---
_id: '67286'
abstract:
- lang: eng
  text: 'The effects of decisions in strategic product planning are usually far-reaching,
    but at the same time difficult to assess. Simulations help to make these effects
    more tangible. Until now, the use of simulation in strategic product planning
    has been limited to behavioral and innovation diffusion studies. This paper presents
    a process model for widening business models or planning upcoming product generations.
    It supports integrating the simulation of technical systems into decisionmaking
    processes to select the most suitable product for adaptation to new application
    scenarios. To this end, the characteristics of such new application scenarios
    are applied to existing product models in simulation, and the system behavior
    is evaluated based on key figures. This supports the comparison of different products
    and the selection of the product alternative requiring the least amount of modification.
    The process model enables decision-makers to systematically integrate simulation
    into the decision-making process and thus make more data-based decisions. '
author:
- first_name: Iris
  full_name: Gräßler, Iris
  id: '47565'
  last_name: Gräßler
  orcid: 0000-0001-5765-971X
- first_name: Deniz
  full_name: Özcan, Deniz
  id: '58595'
  last_name: Özcan
- first_name: Niklas
  full_name: Döhner, Niklas
  id: '108017'
  last_name: Döhner
  orcid: https://orcid.org/0009-0005-7676-4036
citation:
  ama: 'Gräßler I, Özcan D, Döhner N. Leveraging System Simulation for Decision  Support
    in Strategic Product Planning. In: Gonzalez JDN, Romay MG, EUROSIS-ETI, eds. <i>24th
    INTERNATIONAL INDUSTRIAL SIMULATION CONFERENCE </i>. Vol 24. ; 2026:65-72.'
  apa: Gräßler, I., Özcan, D., &#38; Döhner, N. (2026). Leveraging System Simulation
    for Decision  Support in Strategic Product Planning. In J. D. N. Gonzalez, M.
    G. Romay, &#38; EUROSIS-ETI (Eds.), <i>24th INTERNATIONAL INDUSTRIAL SIMULATION
    CONFERENCE </i> (Vol. 24, pp. 65–72).
  bibtex: '@inproceedings{Gräßler_Özcan_Döhner_2026, title={Leveraging System Simulation
    for Decision  Support in Strategic Product Planning}, volume={24}, booktitle={24th
    INTERNATIONAL INDUSTRIAL SIMULATION CONFERENCE }, author={Gräßler, Iris and Özcan,
    Deniz and Döhner, Niklas}, editor={Gonzalez, Jose David Nunez and Romay, Manuel
    Grana and EUROSIS-ETI}, year={2026}, pages={65–72} }'
  chicago: Gräßler, Iris, Deniz Özcan, and Niklas Döhner. “Leveraging System Simulation
    for Decision  Support in Strategic Product Planning.” In <i>24th INTERNATIONAL
    INDUSTRIAL SIMULATION CONFERENCE </i>, edited by Jose David Nunez Gonzalez, Manuel
    Grana Romay, and EUROSIS-ETI, 24:65–72, 2026.
  ieee: I. Gräßler, D. Özcan, and N. Döhner, “Leveraging System Simulation for Decision 
    Support in Strategic Product Planning,” in <i>24th INTERNATIONAL INDUSTRIAL SIMULATION
    CONFERENCE </i>, San Sebastian, Spain, 2026, vol. 24, pp. 65–72.
  mla: Gräßler, Iris, et al. “Leveraging System Simulation for Decision  Support in
    Strategic Product Planning.” <i>24th INTERNATIONAL INDUSTRIAL SIMULATION CONFERENCE
    </i>, edited by Jose David Nunez Gonzalez et al., vol. 24, 2026, pp. 65–72.
  short: 'I. Gräßler, D. Özcan, N. Döhner, in: J.D.N. Gonzalez, M.G. Romay, EUROSIS-ETI
    (Eds.), 24th INTERNATIONAL INDUSTRIAL SIMULATION CONFERENCE , 2026, pp. 65–72.'
conference:
  end_date: 2026-05-29
  location: San Sebastian, Spain
  name: '24th Industrial Simulation Conference 2026 '
  start_date: 2026-05-27
corporate_editor:
- EUROSIS-ETI
date_created: 2026-09-30T11:48:43Z
date_updated: 2026-10-01T12:25:43Z
department:
- _id: '43'
- _id: '9'
- _id: '26'
- _id: '152'
editor:
- first_name: Jose David Nunez
  full_name: Gonzalez, Jose David Nunez
  last_name: Gonzalez
- first_name: Manuel Grana
  full_name: Romay, Manuel Grana
  last_name: Romay
intvolume: '        24'
keyword:
- Decision-making
- Decision support systems
- Mechanical engineering
- System analysis
- System engineering
language:
- iso: eng
main_file_link:
- open_access: '1'
oa: '1'
page: 65-72
publication: '24th INTERNATIONAL INDUSTRIAL SIMULATION CONFERENCE '
publication_identifier:
  isbn:
  - 978-9-492859-40-2
quality_controlled: '1'
status: public
title: Leveraging System Simulation for Decision  Support in Strategic Product Planning
type: conference
user_id: '58595'
volume: 24
year: '2026'
...
