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UID:1142@cran.univ-lorraine.fr
DTSTART;TZID=Europe/Paris:20251020T100000
DTEND;TZID=Europe/Paris:20251020T130000
DTSTAMP:20251014T163503Z
URL:https://www.cran.univ-lorraine.fr/events/soutenance-de-these-de-sevra-
 cicekli/
SUMMARY:Soutenance de thèse de Sevra Cicekli
DESCRIPTION:Titre : A Sustainability-Oriented 4-Step Integrated Decision-Ma
 king Algorithm for Battery Selection: Integrating Expert Judgment and Boot
 strapping Analysis\n\nRésumé :\nSustainability plays an increasingly vit
 al role in shaping policies\, technologies\, and individual behavior\, par
 ticularly in the context of achieving the European Union’s Green Deal ob
 jectives. Among the sectors contributing significantly to greenhouse gas (
 GHG) emissions\, transportation stands out as a primary concern. Electric 
 vehicles (EVs) offer a promising solution for reducing emissions due to th
 eir lack of combustion engines and zero tailpipe emissions during operatio
 n. However\, the environmental and societal impacts associated with their 
 production\, especially during the extraction of raw materials for batteri
 es\, raise important concerns. These include risks related to the environm
 ent\, society\, governance\, and the long-term resource availability of cr
 itical raw materials.\nIn response to these challenges\, this thesis propo
 ses a comprehensive battery selection framework for EVs using a 4-step int
 egrated Multi-Criteria Decision-Making (MCDM) approach. The methodology ev
 aluates 12 battery alternatives based on a set of sustainability-related c
 riteria and includes inputs from both decision-makers (DMs) and citizens\,
  who represent the end users of EVs. Unlike previous studies that rely sol
 ely on DM or customer evaluations\, this research incorporates public pers
 pectives\, recognizing that consumer preferences significantly influence s
 ustainable adoption. The results highlight the sensitivity of the final ba
 ttery selection to citizen preferences\, emphasizing the importance of par
 ticipatory decision-making in sustainable design.\nTo further investigate 
 the robustness and accuracy of criteria weighting\, the second part of the
  thesis introduces a bootstrapping applied to DEMATEL and AHP methods unde
 r a fuzzy environment. This phase analyzes how varying the number of DMs a
 nd the sensitivity of the linguistic evaluation scales affect the stabilit
 y of the results across different numbers of criteria. Findings show that 
 increasing the number of DMs reduces error in weight calculations and that
  less sensitive linguistic scales produce more consistent and convergent o
 utcomes. Additionally\, as the number of criteria increases\, fewer DMs ar
 e required to reach reliable results\, which demonstrates the efficiency a
 nd scalability of the proposed approach.\n\nJury :\n\n 	Rapporteurs :\n\n 
 	Prof. Evren Sahin LGI\, CentraleSupelec\n 	Prof. Damien Trentesaux LAMIH\
 , Université Polytechnique Hauts de France\n 	MdC (HDR) Gilles Philippot 
 ICMCB\, Université de Bordeaux\n\n\n 	Examinateurs :\n\n 	MdC Tijana Vule
 vic Université de Belgrade\n 	MdC Pascale Marangé CRAN\, Université de 
 Lorraine\n 	Prof. Éric Levrat CRAN\, Université de Lorraine\n\n\n 	Invit
 és:\n\n 	Research Scientist Sylvain Kubler SnT\, University of Luxembourg
 \n 	MdC Tuncay Gürbüz Galatasaray University\n\n\n 	Directeurs de thèse
  :\n\n 	Prof. Éric Rondeau CRAN\, Université de Lorraine\n 	MdC Alexandr
 e Nominé IJL\, Université de Lorraine\n\n\n
CATEGORIES:Événement interne
LOCATION:FST - Amphi 7\, Faculté des Sciences et Technologies\, Boulevard 
 des Aiguillettes\, Vandooeuvre-lès-Nancy\, 54506\, France
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=Faculté des Sciences et Te
 chnologies\, Boulevard des Aiguillettes\, Vandooeuvre-lès-Nancy\, 54506\,
  France;X-APPLE-RADIUS=100;X-TITLE=FST - Amphi 7:geo:0,0
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TZID:Europe/Paris
X-LIC-LOCATION:Europe/Paris
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DTSTART:20250330T030000
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TZOFFSETTO:+0200
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