unsuitable organization
As a result, the launch is often not easier in the short term, but more transparent, honest and easier to manage. However, in the long term:
- Less risk
- More stable dates
- Higher hit rate on the market
What role does AI play in the product development process?
Artificial intelligence is also beginning to change the product development process for physical products, albeit in a different way than in software development. While entire code modules are already being generated or tests automated in software today, the benefits of AI in the hardware environment lie primarily in making it possible to analyze complex relationships more quickly, evaluate variants more efficiently and prepare decisions more thoroughly. AI can provide valuable support, especially where large amounts of data, numerous dependencies or recurring testing tasks play a role.
Typical fields of application for AI in the hardware industry are
- Simulation & modeling (e.g. variant evaluation)
- Requirements analysis (consistency, completeness)
- Test generation
- Error analysis in prototypes
- Optimization of designs
At the same time, it would be a misunderstanding to see AI as the actual lever for agility. It can speed up processes, consolidate information and reduce the workload of teams, but it is no substitute for clear product logic, good architecture or functioning collaboration across disciplines. If requirements are unclear, interfaces are poorly defined or decisions are made too late, even the use of AI will not solve these structural problems.
Agile PEP as a response to increasing complexity
An agile product development process does not contradict the requirements of professional product development, but is a response to the increasing complexity, uncertainty and dynamism that companies have to deal with today. Whereas traditional product development processes were primarily geared towards validation, phase logic and plan fulfillment , an agile PDP shifts the focus more towards learning, integration and rapid feedback. It is therefore not a question of abandoning structure, but of developing it further so that it works better under real conditions - by strengthening cross-functional collaboration, making partial results visible earlier and not hiding risks until the end.
Questions and answers about agile PEP
The classic PEP is strongly phase-oriented and sequentially structured.
An agile PEP works iteratively, integrates early on and uses feedback for control.
Yes, it is crucial to integrate regulatory requirements early and continuously instead of checking them at the end.
No. In practice, the existing PEP will be further developed - not replaced.
Milestones remain, but the working methods in between change.
Typical entry:
- Creating transparency about the current process
- Identify biggest bottlenecks
- Introduce the first iterative learning cycles
- Implement integration earlier
- Improving collaboration between disciplines
AI supports analysis, simulation and automation. However, the biggest lever remains the organization of the development process.
We are happy to support you in accelerating your product development based on proven success patterns.
Agility in hardware development
Anyone developing physical products today is under massive time pressure. While European companies often have development cycles of several years, Asian competitors launch new products on the market at much shorter intervals. Agility in hardware development does not mean "copying software methods", but learning to move forward.
MVP in manufacturing companies
Agile methods promise faster learning and shorter development cycles, but one of the central tools of agile product development, the MVP, seems at first glance to be hardly compatible with the realities of mechanical engineering or electronics production. However, the problem is not a contradiction in the method, but a misunderstanding of what an MVP means in the hardware context. Let us explain.
Your contact: Agility in the hardware environment
Malte Foegen
