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dc.contributor.authorYücesan, Melih
dc.contributor.authorAlkan, Ramazan
dc.contributor.authorGül, Muhammet
dc.date.accessioned2022-07-04T13:51:42Z
dc.date.available2022-07-04T13:51:42Z
dc.identifier.citationAlkan R., Yücesan M., Gül M., A multi-attribute decision-making to sustainable construction material selection: A Bayesian BWM-SAW hybrid model, "Advances in Best-Worst Method Proceedings of the Second International Workshop on Best-Worst Method (BWM2021)", Jafar Rezaei,Matteo Brunelli,Majid Mohammadi, Editör, Springer, London/Berlin , Zug, ss.67-78, 2022
dc.identifier.othervv_1032021
dc.identifier.otherav_5d4b1ed2-ea1e-45d8-bfa6-4d839c225d34
dc.identifier.urihttp://hdl.handle.net/20.500.12627/182940
dc.identifier.urihttps://link.springer.com/chapter/10.1007/978-3-030-89795-6_6
dc.description.abstractThe increase in urbanization and developments in the production industry has led to rapid progress in the construction sector. Many new strategies are developed in the industry to reduce costs and improve building quality. In recent years, the necessity of sustainable construction practices comes to the fore to renew the building stock damaged as a result of natural disasters and reduce the cost concerns that arise in this situation to a reasonable level. Due to limited resources and environmental concerns, researchers and practitioners have begun to develop sustainable building materials. The problem of selecting these materials when constructing a new building is vital. In particular, depending on the sector's rapid growth in Turkey, it is becoming more and more important to select the best sustainable construction material. Therefore, this paper proposes a model to evaluate the most appropriate sustainable construction material via two multi-attribute decision-making (MADM) methods called “Bayesian Best-Worst Method (BWM) and Simple Additive Weighting (SAW)”. Initially, the criteria derived from existing literature were evaluated with the aid of construction sector-based respondents and extra information about the interrelationship between the criteria were determined by credal ranking in Bayesian BWM. Then, via SAW, the most appropriate material was selected among a set of alternatives. Two cases regarding sustainable insulating material selection are considered for the demonstration of the proposed MADM model.
dc.language.isoeng
dc.publisherSpringer, London/Berlin 
dc.subjectMÜHENDİSLİK, ENDÜSTRİYEL
dc.subjectEndüstri Mühendisliği
dc.subjectMühendislik ve Teknoloji
dc.subjectMühendislik
dc.subjectMühendislik, Bilişim ve Teknoloji (ENG)
dc.titleAdvances in Best-Worst Method Proceedings of the Second International Workshop on Best-Worst Method (BWM2021)
dc.typeKitapta Bölüm
dc.contributor.department, ,
dc.contributor.firstauthorID3407673


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