@misc{13351, abstract = {{Sheltered workshops face the challenge of meeting their manufacturing objectives while considering the individual competencies and assistance needs of persons with disabilities. Moreover, work processes in sheltered workshops are weakly structured, allowing for frequent task interruptions and changes based on the preferences of impaired work persons. While the Industry 4.0 literature provides many real-time scheduling algorithms for incorporating multiple objectives and constraints, these algorithms fall short of the characteristics of sheltered workshops. The resource-constrained project scheduling problem (RCPSP) is an optimization problem for computing manufacturing plans considering multiple objectives and resource constraints. Among many different RCPSP variants proposed in the literature, the multi-skill RCPSP (MSRCPSP) variant considers the individual skills of work persons when generating manufacturing plans. With the ongoing digital transformation of enterprises, new assistance systems enter the market, providing individual support to impaired work persons and compensating for lacking skills and abilities. This paper proposes an MSRCPSP variant that incorporates assistance systems and learning tasks compensating for competence gaps in the skill matrix of impaired work persons. Furthermore, it decomposes tasks into individual work objects, which accounts for frequent task interruptions and task preferences of work persons. The algorithm is described and demonstrated using a manufacturing data set from an actual sheltered workshop. In a small evaluation study, the algorithm is tested by scheduling two impaired work persons in the assembly department of a medium-sized manufacturing company in the primary labor market. The evaluation study proves its real-world applicability and the suitability of scheduling algorithms for participation and inclusive work.}}, author = {{Herrmann, Jan-Phillip and Mordaschew, Viktoria and Tackenberg, Sven}}, booktitle = {{Procedia Computer Science}}, issn = {{1877-0509}}, keywords = {{Scheduling, Sheltered Workshops, Assistance System, Persons with Disabilities}}, pages = {{1329--1338}}, publisher = {{Elsevier BV}}, title = {{{A multi-skill RCPSP variant for persons with disabilities in sheltered workshops}}}, doi = {{10.1016/j.procs.2024.01.131}}, volume = {{232}}, year = {{2024}}, } @misc{11997, abstract = {{In Germany, individuals unable or not yet able to return to the general labor market due to disabilities are employed in sheltered workshops which are called WfbM (“Werkstätten für behinderte Menschen”). These organizations are required to earn the wages for the aforementioned group of people by offering market services. These services include, in particular, assembly activities. However, WfbM face the challenge that customer orders tend to become more complex, especially as a result of an increased number of product variants. This development not only has an impact on the work in WfbM, but also makes it much more difficult to achieve the desired inclusion of people with disabilities in the general labor market. Bearing this in mind, the research question addressed in this article can be stated as such: How far can the use of an informational assistance system compensate for performance deficits of people with disabilities in the context of assembly? The results of the conducted laboratory study show that the implementation of an assistance system can help to reduce existing barriers and challenges resulting from the mismatch between requirements of the general labor market and the performance characteristics of people with cognitive impairments. Practical Relevance: For people with disabilities, the use of assistance systems opens up new opportunities for participation in the general labor market and thus makes an important contribution to implementing the requirements of the “Bundesteilhabegesetz” (a law to strengthen participation of people with disabilities in Germany).}}, author = {{Bendzioch, Sven and Hinrichsen, Sven}}, booktitle = {{Zeitschrift für Arbeitswissenschaft (ZfA)}}, issn = {{2366-4681}}, keywords = {{Informational Assistance System, People with Disabilities, Manual Assembly, Image Processing System, Laboratory Study}}, number = {{2}}, pages = {{240--253}}, publisher = {{Springer-Verlag GmbH }}, title = {{{Potentials of an informational assembly assistance system for persons with cognitive disabilities — Results of a laboratory study}}}, doi = {{10.1007/s41449-024-00414-9}}, volume = {{78}}, year = {{2024}}, } @misc{12797, abstract = {{Sheltered workshops face the challenge of meeting their manufacturing objectives while considering the individual competenciesand assistance needs of persons with disabilities. Moreover, work processes in sheltered workshops are weakly structured, allowing for frequent task interruptions and changes based on the preferences of impaired work persons. While the Industry 4.0 literature provides many real-time scheduling algorithms for incorporating multiple objectives and constraints, these algorithms fall short of the characteristics of sheltered workshops. The resource-constrained project scheduling problem (RCPSP) is an optimization problem for computing manufacturing plans considering multiple objectives and resource constraints. Among