Some eCommerce customers intend to purchase products not only because of price, quality, and environment-friendliness but also because of the social-cultural values of the products. For example, a customer wants to purchase products that can contribute to the operation of an orphanage or products that are made by a rural poor community from a certain country with a particular culture. However, since the products are purchased online, it is difficult for the customers to experience the social-cultural values of the products directly.
Please support Kaleb Kristo in conducting his research on identifying intrinsic and extrinsic factors that motivate customers to purchase such products using data analytics approach by participating in the following survey:
Supply chain analytics is currently a hot topic in automotive industry and an important task in production planning and control. Ishansh Gupta and Seyed Taha Raeisi gave a guest lecture session in the Bachelor’s 2nd year course “Production Planning and Control” on March 31st, 2022. The guest lecture was also attended by 3rd year bachelor students, research associates, and guests of INDEED research group.
On March 30, 2022, David Sanadze, an alumnus of IEM B.Sc. Class of 2018 gave an inspiring guest lecture. He shared his experience as a data analytics consultant at one of big four financial services in the world. The guest lecture gave a motivation for 2nd year Jacobs University students, who are taking the course “Data Management and Analytics in Industry 4.0”.
Our group conducted a collaborative research seminar with our partner university, Telkom University Indonesia, on March 28th, 2022. In the seminar, two master’s students from the study program “Information Systems” presented their Master Theses related to the Implementation of the Internet of Things for Landslide Early Warning System and Coconut Oil Production Yields Forecast using Time Series and Regression Approaches.
The Delfine project has been running for 1.5 years. We conducted the 3rd consortium meeting on February 22nd, 2022 and discussed the progress of the last six months and defined the steps for the next six months. Some results have been achieved, such as an open access publication and three conferences. In the project, we have developed novel approaches in forecasting using different machine learning models, semantic middleware using knowledge graph, and production optimization.
INDEED Research Group of Jacobs University together with Fraunhofer IBP and Karlsruhe Institute of Technology published an article in an engineering interdisciplinary journal “Advanced Engineering Informatics”. The article presents the research on an ontology-based virtual engineering method to develop and manage cyber-physical-systems which usually require simultanous engineering involving heterogenous tools and stakeholders. The article demonstrates the application of the method for automated formal verification of control logic across different control logic types and plant data.
The article can be accessed freely through the following link until February 15th, 2019.
The Production Planning and Control course of Fall 2018 has been completed. On 30 November and 6 December 2018, the students presented the result of their group project works.
The project works focused on the roles of Industry 4.0 technologies, such as Augmented Reality, Virtual Reality, Advanced Robotics, Internet of Things, Big Data, etc. in production planning and control. Some groups worked on the impacts of new production requirements, such as lot size one and green manufacturing, on the production planning and control activities. For each topic, the students had to elaborate the challenges and opportunities and to find some case studies and application examples.
The goals of the project work is to give the students some ideas how the contents of production and planning course, i.e. demand forecasting, capacity planning, aggregate and workforce planning, material requirement planning, lot-sizing, sequencing and scheduling, shop floor control, and production tracking, are applied in some use cases and how new production contexts affect them.