## 2 Materials and Methods
#### Analyzed Models of Readiness  
As mentioned above, CMMI model serves as a key concept for most types of preparedness models. During our research, around fifty models were found, which assessed the company's readiness for the Industry 4.0 concept. After the first selection in terms of quality and suitability for further research, a total of 35 models were analyzed. Some are very complex, some more concise ones. For the analyzed dimensions, the focus of the models plays a role. Some models are designed more for production areas, some for logistics or information security. Only their name and source will be listed in this subchapter. A detailed analysis with all the main parameters important for this research concerned the following Industry 4.0 readiness models:  
1. Impulse--Industry 4.0 Readiness [41; 42].
2. SIMMI 4.0--A Maturity Model for Classifying the Enterprise [43].
3. PwC Maturity Model 4.0: Building the Digital Enterprise [44].
4. A Maturity Model for Assessing Industry 4.0 Readiness and Maturity.
5. A Maturity Model for Assessing the Digital Readiness of Manufacturing [45].
6. Development of an Assessment Model for Industry 4.0: Industry 4.0-MM [46].
7. M2 DDM--A Maturity Model for Data-Driven Manufacturing [47].
8. The Singapore Smart Industry Readiness Index [48].
9. Rockwell--The Connected Enterprise Maturity Model [49].
10. Model according to the Working Group of the company firma4.cz [50].
11. Digitalization Degree in the Manufacturing Industry in Germany [51].
12. Digital Maturity & Transformation Study St. Gallen [52].
13. Cappemini-Asset Performance Management Maturity Model [53].
14. Towards a Smart Manufacturing Maturity Model for SMEs [54].
15. Preliminary Maturity Model for Leveraging Digitalization in Manufacturing [55].
16. The Logistics 4.0 Maturity Model [56].
17. Cybersecurity in the context of Industry 4.0 [57].
18. Study based analysis on the current digitalization degree in the manufacturing [58]
19. Concept for an evolutionary maturity based Industry 4.0 migration model [58].
20. Roadmapping towards industrial digitization based on an Industry 4.0 [59].
21. Contextualizing the outcome of a maturity assessment for Industry 4.0 [60].
22. The Reference Architectural Model Industrie 4.0 [61].
23. A Categorical Framework of Manufacturing for Industry 4.0 and Beyond [62].
24. Acatech Industrie 4.0 Maturity Index [63].
25. An Overview of a Smart Manufacturing System Readiness Assessment [64].
26. Maturity and Readiness Model for Industry 4.0 Strategy [65].
27. A Smartness Assessment Framework for Smart Factories [66].
28. Three stage maturity model in SME's toward Industry 4.0 [67].
29. Intelligent Logistics For Intelligent Production Systems [68]
30. Logistics maturity of the service industry [69].
31. Defining and assessing industry 4.0 maturity levels--Case of the defence sector [70].
32. Maturity Levels For Logistics 4.0 Based On Nrw'S Industry 4.0 Maturity Model [71].
33. Logistics 4.0 Maturity in Service Industry: Empirical Research Results [72].  
The readiness models for the Industry 4.0 concept always work with the main parameters, which are the analyzed areas (dimensions) and levels. Areas define the model, so some multi-dimensional models are more complex and cover a wider range of business areas [73; 74], some are profiled in detail for a change. The second main parameter is the evaluation levels. Models use different numbers, characteristics, and definitions. However, there are other attributes that the models have and it is important to know them. Using scientific terminology, in the form of a method of analysis and comparison, the mentioned models were searched. In addition to these methods, the method of abstraction is also performed, where the potential of evaluation of internal logistics in some of the dimensions is sought in the models.