A platform architecture for industry 4.0 driven intelligence amplification in logistics

The aim of this doctoral consortium paper is to introduce my doctoral research proposal in the field of enterprise computing. The scientific problem that I address in my research is the limited usage of real-time data, originating from Industry 4.0 (I4.0) technologies (e.g. smart IoT devices and sensors), by Small-and Medium sized Enterprises (SMEs) in the logistics industry. I argue that the development of an industry platform for real-time data streaming and analytics would allow SMEs to benefit from such data and help them streamline their operational processes and overall performance. The main contribution of my research is a reference architecture for such a platform, geared for the needs of SMEs, and incorporating: 1) a logistics canonical data model to collect and harmonize I4.0 data, 2) an automatic schema matcher to map SME data to the logistics canonical data model, 3) autonomous data mining agents, 4) an adoption strategy based on the concept of intelligence amplification and 5) key performance indicators to measure adoption effects on operational and decisional performance

Healthcare Under Society 5.0: A Systematic Literature Review of Applications and Case Studies

Current challenges in healthcare urge the need for more productive and efficient healthcare. Healthcare technologies are expected to address these challenges as part of the Society 5.0 (S5.0) vision. Earlier research revealed a variety of digital architectures under S5.0. However, most research is based on single case studies and no cross-case analysis has been conducted in healthcare. Therefore, this paper aims to identify and analyze health-related applications that are developed and evaluated in case studies under S5.0. More specific, this paper focuses on alignment between the research and development work of the Open Healthcare Platform 2023 (OHP2023) consortium and the S5.0 reference architecture using the Adaptive Integrated Digital Architecture Framework (AIDAF). The PRISMA2020 guidelines were used to conduct a Systematic Literature Review (SLR) regarding healthcare applications and evaluations in case studies under S5.0. The initial search included 94 documents of which 23 documents were selected for this SLR. The SLR extracted 18 applications and six case studies. Based on the SLR, the use of the AIDAF by the OHP2030 consortium is visualized and described for the development of applications under S5.0 and alignment with the S5.0 reference architecture. The main limitation of the SLR is the limited depth of the cross-case analysis. In spite of this limitation, this study contributes to creating a common ground for the OHP2030 consortium, interested healthcare scholars, and professionals, to develop applications under S5.0 and align with the S5.0 reference architecture. Future research may contribute to developing a case study protocol for in-depth and cross-case analysis

Towards Automated Container Transportation by Integrating Blockchain Technology: A Case Study at XL Businesspark in Almelo

The application of blockchain has great potential in the logistics industry, especially in becausetransportation involves multiple actors and a considerable numbers of transactions. This paper presentsthe results and findings of case study research at XL Businesspark as part of the STEERS project andadds 6 use cases for blockchain technology solutions in logistics to the body of knowledge. Theapplication of blockchain is investigated in-depth at Combi Terminal Twente to automate terminalprocesses, support future applications of connected automated container transport and streamlinecommunication with warehouse facilities. The results of this case study and use cases will be furtherdeveloped and prototyped in the Spark! Livinglab