http://dl.gi.de/handle/20.500.12116/36602 2026-07-24T03:23:00Z http://dl.gi.de/handle/20.500.12116/36603 Frontmatter Frontmatter Article Frontmatter was published on June 1, 2018 in the journal it - Information Technology (volume 60, issue 3). 2018-01-01T00:00:00Z http://dl.gi.de/handle/20.500.12116/36607 Blockchain in Industrie 4.0: Beyond cryptocurrency Laabs, Martin; Đukanović, Siniša Industrie 4.0, the transition from static, centrally controlled production to dynamic, decentralized manufacturing, is aiming to increase product quality, customization and efficiency. Autonomous production systems and flexible inter-organizational cooperation are key challenges. Blockchain seems to be a natural fit to cope with these challenges. This article derives major challenges of I4.0 and compares them with benefits of blockchain technology. Use cases demonstrate where challenges and benefits match. Also, well known blockchain issues and possible solutions are addressed. 2018-01-01T00:00:00Z http://dl.gi.de/handle/20.500.12116/36606 Business process management for Industry 4.0 – Three application cases in the DFKI-Smart-Lego-Factory Rehse, Jana-Rebecca; Dadashnia, Sharam; Fettke, Peter The advent of Industry 4.0 is expected to dramatically change the manufacturing industry as we know it today. Highly standardized, rigid manufacturing processes need to become self-organizing and decentralized. This flexibility leads to new challenges to the management of smart factories in general and production planning and control in particular. In this contribution, we illustrate how established techniques from Business Process Management (BPM) hold great potential to conquer challenges in Industry 4.0. Therefore, we show three application cases based on the DFKI-Smart-Lego-Factory, a fully automated “smart factory” built out of LEGO ® bricks, which demonstrates the potentials of BPM methodology for Industry 4.0 in an innovative, yet easily accessible way. For each application case (model-based management, process mining, prediction of manufacturing processes) in a smart factory, we describe the specific challenges of Industry 4.0, how BPM can be used to address these challenges, and, their realization within the DFKI-Smart-Lego-Factory. 2018-01-01T00:00:00Z http://dl.gi.de/handle/20.500.12116/36609 Efficient and fast monitoring and disruption management for a pressure diecast system Hegenbarth, Yvonne; Bartsch, Thomas; Ristow, Gerald H. An increasing amount of information is collected in industrial production processes. In many cases, this data is only accessible to the vendor of the machines involved in the production process. In the government-funded research project BigPro, we propose a flexible and fast Big Data platform that allows detection and reaction to incidents and anomalies in the production process in near real-time. 2018-01-01T00:00:00Z