@inbook{12740,
  abstract     = {{The high-tech architecture of the 1970s–1990s is typically characterized by the use and exhibition of advanced technologies. In terms of appearance, these buildings often have innovative façades, supporting structures accentuated in color, and expressively displayed technology systems. Unfortunately, however, the rapid obsolescence of technology has often led to the complete replacement of the very systems that defined the architectural form. In 2023, an international conference at ETH Zurich in collaboration with Bauhaus-Universität Weimar explored the question of how best to deal with the structural legacy of technologically innovative architecture. This book summarizes the results and provides an overview of the current state of research.

Current state of research on high-tech architecture and its conservation
Overview of the opportunities and challenges of high-tech buildings
New findings on the topic of building within existing structures
Also available as a set with the congress volume Denkmal Postmoderne 978-3-0356-2783-1}},
  author       = {{Pottgiesser, Uta}},
  booktitle    = {{High-Tech Heritage : (Im)permanence of Innovative Architecture}},
  editor       = {{Brenner , Matthias  and Langenberg,  Silke  and Angermann ,  Kirsten  and Meier, Hans-Rudolf }},
  isbn         = {{978-3-0356-2784-8}},
  keywords     = {{preservation, maintenance, conversion, building culture, postmodern architecture, high-tech architecture, postmodernism, cultural heritage, architectural monument, historical monument, monument preservation}},
  location     = {{Zürich}},
  pages        = {{109--116}},
  publisher    = {{Birkhäuser}},
  title        = {{{Retracted: Structural Sealant Glazing (SSG): History, Construction, and Conservation Challenges}}},
  doi          = {{https://doi.org/10.1515/9783035627862-016}},
  year         = {{2024}},
}

@inbook{4311,
  abstract     = {{Recent trends towards digitization in the industrial domain are also driving profound socio-technical changes. On the one hand, these technologies enable shorter product lifecycles and servitization, but on the other hand, the increasing technical complexity of the equipment makes its operation and maintenance a challenge for workers. Assistance systems using pervasive technologies can bridge the gap between the abilities of the workers and the demands of handling technical complexity by enriching workplace activities with relevant, context-dependent information. In this paper, we present an application that replaces a conventional, paper-based maintenance manual with digital, Augmented Reality based instructions that are delivered at the appropriate place and time.}},
  author       = {{Dhiman, Hitesh and Röcker, Carsten}},
  booktitle    = {{2019 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops)}},
  isbn         = {{978-1-5386-9151-9}},
  keywords     = {{Industry 4.0, Cyber Physical Systems, Augmented Reality, Complexity, Maintenance, HoloLens}},
  location     = {{Kyoto, Japan}},
  pages        = {{95 -- 100}},
  publisher    = {{IEEE}},
  title        = {{{Worker Assistance in Smart Production Environments using Pervasive Technologies}}},
  doi          = {{10.1109/PERCOMW.2019.8730771}},
  year         = {{2019}},
}

@inproceedings{4761,
  abstract     = {{Maintenance is an important set of various activities related to preserving from failure or decline. Improper or lack of maintenance may result in excessive component wear, production quality deterioration, or even longer downtime. However, today's production facilities strive to devote the least amount of necessary maintenance time in order to maximize production time. Therefore, new solutions for deliberate and efficient maintenance are needed. The solution proposed in this paper benefits from the newest trends and innovations in industry, namely the Asset Administration Shell (AAS) which is part of the Industrie 4.0 (I4.0) concept. The AAS shall contain the maintenance submodel which shall be used for supporting humans during the maintenance process. The submodel provides a standardized description of required tools and parts as well as step-by-step instructions which also include safety concerns and multimedia files, such as pictures and videos. In this way, maintenance can be carried out more reliably, resulting in reduced downtime. In addition, feedback from the maintenance process shall be stored in the submodel and fed through an I4.0-compliant network to other processes from different phases of the life cycle in order to improve them.}},
  author       = {{Lang, Dorota and Grunau, Sergej and Wisniewski, Lukasz and Jasperneite, Jürgen}},
  booktitle    = {{17th International Conference on Industrial Informatics (IEEE-INDIN 2019)}},
  isbn         = {{978-1-7281-2928-0 }},
  issn         = {{1935-4576}},
  keywords     = {{maintenance, Asset Administration Shell}},
  location     = {{Helsinki-Espoo, Finland}},
  pages        = {{768--773}},
  publisher    = {{IEEE}},
  title        = {{{Utilization of the Asset Administration Shell to Support Humans During the Maintenance Process}}},
  doi          = {{10.1109/indin41052.2019.8972236}},
  year         = {{2019}},
}

