A Computer Science Perspective on Digital Transformation in Production

Abstract

The Industrial Internet-of-Things (IIoT) promises significant improvements for the manufacturing industry by facilitating the integration of manufacturing systems by Digital Twins. However, ecological and economic demands also require a cross-domain linkage of multiple scientific perspectives from material sciences, engineering, operations, business, and ergonomics, as optimization opportunities can be derived from any of these perspectives. To extend the IIoT to a true Internet of Production , two concepts are required: first, a complex, interrelated network of Digital Shadows which combine domain-specific models with data-driven AI methods; and second, the integration of a large number of research labs, engineering, and production sites as a World Wide Lab which offers controlled exchange of selected, innovation-relevant data even across company boundaries. In this article, we define the underlying Computer Science challenges implied by these novel concepts in four layers: Smart human interfaces provide access to information that has been generated by model-integrated AI . Given the large variety of manufacturing data, new data modeling techniques should enable efficient management of Digital Shadows, which is supported by an interconnected infrastructure . Based on a detailed analysis of these challenges, we derive a systematized research roadmap to make the vision of the Internet of Production a reality.

A Neural Network Model for Digitizing Enterprise Carbon Assets Based on Multimodal Knowledge Mapping

“…A typical example is a solution designed by Riadi et al to address the lack of multimedia information in DBpedia [ 8 ]. They use the concept of entities in DBpedia as keywords in a search engine to search the Internet and define a reasonable filtering mechanism to filter the search results, treating the results as multimedia information extended on top of DBpedia [ 9 ]. The main goal of this type of approach is to structure the processing of image metadata so that the association with graphs having knowledge graphs does not occupy a large proportion of the overall dataset.…”

Collaboration is not Evil: A Systematic Look at Security Research for Industrial Use

“…As a catalyst for our research efforts in the intersection of cybersecurity and industrial application, we can rely on an established network as a reliable way to identify realworld use cases and bootstrap interdisciplinary collaboration: Our university's cluster of excellence Internet of Production (IoP) [18], [89] brings together more than 200 researchers from more than 35 institutes, ranging from various engineering disciplines over computer science to business and social sciences. We, researchers, cooperate to jointly improve production technology, e.g., by implementing cross-domain and inter-company collaborations utilizing data from all parts of a product's lifecycle (i.e., production, development, and usage) [89].…”

“…Under the umbrella of terms such as cyber-physical systems (CPS) [55], the Internet of Production (IoP) [18], [89], and the Industrial Internet of Things (IIoT) [102], we observe an accelerating trend for digitization across all industrial sectors. Within the scope of this digitization, cybersecurity research is not only indispensable to secure industrial networks and cyberphysical systems [55], but it also provides the opportunity to realize novel forms of industrial applications and collaboration: By applying methods and tools developed by the security and privacy community to industrial use cases, we can provide functionality that was previously considered impossible due to prevalent confidentiality and privacy concerns.…”

“…Despite these promising forays, to date, only a few approaches (e.g., [9], [59], [110]) for real-world applicable, secure, and privacy-preserving industrial applications and collaborations have been proposed [18], [59]. One of the main reasons for this situation is that addressing novel use cases is challenging and requires intensive cooperation between industrial companies and cybersecurity experts to come up with suitable use case-fitting solutions.…”

The Purpose of Cybersecurity Governance in the Digital Transformation of Public Services and Protecting the Digital Environment

“…The digital space provides resources and advanced technology that supports individuals to make more profitable use of digital services in fulfilling their life requirements and assists in growing companies and institutions and meeting all the needs of citizens on a daily basis. Digital transformation provides tremendous development in economic, social, and political development and the protection of human data and rights by developing specific methods in preserving data and not allowing it to be tampered with by unauthorized persons and combating cybercrime in all its forms, which enhances a safe and stable digital environment that serves all citizens [1] [2]. Cybersecurity is one of the most influential priorities followed by companies and institutions in providing secure electronic environments by developing clear strategies and relying on artificial intelligence techniques [3].…”