Impacts of IoT and big data to automotive industry

With the recent advancement in technologies such as embedded system, wireless distributed sensor, light weight material, smart cognitive radio networks, cloud computing, higher efficiency and ultra-low emission internal combustion engines, intelligent converter, high performance battery and fuel cell technology, the production of smarter, safer, energy efficient and zero emission vehicles is possible in near future. Apart from vehicle technologies, other factors such as road users', well maintained road infrastructure, well maintained vehicles, drivers' attitudes and law and enforcement are also important to be considered and they should work together in order to make our world natural resources can be preserved and maintain cleaner environment and produce sustainable mobility. This paper will discuss the impacts of IoT and Big Data and other emerging technologies mentioned above to the automotive industry. It will include discussion on education, economy, advanced technology, environment, safety and energy

Cloud and IoT-based emerging services systems

The emerging services and analytics advocate the service delivery in a polymorphic view that successfully serves a variety of audience. The amalgamation of numerous modern technologies such as cloud computing, Internet of Things (IoT) and Big Data is the potential support behind the emerging services Systems. Today, IoT, also dubbed as ubiquitous sensing is taking the center stage over the traditional paradigm. The evolution of IoT necessitates the expansion of cloud horizon to deal with emerging challenges. In this paper, we study the cloud-based emerging services, useful in IoT paradigm, that support the effective data analytics. Also, we conceive a new classification called CNNC {Clouda, NNClouda} for cloud data models; further, some important case studies are also discussed to further strengthen the classification. An emerging service, data analytics in autonomous vehicles, is then described in details. Challenges and recommendations related to privacy, security and ethical concerns have been discussed

Impacts of digital technologies on supply chain performance: a system dynamics approach

The advent of Industry 4.0 and associated digital technologies makes it possible to share information and access data real-time. Such a capability needs to be investigated in the Supply Chain Management (SCM) to study the joint impacts of digital technologies on transforming SC members’ behavior. In this paper, Cloud Computing, Internet of Things, and Big Data Analytics have been selected due to their relevant effects on real-time information sharing within different SC echelons rather than inside one echelon. Moreover, the implementation of these technologies in real SC requires high investments. Also, due to the increased complexity of the SC after applying these technologies, their impacts on SC behavior and performance should be determined precisely. This paper proposes simulation as a cost-effective and comprehensive method to investigate how digital technologies affect SC performance. A three echelon manufacturing SC has been simulated by using System Dynamics (SD) modeling under different scenarios in both traditional and digital SCM. The results reveal a significant improvement of SC performance, in terms of inventory level and cost as well as order fulfillment ratio, in digital SCs compared to traditional SCs. Future research will further develop the model by validating the simulation results with real cases from the industry

TOWARDS A FRAMEWORK FOR DIGITAL TRANSFOR-MATION SUCCESS IN MANUFACTURING

Digital Transformation (DT) affects whole enterprises and is expected to drive a disruptive change in the way people work. Digital technologies leverage changes from simple tasks to the enterprise-wide strategy. Enterprises expect major benefits from investments in DT. However, digital transformation is a complex process and hence difficult to understand. Many different use scenarios exist so that decisions about the adoption of technologies are challenging. Therefore, it is critical to understand which benefits might be achieved with DT. With our research, we contribute to the understanding of digital transformation success. We develop and evaluate a framework that covers the main dimensions of digital transformation success. Literature from IS success and DT research is used to identify these dimensions. To evaluate this framework, we use data gained in a qualitative approach. We combine findings from a literature research with qualitative results to offer deeper insights into peoples\u27 understanding of what shapes the success. The framework is useful to classify benefits achieved by DT and to point out new possibilities of gaining success with DT