@inproceedings{GrumBenderGronauetal.2020,
  author    = {Grum, Marcus and Bender, Benedict and Gronau, Norbert and Alfa, Attahiru S.},
  title     = {Efficient task realizations in networked production infrastructures},
  series = {Proceedings of the Conference on Production Systems and Logistics},
  booktitle = {Proceedings of the Conference on Production Systems and Logistics},
  publisher = {publish-Ing.},
  address   = {Hannover},
  doi       = {10.15488/9682},
  pages     = {397 -- 407},
  year      = {2020},
  abstract  = {As Industry 4.0 infrastructures are seen as highly evolutionary environment with volatile, and time-dependent workloads for analytical tasks, particularly the optimal dimensioning of IT hardware is a challenge for decision makers because the digital processing of these tasks can be decoupled from their physical place of origin. Flexible architecture models to allocate tasks efficiently with regard to multi-facet aspects and a predefined set of local systems and external cloud services have been proven in small example scenarios. This paper provides a benchmark of existing task realization strategies, composed of (1) task distribution and (2) task prioritization in a real-world scenario simulation. It identifies heuristics as superior strategies.},
  language  = {en}
}
@misc{GrumGronau2018,
  author    = {Grum, Marcus and Gronau, Norbert},
  title     = {Process modeling within augmented reality},
  series = {Business Modeling and Software Design, BMSD 2018},
  volume    = {319},
  journal   = {Business Modeling and Software Design, BMSD 2018},
  publisher = {Springer},
  address   = {Berlin},
  isbn      = {978-3-319-94214-8},
  issn      = {1865-1348},
  doi       = {10.1007/978-3-319-94214-8_7},
  pages     = {99 -- 115},
  year      = {2018},
  abstract  = {The collaboration during the modeling process is uncomfortable and characterized by various limitations. Faced with the successful transfer of first process modeling languages to the augmented world, non-transparent processes can be visualized in a more comprehensive way. With the aim to rise comfortability, speed, accuracy and manifoldness of real world process augmentations, a framework for the bidirectional interplay of the common process modeling world and the augmented world has been designed as morphologic box. Its demonstration proves the working of drawn AR integrations. Identified dimensions were derived from (1) a designed knowledge construction axiom, (2) a designed meta-model, (3) designed use cases and (4) designed directional interplay modes. Through a workshop-based survey, the so far best AR modeling configuration is identified, which can serve for benchmarks and implementations.},
  language  = {en}
}
@phdthesis{Grum2021,
  author    = {Grum, Marcus},
  title     = {Construction of a concept of neuronal modeling},
  year      = {2021},
  abstract  = {The business problem of having inefficient processes, imprecise process analyses, and simulations as well as non-transparent artificial neuronal network models can be overcome by an easy-to-use modeling concept. With the aim of developing a flexible and efficient approach to modeling, simulating, and optimizing processes, this paper proposes a flexible Concept of Neuronal Modeling (CoNM). The modeling concept, which is described by the modeling language designed and its mathematical formulation and is connected to a technical substantiation, is based on a collection of novel sub-artifacts. As these have been implemented as a computational model, the set of CoNM tools carries out novel kinds of Neuronal Process Modeling (NPM), Neuronal Process Simulations (NPS), and Neuronal Process Optimizations (NPO). The efficacy of the designed artifacts was demonstrated rigorously by means of six experiments and a simulator of real industrial production processes.},
  language  = {en}
}
@misc{BenderGrumGronauetal.2019,
  author    = {Bender, Benedict and Grum, Marcus and Gronau, Norbert and Alfa, Attahiru and Maharaj, B. T.},
  title     = {Design of a worldwide simulation system for distributed cyber-physical production networks},
  series = {2019 IEEE International Conference on Engineering, Technology and Innovation (ICE/ITMC)},
  journal   = {2019 IEEE International Conference on Engineering, Technology and Innovation (ICE/ITMC)},
  publisher = {IEEE},
  address   = {New York},
  isbn      = {978-1-7281-3401-7},
  issn      = {2334-315X},
  doi       = {10.1109/ICE.2019.8792609},
  pages     = {7},
  year      = {2019},
  abstract  = {Modern production infrastructures of globally operating companies usually consist of multiple distributed production sites. While the organization of individual sites consisting of Industry 4.0 components itself is demanding, new questions regarding the organization and allocation of resources emerge considering the total production network. In an attempt to face the challenge of efficient distribution and processing both within and across sites, we aim to provide a hybrid simulation approach as a first step towards optimization. Using hybrid simulation allows us to include real and simulated concepts and thereby benchmark different approaches with reasonable effort. A simulation concept is conceptualized and demonstrated qualitatively using a global multi-site example.},
  language  = {en}
}