---
_id: '67595'
abstract:
- lang: eng
  text: "In the aftermath of natural disasters, the timely coordination of spon-\r\ntaneous
    volunteers is crucial for minimising harm and preventing casualties. How-\r\never,
    research into decision support methodologies and systems for coordinating\r\nvolunteers
    is scarce. Building on previous work in this area, we propose combin-\r\ning heuristic
    and exact procedures. Based on real-world data from a flood scenario\r\nin Halle
    (Saale, Germany) in 2018, we propose and computationally evaluate\r\ndifferent
    combinations. Our results show that using a combination of a heuristic\r\nand
    a MILP solver allows for the efficient computation of effective solutions for\r\nup
    to 500 volunteers. Our results also show that the most suitable mode depends\r\non
    the size of the problem in terms of the number of volunteers."
article_type: original
author:
- first_name: Manuel
  full_name: Goecke, Manuel
  last_name: Goecke
- first_name: Judith
  full_name: Gnade, Judith
  last_name: Gnade
- first_name: Guido
  full_name: Schryen, Guido
  id: '72850'
  last_name: Schryen
citation:
  ama: 'Goecke M, Gnade J, Schryen G. Coordinating Spontaneous Volunteers in the Aftermath
    of Natural Disasters: Development and Computational Evaluation of Heuristic Methods.
    <i>International Journal of Operational Research,</i>.'
  apa: 'Goecke, M., Gnade, J., &#38; Schryen, G. (n.d.). Coordinating Spontaneous
    Volunteers in the Aftermath of Natural Disasters: Development and Computational
    Evaluation of Heuristic Methods. <i>International Journal of Operational Research,</i>.'
  bibtex: '@article{Goecke_Gnade_Schryen, title={Coordinating Spontaneous Volunteers
    in the Aftermath of Natural Disasters: Development and Computational Evaluation
    of Heuristic Methods}, journal={International Journal of Operational Research,},
    author={Goecke, Manuel and Gnade, Judith and Schryen, Guido} }'
  chicago: 'Goecke, Manuel, Judith Gnade, and Guido Schryen. “Coordinating Spontaneous
    Volunteers in the Aftermath of Natural Disasters: Development and Computational
    Evaluation of Heuristic Methods.” <i>International Journal of Operational Research,</i>
    n.d.'
  ieee: 'M. Goecke, J. Gnade, and G. Schryen, “Coordinating Spontaneous Volunteers
    in the Aftermath of Natural Disasters: Development and Computational Evaluation
    of Heuristic Methods,” <i>International Journal of Operational Research,</i>.'
  mla: 'Goecke, Manuel, et al. “Coordinating Spontaneous Volunteers in the Aftermath
    of Natural Disasters: Development and Computational Evaluation of Heuristic Methods.”
    <i>International Journal of Operational Research,</i>.'
  short: M. Goecke, J. Gnade, G. Schryen, International Journal of Operational Research,
    (n.d.).
date_created: 2026-10-19T20:29:49Z
date_updated: 2026-10-19T20:47:30Z
department:
- _id: '277'
keyword:
- Disaster Management
- Volunteer Coordination
- Decision Support Systems
- MILP
language:
- iso: eng
project:
- _id: '822'
  name: KatHelfer-PrO
publication: International Journal of Operational Research,
publication_status: accepted
quality_controlled: '1'
status: public
title: 'Coordinating Spontaneous Volunteers in the Aftermath of Natural Disasters:
  Development and Computational Evaluation of Heuristic Methods'
type: journal_article
user_id: '72850'
year: '2026'
...
---
_id: '56282'
abstract:
- lang: eng
  text: "Algorithmic bias has long been recognized as a key problem affecting decision-making
    processes that integrate artificial intelligence (AI) technologies. The increased
    use of AI in making military decisions relevant to the use of force has sustained
    such questions about biases in these technologies and in how human users programme
    with and rely on data based on hierarchized socio-cultural norms, knowledges,
    and modes of attention.\r\n\r\nIn this post, Dr Ingvild Bode, Professor at the
    Center for War Studies, University of Southern Denmark, and Ishmael Bhila, PhD
    researcher at the “Meaningful Human Control: Between Regulation and Reflexion”
    project, Paderborn University, unpack the problem of algorithmic bias with reference
    to AI-based decision support systems (AI DSS). They examine three categories of
    algorithmic bias – preexisting bias, technical bias, and emergent bias – across
    four lifecycle stages of an AI DSS, concluding that stakeholders in the ongoing
    discussion about AI in the military domain should consider the impact of algorithmic
    bias on AI DSS more seriously."
author:
- first_name: Ishmael
  full_name: Bhila, Ishmael
  id: '105772'
  last_name: Bhila
- first_name: Ingvild
  full_name: Bode, Ingvild
  last_name: Bode
citation:
  ama: Bhila I, Bode I. <i>The Problem of Algorithmic Bias in AI-Based Military Decision
    Support Systems</i>. ICRC Humanitarian Law &#38; Policy Blog; 2024.