many different RCPSP variants proposed in the literature, the multi-skill RCPSP (MSRCPSP) variant considers the individual skills of work persons when generating manufacturing plans. With the ongoing digital transformation of enterprises, new assistance systems enter the market, providing individual support to impaired work persons and compensating for lacking skills and abilities. This paper proposes an MSRCPSP variant that incorporates assistance systems and learning tasks compensating for competence gaps in the skill matrix of impaired work persons. Furthermore, it decomposes tasks into individual work objects, which accounts for frequent task interruptions and task preferences of work persons. The algorithm is described and demonstrated using a manufacturing data set from an actual sheltered workshop. In a small evaluation study, the algorithm is tested by scheduling two impaired work persons in the assembly department of a medium-sized manufacturing company in the primary labor market. The evaluation study proves its real-world applicability and the suitability of scheduling algorithms for participation and inclusive work. }}, author = {{Herrmann, Jan-Phillip and Mordaschew, Viktoria and Tackenberg, Sven}}, booktitle = {{5th International Conference on Industry 4.0 and Smart Manufacturing (ISM)}}, editor = {{Longo, F. and Shen, W. and Padovano, A.}}, issn = {{1877-0509}}, keywords = {{Scheduling, Sheltered Workshops, Assistance System, Persons with Disabilities}}, location = {{Lisbon, PORTUGAL}}, pages = {{1329--1338}}, publisher = {{Elsevier BV}}, title = {{{A multi-skill RCPSP variant for persons with disabilities in sheltered workshops}}}, doi = {{10.1016/j.procs.2024.01.131}}, volume = {{232}}, year = {{2024}}, } @misc{10783, abstract = {{The development trend in manual assembly towards increasing demands in terms of quality, variety, and cost pressure makes the transition for people with cognitive disabilities to the general labor market extremely difficult. Nevertheless, this employment sector is a central component of many activities in a sheltered workshop. Therefore, this paper investigates the use of an informational assistance system for persons with cognitive impairments to close the gap between the characteristics of this group and the operational requirements. In this way, the transition from the sheltered workshop to the general labor market will be facilitated and promoted.}}, author = {{Bendzioch, Sven and Hinrichsen, Sven}}, booktitle = {{Human Interaction & Emerging Technologies (IHIET 2023): Artificial Intelligence & Future Applications}}, issn = {{2771-0718}}, keywords = {{Manual Assembly, Informational Assistance System, Image Processing System, People with Disabilities}}, location = {{NIzza}}, pages = {{548--556}}, publisher = {{AHFE International}}, title = {{{Informational Assistance System – a Key to Self-Empowerment of Persons with Cognitive Disabilities in Manual Assembly?}}}, doi = {{10.54941/ahfe1004061}}, volume = {{11}}, year = {{2023}}, } @misc{10962, abstract = {{The increasing number of product artifacts (e.g., mechanical or electronic components, software functions, documents) confronts small and medium-sized companies with the challenge of assessing change effects. The lack of knowledge of artifact relationships causes problems, such as outdated documentation, lack of coordination with affected disciplines, or delayed changes. The Design Structure Matrix (DSM) can clearly represent the elements and relationships of complex systems. This paper presents an assistance system for intuitive visualization of engineering change effects using existing DSM-based methods for complexity management. The implemented algorithms compute graph layouts, cluster analyses, and change predictions in the form of change risk, time, and cost. An application example of a 3D-printed intelligent lamp demonstrates the approach's viability. The paper concludes with a discussion of the benefits and future activities.}}, author = {{Herrmann, Jan-Phillip and Tackenberg, Sven and Trojanowski, Christoph and Pankrath, Carolin and Imort, Sebastian and Deuter, Andreas}}, booktitle = {{DS 126: Proceedings of the 25th International DSM Conference (DSM 2023)}}, editor = {{Stowe, Harold and Browning, Tyson R. and Eppinger, Steven D. and Trauer, Jakob and Langner, Christopher and Kreimeyer, Matthias and Isaksson, Ola and Panarotto, Massimo and Brahma, Arindam}}, keywords = {{Graph-based Visualization, Assistance System, Engineering Change Management, Complexity Management}}, location = {{Gothenburg, Sweden}}, pages = {{58--67}}, publisher = {{The Design Society}}, title = {{{Assistance System for graph-based 3D Visualization of Design Structure Matrices}}}, doi = {{10.35199/dsm2023.07}}, year = {{2023}}, } @misc{11445, abstract = {{Predicting human decisions is a central challenge for planning and controlling production with weakly structured processes. Thus, workers’ decisions regarding the processing strategies and the temporal sequence of tasks to be processed are to be determined prospectively. Accordingly, there is a need to review methods for preference elicitation to develop individual predictive decision models. This paper presents a systematic literature review and discussion of 42 publications on predictive decision models and decision attributes. Methods for eliciting decision-making knowledge from manufacturing workers as part of the modeling process and decision model validation methods are reviewed and discussed in light of their predictive validity for individual task selection. The article synthesizes the recent literature for predicting human decision-making in manufacturing using artificial intelligence methods. Along with the review results, a future research agenda is proposed for modeling and simulating human decision-making in manufacturing. Knowledge about human preferences and the successful prediction of workers’ decision-making in manufacturing helps companies predict manufacturing objectives and derive organizational and work design measures.