In this research project, it will be investigated if and how the methods of Open Innovation can be successfully applied for the development of Smart Factory technologies.
Therefore, methods, pros and cons, challenges, and application fields of the Open Innovation approach will be discussed. Then the author reviews the relevant technological backgrounds of Smart Factories, thereby including sections about their structure, important technologies, pros and cons as well as specific challenges in developing Smart Factory technologies. After that both topics will be looked at together to investigate whether the Open Innovation practices can help to overcome the challenges of technologies in Smart Factory environments. Given the high complexity of Smart Factories, it is not achievable to do this for all included technologies. Therefore, the investigation is limited to one technology. In the examination, the best suited Open Innovation approach will be determined before a strategy for developing this technology will be designed. In the concluding chapter, the most important findings of the research project will be summarized before a conclusion is drawn and an outlook on possible future research and approaches is given.
Table of Contents
1. Introduction
2. Open Innovation
2.1. Structuring Open Innovation strategies
2.2. Criticism
2.3. Factors for choosing a strategy
3. Smart Factories
3.1. Smart Factory system architecture
3.2. Key technologies in Smart Factories
4. Open Innovation in Smart Factories
4.1. Checking the external factors
4.2. Determining the basis for the strategy
4.3. Developing a strategy
4.4. Recap
5. Closure
5.1. Summary
5.2. Conclusion and Outlook
6. References
Research Objectives and Core Themes
This research project investigates whether and how Open Innovation approaches can be applied to enable and accelerate the development of key technologies within Smart Factories, specifically targeting cyber-physical systems for small and medium-sized enterprises in the industrial engineering sector.
- Theoretical foundation of Open Innovation and its core processes (outside-in, inside-out, coupled).
- Technical architecture and key components of Smart Factories (cloud computing, IoT, and CPS).
- Evaluation of external conditions and firm-specific abilities required for Open Innovation.
- Development of a strategy for CPS innovation through strategic networks and cooperation.
Excerpt from the Book
3.1. Smart Factory system architecture
While the topic Smart Factory is widely discussed in the literature, there are surprisingly few models for the system architecture and framework of Smart Factories. A much-recognized model is the one by Jiafu Wan, who wrote several articles together with other academics, describing the Smart Factory framework consisting of four layers: the physical resource layer, the industrial network layer, the cloud layer, and the supervisory control terminal layer (Wang, Wan, Li, & Zhang, 2016; Wang, Wan, Zhang, Li, & Zhang, 2016; Chen, et al., 2018). These layers are displayed in Figure 6.
The physical resources layer contains “all manufacturing resources involved in the entire life cycle of manufacturing, which represent the basis for achievement of intelligent manufacturing” (Chen, et al., 2018, p. 6506). This includes especially smart machines, which communicate with other devices and humans and smart products, which can be identified by machines and find their way through the manufacturing network (Shrouf, Ordieres, & Miragliotta, 2014; Wang, Wan, Li, & Zhang, 2016; Appelfeller & Feldmann, 2018). In order for this to work, the resources need to be highly adaptable and equipped for real-time information acquisition (Chen, et al., 2018).
The industrial network layer enables this real-time communication between objects in the physical layer and connects the physical resources layer with the cloud layer. (Wang, Wan, Li, & Zhang, 2016). Since all smart objects in the physical layer are connected to the industrial network, the massive data they produce can be transferred to the cloud layer, where the data can be processed (Wang, Wan, Li, & Zhang, 2016). This data processing enables the above-mentioned transparency. Additionally, the industrial network layer serves as the transmitter in the other direction, for example when the factory is optimizing itself based on the analysis results.
Summary of Chapters
1. Introduction: Outlines the challenges of modern production, such as increasing complexity and the need for Smart Factories, and introduces the research question regarding the application of Open Innovation in this context.
2. Open Innovation: Defines the Open Innovation paradigm and details the three core processes: outside-in, inside-out, and coupled, while addressing potential criticisms and success factors.
3. Smart Factories: Explains the vision of Industry 4.0, describes the four-layer system architecture of Smart Factories, and analyzes key technologies including cloud computing, IoT, and CPS.
4. Open Innovation in Smart Factories: Applies the theoretical frameworks to the specific context of developing cyber-physical systems, evaluating external factors and proposing a cooperation strategy.
5. Closure: Summarizes the key findings of the research and provides a final conclusion along with an outlook for future research directions.
Keywords
Open Innovation, Smart Factories, Cyber-Physical Systems (CPS), Industry 4.0, Cloud Computing, Internet of Things (IoT), Industrial Internet of Things (IIoT), Knowledge Transfer, Cooperation, Strategic Networks, Absorptive Capacity, Innovation Management, Technological Convergence, Mechanical Engineering, Strategy Development.
Frequently Asked Questions
What is the core focus of this research?
The research examines how companies, particularly small and medium-sized mechanical engineering firms, can use Open Innovation strategies to develop Cyber-Physical Systems (CPS) for Smart Factories.
What are the primary themes discussed?
The work covers Open Innovation methodologies, the technical foundations of Smart Factories, the evaluation of innovation strategies based on industry factors, and the practical implementation of cooperation models.
What is the primary research goal?
The goal is to determine if Open Innovation practices can help overcome the technical and organizational challenges associated with developing complex technologies in Smart Factory environments.
Which scientific methodology is applied?
The thesis utilizes a literature-based review to structure Open Innovation strategies and applies qualitative evaluation criteria (such as technological intensity and turbulence) to assess the suitability of Open Innovation for CPS development.
What topics are covered in the main section?
The main section details the three core Open Innovation processes, the Smart Factory system architecture, the three key technologies (Cloud, IoT, CPS), and a strategic framework for collaborative CPS development.
Which keywords best characterize this work?
Key terms include Open Innovation, Smart Factories, Cyber-Physical Systems, Industry 4.0, and strategic cooperation networks.
Why is the "coupled process" recommended for CPS development?
It is recommended because CPS development requires combining software and mechanical engineering skills, necessitates close cooperation for interface standardization, and benefits from shared testing efforts.
What is the "disclosure dilemma" mentioned in the text?
It refers to the risk of disclosing too much knowledge during cooperation negotiations, allowing partners to proceed without an alliance, while disclosing too little prevents the collaboration from forming.
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- Simon Hiller (Autor:in), 2020, Open Innovation in Smart Factories, München, GRIN Verlag, https://www.grin.com/document/902776