  apa: Bhila, I., &#38; Bode, I. (2024). <i>The problem of algorithmic bias in AI-based
    military decision support systems</i>. ICRC Humanitarian Law &#38; Policy Blog.
  bibtex: '@book{Bhila_Bode_2024, title={The problem of algorithmic bias in AI-based
    military decision support systems}, publisher={ICRC Humanitarian Law &#38; Policy
    Blog}, author={Bhila, Ishmael and Bode, Ingvild}, year={2024} }'
  chicago: Bhila, Ishmael, and Ingvild Bode. <i>The Problem of Algorithmic Bias in
    AI-Based Military Decision Support Systems</i>. ICRC Humanitarian Law &#38; Policy
    Blog, 2024.
  ieee: I. Bhila and I. Bode, <i>The problem of algorithmic bias in AI-based military
    decision support systems</i>. ICRC Humanitarian Law &#38; Policy Blog, 2024.
  mla: Bhila, Ishmael, and Ingvild Bode. <i>The Problem of Algorithmic Bias in AI-Based
    Military Decision Support Systems</i>. ICRC Humanitarian Law &#38; Policy Blog,
    2024.
  short: I. Bhila, I. Bode, The Problem of Algorithmic Bias in AI-Based Military Decision
    Support Systems, ICRC Humanitarian Law &#38; Policy Blog, 2024.
date_created: 2024-09-30T11:44:28Z
date_updated: 2024-11-26T09:49:48Z
has_accepted_license: '1'
keyword:
- Algorithmic Bias
- AI
- Decision Support Systems
- Autonomous Weapons Systems
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://blogs.icrc.org/law-and-policy/2024/09/03/the-problem-of-algorithmic-bias-in-ai-based-military-decision-support-systems/
oa: '1'
publication_status: published
publisher: ICRC Humanitarian Law & Policy Blog
related_material:
  link:
  - relation: confirmation
    url: https://blogs.icrc.org/law-and-policy/2024/09/03/the-problem-of-algorithmic-bias-in-ai-based-military-decision-support-systems/
status: public
title: The problem of algorithmic bias in AI-based military decision support systems
type: misc
user_id: '105772'
year: '2024'
...
---
_id: '29539'
abstract:
- lang: eng
  text: Explainable Artificial Intelligence (XAI) is currently an important topic
    for the application of Machine Learning (ML) in high-stakes decision scenarios.
    Related research focuses on evaluating ML algorithms in terms of interpretability.
    However, providing a human understandable explanation of an intelligent system
    does not only relate to the used ML algorithm. The data and features used also
    have a considerable impact on interpretability. In this paper, we develop a taxonomy
    for describing XAI systems based on aspects about the algorithm and data. The
    proposed taxonomy gives researchers and practitioners opportunities to describe
    and evaluate current XAI systems with respect to interpretability and guides the
    future development of this class of systems.
author:
- first_name: Jan-Peter
  full_name: Kucklick, Jan-Peter
  id: '77066'
  last_name: Kucklick
citation:
  ama: 'Kucklick J-P. Towards a model- and data-focused taxonomy of XAI systems. In:
    <i>Wirtschaftsinformatik 2022 Proceedings</i>. ; 2022.'
  apa: Kucklick, J.-P. (2022). Towards a model- and data-focused taxonomy of XAI systems.
    <i>Wirtschaftsinformatik 2022 Proceedings</i>. Wirtschaftsinformatik 2022 (WI22),
    Nürnberg (online).
  bibtex: '@inproceedings{Kucklick_2022, title={Towards a model- and data-focused
    taxonomy of XAI systems}, booktitle={Wirtschaftsinformatik 2022 Proceedings},
    author={Kucklick, Jan-Peter}, year={2022} }'
  chicago: Kucklick, Jan-Peter. “Towards a Model- and Data-Focused Taxonomy of XAI
    Systems.” In <i>Wirtschaftsinformatik 2022 Proceedings</i>, 2022.
  ieee: J.-P. Kucklick, “Towards a model- and data-focused taxonomy of XAI systems,”
    presented at the Wirtschaftsinformatik 2022 (WI22), Nürnberg (online), 2022.
  mla: Kucklick, Jan-Peter. “Towards a Model- and Data-Focused Taxonomy of XAI Systems.”
    <i>Wirtschaftsinformatik 2022 Proceedings</i>, 2022.
  short: 'J.-P. Kucklick, in: Wirtschaftsinformatik 2022 Proceedings, 2022.'
conference:
  end_date: 2022-02-23
  location: Nürnberg (online)
  name: Wirtschaftsinformatik 2022 (WI22)
  start_date: 2022-02-21
date_created: 2022-01-26T08:22:03Z
date_updated: 2022-01-26T08:24:30Z
department:
- _id: '195'
- _id: '196'
keyword:
- Explainable Artificial Intelligence
- XAI
- Interpretability
- Decision Support Systems
- Taxonomy
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://aisel.aisnet.org/cgi/viewcontent.cgi?article=1056&context=wi2022
oa: '1'
publication: Wirtschaftsinformatik 2022 Proceedings
status: public
title: Towards a model- and data-focused taxonomy of XAI systems
type: conference
user_id: '77066'
year: '2022'
...