TY - JOUR A1 - Luft, Angela A1 - Luft, Nils A1 - Arntz, Kristian T1 - A basic description logic for service-oriented architecture in factory planning and operational control in the age of industry 4.0 JF - Applied Sciences N2 - Manufacturing companies across multiple industries face an increasingly dynamic and unpredictable environment. This development can be seen on both the market and supply side. To respond to these challenges, manufacturing companies must implement smart manufacturing systems and become more flexible and agile. The flexibility in operational planning regarding the scheduling and sequencing of customer orders needs to be increased and new structures must be implemented in manufacturing systems’ fundamental design as they constitute much of the operational flexibility available. To this end, smart and more flexible solutions for production planning and control (PPC) are developed. However, scheduling or sequencing is often only considered isolated in a predefined stable environment. Moreover, their orientation on the fundamental logic of the existing IT solutions and their applicability in a dynamic environment is limited. This paper presents a conceptual model for a task-based description logic that can be applied to factory planning, technology planning, and operational control. By using service-oriented architectures, the goal is to generate smart manufacturing systems. The logic is designed to allow for easy and automated maintenance. It is compatible with the existing resource and process allocation logic across operational and strategic factory and production planning. KW - manufacturing data model KW - production planning and control KW - manufacturing flexibility KW - technology planning KW - SOA KW - service-oriented architectures KW - factory planning Y1 - 2023 U6 - http://dx.doi.org/10.3390/app13137610 N1 - This article belongs to the Special Issue "Smart Industrial System" VL - 2023 IS - 13 PB - MDPI CY - Basel ER - TY - JOUR A1 - Ferrein, Alexander A1 - Rens, Gavin A1 - Poel, Etienne van der T1 - A BDI agent architecture for a POMDP planner / Rens, Gavin ; Ferrein, Alexander ; Poel, Etienne van der Y1 - 2009 N1 - 9th International Symposium on Logical Formalization of Commonsense Reasoning: Commonsense 2009, Toronto, Canada, 1-3 June, 2009 SP - 1 EP - 6 ER - TY - BOOK A1 - Laack, Walter van T1 - A better history of our world / Vol. 1. The universe Y1 - 2001 SN - 978-3-8311-1490-0 N1 - [Eine bessere Geschichte unserer Welt ] PB - van Laack CY - Aachen ER - TY - BOOK A1 - Laack, Walter van T1 - A better history of our world / Vol. 2. Life Y1 - 2002 SN - 978-3-8311-2597-5 N1 - [Eine bessere Geschichte unserer Welt ] PB - van Laack CY - Aachen ER - TY - BOOK A1 - Laack, Walter van T1 - A better history of our world / Vol. 3. Death Y1 - 2003 SN - 978-3-936624-01-4 N1 - [Eine bessere Geschichte unserer Welt ] PB - van Laack CY - Aachen ER - TY - JOUR A1 - Schöning, Michael Josef A1 - Schütz, S. A1 - Schroth, P. A1 - Weißbecker, B. A1 - Steffen, A. A1 - Kordos, P. A1 - Hummel, Hans E. T1 - A BioFET on the basis of intact insect antennae JF - Sensors and Actuators B. 47 (1998), H. 1-3 Y1 - 1998 SN - 0925-4005 SP - 235 EP - 238 ER - TY - JOUR A1 - Schöning, Michael Josef A1 - Schütz, S. A1 - Riemer, A. A1 - Weißbecker, B. A1 - Steffen, A. A1 - Kordos, P. A1 - Lüth, H. A1 - Hummel, Hans E. T1 - A BioFET on the basis of intact insect antennae JF - Proceedings of the 11th European Conference on Solid-State Transducers / Eurosensors XI, September 21 - 24, 1997, Warsaw, Poland. [Organised by] Warsaw University of Technology. Vol 2. Y1 - 1997 SN - 83-908335-0-6 N1 - Eurosensors ; (11, 1997, Warszawa) ; Eurosensors - European Conference on Solid-State Transducers ; (11 : ; 1997.09.21-24 : ; Warsaw) SP - 1461 EP - 1464 PB - Sensor Lab Sp. CY - Warsaw ER - TY - JOUR A1 - Ferrein, Alexander A1 - Meyer, Thomas T1 - A Brief Overview of Artificial Intelligence in South Africa JF - AI Magazine N2 - South Africa in recent years is the establishment of a number of research hubs involved in AI activities ranging from mobile robotics and computational intelligence, to knowledge representation and reasoning, and human language technologies. In this survey we take the reader through a quick tour of the research being conducted at these hubs, and touch on an initiative to maintain and extend the current level of interest in AI research in the country. Y1 - 2012 U6 - http://dx.doi.org/10.1609/aimag.v33i1.2357 SN - 0738-4602 VL - 33 IS - 1 SP - 99 EP - 101 PB - AAAI CY - Menlo Park ER - TY - JOUR A1 - Kreyer, Jörg A1 - Müller, Marvin A1 - Esch, Thomas T1 - A Calculation Methodology for Predicting Exhaust Mass Flows and Exhaust Temperature Profiles for Heavy-Duty Vehicles JF - SAE International Journal of Commercial Vehicles N2 - The predictive control of commercial vehicle energy management systems, such as vehicle thermal management or waste heat recovery (WHR) systems, are discussed on the basis of information sources from the field of environment recognition and in combination with the determination of the vehicle system condition. In this article, a mathematical method for predicting the exhaust gas mass flow and the exhaust gas temperature is presented based on driving data of a heavy-duty vehicle. The prediction refers to the conditions of the exhaust gas at the inlet of the exhaust gas recirculation (EGR) cooler and at the outlet of the exhaust gas aftertreatment system (EAT). The heavy-duty vehicle was operated on the motorway to investigate the characteristic operational profile. In addition to the use of road gradient profile data, an evaluation of the continuously recorded distance signal, which represents the distance between the test vehicle and the road user ahead, is included in the prediction model. Using a Fourier analysis, the trajectory of the vehicle speed is determined for a defined prediction horizon. To verify the method, a holistic simulation model consisting of several hierarchically structured submodels has been developed. A map-based submodel of a combustion engine is used to determine the EGR and EAT exhaust gas mass flows and exhaust gas temperature profiles. All simulation results are validated on the basis of the recorded vehicle and environmental data. Deviations from the predicted values are analyzed and discussed. Y1 - 2020 U6 - http://dx.doi.org/10.4271/02-13-02-0009 SN - 1946-3928 VL - 13 IS - 2 SP - 129 EP - 143 PB - SAE International CY - Warrendale, Pa. ER - TY - BOOK A1 - Faßbender, Heinz A1 - Vogler, Heiko T1 - A call-by-need implementation of syntax directed functional programming Y1 - 1990 N1 - (Aachener Informatik-Berichte ; 90,22) PB - RWTH, Fachgruppe Informatik CY - Aachen ER -