}}, author = {{Herrmann, Jan-Phillip and Tackenberg, Sven and Nitsch, Verena}}, booktitle = {{IEEE Access}}, issn = {{2169-3536}}, keywords = {{Artificial intelligence, assistance system, human decision-making, manufacturing}}, pages = {{141172--141191}}, publisher = {{IEEE}}, title = {{{Predicting Human Decision-Making for Task Selection in Manufacturing: A Systematic Literature Review}}}, doi = {{10.1109/access.2023.3340626}}, volume = {{11}}, year = {{2023}}, } @misc{7739, abstract = {{Employees in mixed-model assembly perform much informational work by constantly making decisions about the part to be assembled, the tool to be used or the working method to be applied. The proportion of informational work in manual assembly is likely to increase, since more and more products are configured according to customer demands and additional functions are integrated. Whereas assembly has so far been understood primarily as energetic work, the informational aspects of assembly work will have to be considered to a greater extent in the future. Assembly system design is thus more and more a domain of cognitive ergonomics, whereas in the past the focus was on biomechanical aspects. Taking this into consideration, the design of assembly instructions in line with individual requirements is becoming increasingly important. This article therefore discusses important design principles of such instructions.}}, author = {{Hinrichsen, Sven and Bläsing, Dominic}}, booktitle = {{Human Interaction & Emerging Technologies (IHIET-AI 2022): Artificial Intelligence & Future Applications }}, editor = {{Ahram, Tareq and Taiar, Redha }}, keywords = {{Assembly Instruction, Compatibility, Assistance System Manual Assembly, Information Management}}, location = {{Lausanne}}, publisher = {{AHFE Open Access}}, title = {{{How to Design Assembly Instructions}}}, doi = {{10.54941/ahfe100838}}, volume = {{23}}, year = {{2022}}, } @inproceedings{9666, abstract = {{In mechanical engineering, individual functional units of a machine are often assembled by one operator at single workstations or at one-piece flow lines. Based on the order information, the required parts are taken from flow racks and assembled step by step to build a functional unit. The existing assembly concepts have two decisive disadvantages in operational practice. First, a large number of components to be provided leads to long walking distances at the work station or line. Second, as the complexity of the assembly task increases, the informational portion of the work increases, so that paper-based information provision can lead to unnecessary assembly errors and additional times. For these reasons, a compacted assembly system has been developed in which, firstly, material is supplied via driven carousels and, secondly, the necessary information is provided to the operator via a cognitive assistance system. The article shows that this concept can reduce walking distances while avoiding assembly errors and additional times.}}, author = {{Hinrichsen, Sven and Nikolenko, Alexander and Beckmann, Nils and Meyer, Frederic}}, booktitle = {{IEEM2022 : IEEE International Conference on Industrial Engineering and Engineering Management (IEEM) : Kuala Lumpur, Malaysia, 07-10 December 2022 }}, isbn = {{978-1-6654-8688-0}}, keywords = {{assembly system, assistance system, complexity}}, location = {{Kuala Lumpur}}, publisher = {{IEEE}}, title = {{{Development of a New Type of Carousel-based Compacted Work System for Mixed-model Assembly in Mechanical Engineering}}}, doi = {{10.1109/ieem55944.2022.9989731}}, year = {{2022}}, } @article{7035, abstract = {{Technological progress, upcoming cyber-physical systems, and limited resources confront small and medium-sized enterprises (SMEs) with the challenge of complexity management in product development projects spanning over the entire product lifecycle. SMEs require a solution for documenting and analyzing the functional relationships between multiple domains such as products, software, and processes. The German research project FuPEP “Funktionsorientiertes Komplexitätsmanagement in allen Phasen der Produktentstehung” aims to address this issue by developing an assistance system that supports product developers by visualizing functional relationships. This paper presents the methodology and results of the assistance system’s requirements elicitation with two SMEs. Conducting the elicitation during a global pandemic, we discuss its application using specific techniques in light of COVID-19. We model problems and their effects regarding complexity management in product development in a system dynamics model. The most important requirements and use cases elicited are presented, and the requirements elicitation methodology and results are discussed. Additionally, we present a multilayer software architecture design of the assistance system. Our case study suggests a relationship between fear of a missing project focus among project participants and the restriction of requirements elicitation techniques to those possible via web conferencing tools.