@inproceedings{4327,
  abstract     = {{In ever changing world, the industrial systems become more and more complex. Machine feedback in the form of alarms and notifications, due to its growing volume, becomes overwhelming for the operator. In addition, expectations in relation to system availability are growing as well. Therefore, there exists strong need for new solutions guaranteeing fast troubleshooting of problems that arise during system operation. The approach proposed in this study uses advantages of the Asset Administration Shell, machine learning, and human-machine interaction in order to create the assistance system which holistically addresses the issue of troubleshooting complex industrial systems.}},
  author       = {{Lang, Dorota and Wunderlich, Paul and Heinz, Mario and Wisniewski, Lukasz and Jasperneite, Jürgen and Niggemann, Oliver and Röcker, Carsten}},
  booktitle    = {{14th IEEE International Workshop on Factory Communication Systems (WFCS)}},
  keywords     = {{Maintenance engineering, Adaptation models, Machine learning, Data models, Standards, Software, Bayes methods}},
  location     = {{Imperia, Italy }},
  publisher    = {{IEEE}},
  title        = {{{Assistance System to Support Troubleshooting of Complex Industrial Systems}}},
  doi          = {{10.1109/WFCS.2018.8402380}},
  year         = {{2018}},
}

@inproceedings{561,
  abstract     = {{A paradigm shift in the field of maintenance is essential for companies due to a progressive digitalization of production processes. Therefore, the new paradigm considersall phases of a system, from procurement, operation through to the recycling of the machine. Initially, at the start of the cycle manufacturers of machines and equipment have to focus on design, implementation and quality assurance in compliance with the requirements for operation and maintenance to minimize lifecycle cost. During operation,an efficient strategy for maintaining must be defined. Based on the introduced paradigm a maintenance check is presented, able to provide orientation to small and middle-sizedenterprises regarding their maintenance situation and level. The respective level is described on basis of the degree of maturity. Regarding further steps, it is the fundament for strategic decisions and activities.}},
  author       = {{Glatzel, Thomas and Tackenberg, Sven}},
  booktitle    = {{Production Engineering and Management}},
  editor       = {{Villmer, Franz-Josef and Padoano, Elio}},
  isbn         = {{978-3-946856-03-0}},
  keywords     = {{Maintenance 4.0, Smart production, Maintenance check, Maintenance maturity}},
  location     = {{Lemgo}},
  number       = {{1}},
  pages        = {{245--255}},
  title        = {{{Smart Production - A Paradigm-Shift in the Field of Maintenance}}},
  year         = {{2018}},
}

@inproceedings{265,
  abstract     = {{The maintenance of a tool for injection molding or forming is usually accompanied by its disassembly and assembly. The duration of the assembly activities is often a large part of the total activity time for the maintenance of the tool. The degree of performance of the employees in the execution of these disassembly and assembly activities is often low. In addition, allowances occur (e.g. searching for work equipment). At the Industrial Engineering Lab of the Ostwestfalen-Lippe University of Applied Sciences, a prototype of an assistance system was developed to support the assembly activities in toolmaking. With the help of this system, the operator is guided step by step through the assembly process. The economic potential of the system exists in the reduction of training times, the avoidance of assembly errors and the increase of labor productivity.}},
  author       = {{Hinrichsen, Sven and Riediger, Daniel and Unrau, Alexander}},
  booktitle    = {{2017 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)}},
  isbn         = {{978-1-5386-0948-4 }},
  keywords     = {{injection moulding, machine tools, maintenance engineering, productivity, projection-based assistance system, injection molding tools, assembly activities, assembly process, assembly errors, tool maintenance, disassembly activities, economic potential, Industrial Engineering Lab, Ostwestfalen-Lippe University of Applied Sciences, toolmaking, Tools, Injection molding, Maintenance engineering, Usability, Task analysis, Workstations, Morphology, assembly assistance systems, assistance systems, maintenance of injection molding tools, manual assembly}},
  location     = {{Singapore}},
  number       = {{1}},
  pages        = {{1571--1575}},
  title        = {{{Development of a Projection-Based Assistance System for Maintaining Injection Molding Tools}}},
  doi          = {{https://doi.org/10.1109/IEEM.2017.8290157}},
  year         = {{2017}},
}

@inproceedings{4329,
  abstract     = {{The term Industrie 4.0 carries the vision of smart factories, which automatically adapt to changes and assist the human as much as possible during operation and maintenance. This includes smart human machine interfaces, which reduce the chances of errors and help to make the right decisions. This paper presents an approach to equip the maintenance software running on a tablet PC with augmented reality functionality to be able to place virtual sticky notes at production modules. Additionally, these sticky notes are enriched with position information. The central element of this approach is an ontology-based context-aware framework, which aggregates and processes data from different sources. As a result, a tablet PC application was implemented, which allows displaying maintenance information as well as live plant process data in the form of augmented reality. More than 100 of those sticky notes can be placed using this system, whereas each note requires a file size of 12 to 16 kilo bytes. After placing a sticky note, the system recognizes it even if the camera's position is not exactly the same as during the placing process.}},
  author       = {{Flatt, Holger and Koch, Nils and Guenter, Andrei and Röcker, Carsten and Jasperneite, Jürgen}},
  booktitle    = {{ 2015 IEEE 20th Conference on Emerging Technologies & Factory Automation (ETFA)}},
  keywords     = {{Maintenance engineering, Augmented reality, Context, Context modelin, Production facilities, Cameras}},
  location     = {{Luxembourg, Luxembourg}},
  publisher    = {{IEEE}},
  title        = {{{A Context-Aware Assistance System for Maintenance Applications in Smart Factories based on Augmented Reality and Indoor Localization}}},
  doi          = {{10.1109/ETFA.2015.7301586}},
  year         = {{2015}},
}

