@inproceedings{1904,
  abstract     = {{As the number of variations increases and batch sizes grow smaller, it can be difficult to fulfill quality and productivity requirements in manual assembly, as employees must record, process and interpret more information, then convert that information into action. Conventional instruction manuals in the form of text, tables or drawings quickly reach their limits. Innovative assistance systems are essential for keeping up with these changes, as they instruct and support employees in line with their specific situations. The goal of this article is to use a case study to illustrate the problems with providing information in manual assembly, and to suggest a potential solution in the form of an informational assistance system. The company considered in the case study stands out for its large production areas where complex, customer-specific truck bodies are mounted manually.}},
  author       = {{Nikolenko, Alexander and Sehr, Philip and Hinrichsen, Sven and Bendzioch, Sven}},
  booktitle    = {{Advances in Human Factors and Systems Interaction AHFE 2019}},
  editor       = {{Nunes, Isabel L.}},
  isbn         = {{978-3-030-20039-8}},
  issn         = {{2194-5357}},
  keywords     = {{Manual assembly, Assembly assistance systems, Industry 4.0, Information delivery}},
  location     = {{Washington D.C., USA}},
  pages        = {{24--33}},
  publisher    = {{Springer}},
  title        = {{{Digital Assembly Assistance Systems – A Case Study}}},
  doi          = {{https://doi.org/10.1007/978-3-030-20040-4_3}},
  volume       = {{959}},
  year         = {{2020}},
}

@inbook{6884,
  abstract     = {{Product variety and short product life cycles are characteristic features of modern assembly systems. When variety gets very high, assembly processes usually become very complex, leading to time losses, human errors, and other negative impacts of system performance. In order to prevent such performance declines different informational assistance systems become part of manual assembly systems, offering additional instructions concerning handling and insertion. Otherwise, such systems can result in additional cognitive load rather than decreasing it. Using mobile physiological measures like heart rate variability (HRV) and eye movements just in time changes of overall cognitive load are detectable. As expected, these data indicate increases of mental workload when task demands are becoming more complex. Practical and theoretical concerns, limitations and chances will be discussed.}},
  author       = {{Bläsing, Dominic and Hinrichsen, Sven and Bornewasser, Manfred}},
  booktitle    = {{Advances in Intelligent Systems and Computing}},
  editor       = {{Ahram , T. and Taiar, R. and Gremeaux-Bader , V. and Aminian, K.}},
  isbn         = {{9783030442668}},
  issn         = {{2194-5357}},
  keywords     = {{Assembly assistance systems, Manual assembly, Cognitive load, Physiological measurement, Heart rate variability}},
  pages        = {{495 -- 500}},
  publisher    = {{Springer}},
  title        = {{{Reduction of Cognitive Load in Complex Assembly Systems}}},
  doi          = {{10.1007/978-3-030-44267-5_75}},
  year         = {{2020}},
}

@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}},
}