}}, author = {{Herrmann, Jan-Phillip and Imort, Sebastian and Trojanowski, Christoph and Deuter, Andreas}}, issn = {{2073-431X}}, journal = {{Computers}}, keywords = {{complexity management, assistance system, product development, systems engineering, design structure matrix, asset administration shell}}, number = {{11}}, title = {{{Requirements Elicitation for an Assistance System for Complexity Management in Product Development of SMEs during COVID-19: A Case Study}}}, doi = {{10.3390/computers10110149}}, volume = {{10}}, year = {{2021}}, } @inproceedings{1900, abstract = {{More and more complex products are being fitted in small batches in manual assembly. Because of this, more information needs to be collected from employees and implemented in appropriate actions. At the same time, the informational design of assembly systems often shows deficits in operational practice. Manual assembly processes can be made more economical, reliable, and human-oriented with the help of informational assistance systems. Testing was carried out in the Laboratory for Industrial Engineering at the Ostwestfalen-Lippe University of Applied Sciences and Arts to verify this potential. Initial results on the use of augmented reality (AR) glasses in comparison to providing information in a paper-based format are presented.}}, author = {{Bendzioch, Sven and Bläsing, Dominic and Hinrichsen, Sven}}, booktitle = {{Human Systems Engineering and Design II Proceedings of the 2nd International Conference on Human Systems Engineering and Design (IHSED2019)}}, editor = {{Ahram, T. and Karwowski, W. and Pickl, S. and Taiar, R.}}, isbn = {{978-3-030-27927-1}}, keywords = {{Worker assistance system, Manual assembly, Human-machine interaction, Informational complexity}}, location = {{Universität der Bundeswehr, München}}, pages = {{20--25}}, publisher = {{Springer Nature}}, title = {{{Comparison of Different Assembly Assistance Systems Under Ergonomic and Economic Aspects}}}, doi = {{https://doi.org/10.1007/978-3-030-27928-8_4}}, volume = {{1026}}, year = {{2019}}, } @inproceedings{4323, abstract = {{The latest generation of head-mounted displays such as HoloLens pro- vide mixed reality capabilities that claim to better integrate the real and virtual worlds. In this paper, we would like the share our experiences in implementing a user interface for an assembly assistance system using the HoloLens. We carried out a preliminary evaluation of the applicability of mixed reality using the per- spective of developers and expert users in an assembly scenario that allows us to operate and compare two interfaces - a state-of-the-art projector display system and the HoloLens. We believe our findings may contribute towards a better un- derstanding of the effects of new display technologies such as the HoloLens in developing and using assistance systems in other fields as well. Areas that may be of future research are also highlighted.}}, author = {{Dhiman, Hitesh and Martinez, Sascha and Paelke, Volker and Röcker, Carsten}}, booktitle = {{HCI in Business, Government, and Organizations}}, editor = {{Fui-Hoon Nah, Fiona and Sophia Xiao, Bo}}, isbn = {{978-3-319-91715-3}}, keywords = {{Human machine interaction, Assembly assistance system, Qualitative study, HoloLens}}, location = {{Las Vegas, NV, USA}}, pages = {{67--78}}, publisher = {{Springer}}, title = {{{Head-Mounted Displays in Industrial AR-Applications: Ready for Prime Time?}}}, doi = {{10.1007/978-3-319-91716-0_6}}, volume = {{10923}}, 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{2128, abstract = {{We present the concept of a perceptive motor in terms of a cyber-physical system (CPS). A model application monitoring a knitting process was developed, where the take-off of the produced fabric is controlled by an electric motor. The idea is to equip a synchronous motor with a smart camera and appropriate image processing hard- and software components. Subsequently, the characteristics of knitted fabric are analysed by machine-learning (ML) methods. Our concept includes motor-current analysis and image processing. The aim is to implement an assistance system for the industrial large circular knitting process. An assistance system will help to shorten the retrofitting process. The concept is based on a low cost hardware approach for a smart camera, and stems from the recent development of image processing applications for mobile devices [1–4].}}, author = {{Vukovic, Kristijan and Simonis, Kristina and Dörksen, Helene and Lohweg, Volker}}, booktitle = {{Conference on Machine Learning for Cyber-Physical Systems (ML4CPS)}}, keywords = {{Assistance System, Euler Number, Synchronous Motor, Image Processing System, Image Processing Method}}, title = {{{Efficient Image Processing System for an Industrial Machine Learning Task}}}, doi = {{10.1007/978-3-662-48838-6_8}}, year = {{2015}}, }