文章基本信息

标题：Innocrowd, A Contribution to an IoT Based Engineering Product Development
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作者：Camille Salinesi ; Clotilde Rohleder ; Asmaa Achtaich 等
期刊名称：Computer Science & Information Technology
电子版ISSN：2231-5403
出版年度：2020
卷号：10
期号：1
页码：1-9
DOI：10.5121/csit.2020.100101
出版社：Academy & Industry Research Collaboration Center (AIRCC)
摘要：System engineering focuses on the realization of complex systems, from design all the way tomanagement. Meanwhile, in the era of Industry 4.0 and Internet of Things, systems aregetting more and more complex. This complexity comes from the usage of smart sub systems(e.g. smart objects, new communication protocols, etc.) and new engineering productdevelopment processes (e.g. through Open Innovation). These two aspects namely the IoTrelatedsub system and product development process are our main discussion topics in ourresearch work. The creation of smart objects such as innovative fleets of connected devices isa compelling case. Fleets of devices in smart buildings, smart cars or smart consumerproducts (e.g. cameras, sensors, etc.) are confronted with complex, dynamic, rapidlychanging and resource-constrained environments. In order to align with these contextfluctuations, we develop a framework representing the dimensions for building Self-adaptivefleets for IoT applications. The emerging product development process Open Innovation isproven to be three time faster and ten times cheaper than conventional ones. However, it isrelatively new to the industry, and therefore, many aspects are not clearly known, startingfrom the specific product requirements definition, design and engineering process (taskassignment), until quality assurance, time and cost. Therefore, acceptance of this newapproach in the industry is still limited. Research activities are mainly dealing with high andqualitative levels. Whereas methods that supply more transparent numbers remain unlikely.The project-related risks are therefore unclear, consequently, the Go / noGo decisionsbecome difficult. This paper contributes ideas to handle issues mentioned above by proposinga new integrated method, we call it InnoCrowd. This approach, from the perspective of IoT,can be used as a base for the establishment of a related decision support system.
关键词：Industry 4.0; Internet of Thing; Crowdsourcing; Neural Network; Decision Support System