> For the complete documentation index, see [llms.txt](https://infosys.selmotech.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://infosys.selmotech.com/selmo-solution/selmo-solution-en/selmo-structure-and-standard/selmo-technical-standard-and-structure/selmo-method-in-practice/change-process-for-the-transformation-of-the-technical-implementation-process.md).

# 🔄 Change process for the transformation of the technical implementation process

**From the rigid system to the integrated, agile production environment**

Successful digitization and automation in manufacturing require not only new technologies but also a structured approach to changing existing mindsets and ways of working. This **change process** offers a practical roadmap for transforming technical implementation processes – with a focus on integration, efficiency and future viability.

***

### 1. 🧩 Starting point: Analysis of the current situation

#### 1.1 Challenges in the classical environment

* **Fragmented systems**\
  Mechanics, electrical, IT and OT work in isolation. This leads to coordination issues, friction losses and a lack of transparency.
* **Inflexible processes**\
  Existing workflows respond too slowly to market changes or new product requirements.
* **High coordination costs**\
  Coordination across departmental boundaries is time-consuming, error-prone and expensive.
* **Data is not used**\
  Sensor and process data remain unused instead of being applied for optimization or predictive maintenance.

#### 1.2 Assessment of the current situation

| Criterion      | Status                                                                           |
| -------------- | -------------------------------------------------------------------------------- |
| **Efficiency** | Low, due to media disruptions and manual handovers                               |
| **Costs**      | High, e.g. due to failures and rework                                            |
| **Time**       | Long project durations and commissioning times                                   |
| **Risks**      | High process uncertainty due to missing linkage of data, processes and functions |

***

### 2. 🎯 Target image: The desired situation

#### 2.1 Vision of a modern implementation

* **Fully integrated systems**\
  IT, OT, mechanics and electronics work together based on models. This reduces interfaces and misunderstandings.
* **Flexible, modular architecture**\
  Platform engineering, digital twins and clearly defined state models enable quick changes and extensions.
* **Data-driven decisions**\
  Real-time data flows into control, maintenance and optimization – consistently from sensor to HMI.
* **Automation from the model**\
  Processes are not programmed but modeled – deterministic, documented, testable.

#### 2.2 Benefits and potentials

| Criterion      | Improvement                                                              |
| -------------- | ------------------------------------------------------------------------ |
| **Efficiency** | Higher through automation and process clarity                            |
| **Costs**      | Lower through more precise planning and shorter iterations               |
| **Time**       | Significantly reduced through reusability and model-based implementation |
| **Risks**      | Lower thanks to transparency, standardization and digital verification   |

***

### 3. 🔧 Change management process

**How the change succeeds**

#### 3.1 Preparation

* **Identify stakeholders**\
  Who is affected? Who decides? Who implements?
* **Communicate the vision**\
  The *Why* and *What for* clearly explain: What does the change bring – individually and organizationally?

***

#### 3.2 Planning

* **Develop a transformation plan**\
  With concrete milestones, responsibilities and resource requirements.
* **Technological and personnel alignment**\
  Where is training needed? Which systems must be replaced, extended or integrated?

***

#### 3.3 Implementation

* **Conduct pilot projects**\
  Prototypes or pilot lines validate the new methodology and ensure experience is gained.
* **Training and enablement**\
  Users and developers must understand, apply and help shape the new approach.
* **Incorporate feedback loops**\
  Learn early from the system – iterative, not top-down.

***

#### 3.4 Monitoring and control

* **Define metrics (KPIs)**\
  Progress, quality and acceptance must be measurable.
* **Allow adjustments**\
  The plan is not a dogma – but an orientation. Learning is part of the process.

***

#### 3.5 Anchoring

* **Establish a culture of learning and modeling**\
  Move away from the “quick programmer” toward the structured process designer.
* **Make successes visible**\
  Communicate good practice, acknowledge contributions, strengthen motivation.

***

### 🧠 Conclusion: Technical implementation needs transformation

The change of technical implementation processes is more than a software change – it is a cultural, methodological and organizational step toward:

* **integrated thinking** (process + function + responsibility)
* **model-based working** (instead of just code)
* **formalized procedures** (traceable, verifiable, legally secure)

👉 **Selmo provides the methodological backbone** for this change:\
With formal state models, clear bit-control assignments, fully documented processes – and code that emerges from the process.

***

### 🔁 See also:

* What is the Selmo-PTF model?
* How does Selmo support formal verification and legal certainty?
* Why “model instead of code” is the future of automation


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