Selection of wooden furniture joints with multi-criteria decision-making techniques


Yilmaz K., Burdurlu E.

WOOD MATERIAL SCIENCE & ENGINEERING, cilt.19, sa.2, ss.311-326, 2024 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 19 Sayı: 2
  • Basım Tarihi: 2024
  • Doi Numarası: 10.1080/17480272.2023.2242329
  • Dergi Adı: WOOD MATERIAL SCIENCE & ENGINEERING
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.311-326
  • Anahtar Kelimeler: Consumer tendency, Decision aid systems, Decision variable, Furniture joints, MCDM, Purchase decision
  • Gazi Üniversitesi Adresli: Evet

Özet

In this study, it was aimed to select the most suitable dowelled-leg-and-rail joint (DLRJ) type with multi-criteria decision-making (MCDM) techniques. For this purpose,five types of DLRJ with staggered-rail,flush-rail, lapped-rail, elevated-rail, and mitered-and-lapped-rail were selected as the decision-alternatives and 4-variables consisting of strength, cost, capacity and aesthetics were determined asthe decision-criteria. To obtain data, sample tests for the strength values, a work-study analysis for thecapacity and cost values, and a questionnaire were performed for the aesthetic superiority values ofthe joints. In prioritization of the decision criteria and selection and ranking of the alternatives, CriteriaImportance through Intercriteria Correlation (CRITIC) + Additive Ratio Assessment (ARAS) hybridmethod was used. According to the questionnaire, the most aesthetically pleasing joint was the DLRJwithflush-rail while the DLRJ with lapped-rail was the lowest priority joint type. According to theresults of the CRITIC application, strength was the top priority criterion in the selection. The cost, thecapacity and the aesthetics followed this respectively. According to the results of the ARASapplication, the DLRJ with mitered-and-lapped-rail was optimal while the DLRJ with lapped rail wasthe last choice option. An increase in the number of criteria, the variables of criteria and the analysisvalues of these variables are effective factors in the results.