Innocrowd, A Contribution to an IoT Based Engineering Product Development
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Presented at CRIS 2020 by
System engineering is an approach that focuses on the realization of complex systems, from design all the way to management. Meanwhile, in the era of Industry 4.0 and Internet of Thing, the system is getting more and more complex. This complexity is among others related to the usage of smart sub systems (e.g. smart objects, new communication protocols, etc.) and new engineering product development processes (e.g. through Open Innovation). These two aspects namely the IoT related sub system and product development process are our main discussion topics in our research work. The creation of smart objects such as innovative fleets of connected devices is a compelling case. Fleets of devices in smart building, smart car or smart consumer product (e.g. cameras, sensors, etc.) are confronted with complex, dynamic, rapidly changing and resource constrained environments. In order to align with these context fluctuations we develop a framework representing the dimensions for building Self-adaptive fleets for IoT applications. The emerging product development process Open innovation is proven to be three time faster and ten time cheaper than the conventional one. However, it is relatively new to the industry, and therefore, many aspects are not clearly known, starting from the specific product requirements definition, design and engineering process (task assignment), until quality assurance, time and cost. Thereupon, the acceptance of this new approach in the industry is still limited. Research activities are mainly dealing with high and qualitative levels. Whereas methods that supply more transparent numbers remain unlikely. The project related risks are therefore unclear, consequently, the Go / noGo decisions become inconclusive. The paper contributes with ideas to handle issues mentioned above by proposing a new integrated method, we call it InnoCrowd. This approach, presented in this paper, from the perspective of IoT, can be used as a base for the establishment of a related decision support system.