[{"user_id":"58595","editor":[{"first_name":"Jose David Nunez","last_name":"Gonzalez","full_name":"Gonzalez, Jose David Nunez"},{"last_name":"Romay","first_name":"Manuel Grana","full_name":"Romay, Manuel Grana"}],"volume":24,"page":"65-72","_id":"67286","status":"public","conference":{"location":"San Sebastian, Spain","name":"24th Industrial Simulation Conference 2026 ","start_date":"2026-05-27","end_date":"2026-05-29"},"oa":"1","quality_controlled":"1","citation":{"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).","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.","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.","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.","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.","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.","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} }"},"main_file_link":[{"open_access":"1"}],"language":[{"iso":"eng"}],"date_updated":"2026-10-01T12:25:43Z","intvolume":"        24","title":"Leveraging System Simulation for Decision  Support in Strategic Product Planning","year":"2026","corporate_editor":["EUROSIS-ETI"],"author":[{"id":"47565","full_name":"Gräßler, Iris","first_name":"Iris","orcid":"0000-0001-5765-971X","last_name":"Gräßler"},{"id":"58595","last_name":"Özcan","first_name":"Deniz","full_name":"Özcan, Deniz"},{"orcid":"https://orcid.org/0009-0005-7676-4036","first_name":"Niklas","last_name":"Döhner","full_name":"Döhner, Niklas","id":"108017"}],"publication_identifier":{"isbn":["978-9-492859-40-2"]},"type":"conference","keyword":["Decision-making","Decision support systems","Mechanical engineering","System analysis","System engineering"],"department":[{"_id":"43"},{"_id":"9"},{"_id":"26"},{"_id":"152"}],"date_created":"2026-09-30T11:48:43Z","abstract":[{"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. ","lang":"eng"}],"publication":"24th INTERNATIONAL INDUSTRIAL SIMULATION CONFERENCE "},{"has_accepted_license":"1","publication_status":"published","date_updated":"2024-11-26T09:49:48Z","author":[{"id":"105772","full_name":"Bhila, Ishmael","first_name":"Ishmael","last_name":"Bhila"},{"full_name":"Bode, Ingvild","first_name":"Ingvild","last_name":"Bode"}],"status":"public","year":"2024","title":"The problem of algorithmic bias in AI-based military decision support systems","user_id":"105772","_id":"56282","publisher":"ICRC Humanitarian Law & Policy Blog","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/"}],"abstract":[{"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.","lang":"eng"}],"related_material":{"link":[{"url":"https://blogs.icrc.org/law-and-policy/2024/09/03/the-problem-of-algorithmic-bias-in-ai-based-military-decision-support-systems/","relation":"confirmation"}]},"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.","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} }","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.","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.","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.","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."},"oa":"1","keyword":["Algorithmic Bias","AI","Decision Support Systems","Autonomous Weapons Systems"],"type":"misc","date_created":"2024-09-30T11:44:28Z"},{"date_created":"2022-01-26T08:22:03Z","oa":"1","department":[{"_id":"195"},{"_id":"196"}],"type":"conference","keyword":["Explainable Artificial Intelligence","XAI","Interpretability","Decision Support Systems","Taxonomy"],"citation":{"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} }","short":"J.-P. Kucklick, in: Wirtschaftsinformatik 2022 Proceedings, 2022.","ama":"Kucklick J-P. Towards a model- and data-focused taxonomy of XAI systems. In: <i>Wirtschaftsinformatik 2022 Proceedings</i>. ; 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.","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).","mla":"Kucklick, Jan-Peter. “Towards a Model- and Data-Focused Taxonomy of XAI Systems.” <i>Wirtschaftsinformatik 2022 Proceedings</i>, 2022."},"publication":"Wirtschaftsinformatik 2022 Proceedings","abstract":[{"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.","lang":"eng"}],"language":[{"iso":"eng"}],"_id":"29539","main_file_link":[{"url":"https://aisel.aisnet.org/cgi/viewcontent.cgi?article=1056&context=wi2022","open_access":"1"}],"user_id":"77066","conference":{"name":"Wirtschaftsinformatik 2022 (WI22)","start_date":"2022-02-21","location":"Nürnberg (online)","end_date":"2022-02-23"},"author":[{"full_name":"Kucklick, Jan-Peter","last_name":"Kucklick","first_name":"Jan-Peter","id":"77066"}],"status":"public","year":"2022","title":"Towards a model- and data-focused taxonomy of XAI systems","date_updated":"2022-01-26T08:24:30Z"}]