Economic and Environmental Sustainability Performance Improvements in the Outdoor Wood Furniture Industry Through a Lean-Infused FMEA-Supported Fuzzy QFD Approach

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dc.authorid0000-0002-6916-8413
dc.authorid0000-0003-2886-5818
dc.authorid0000-0002-7161-630X
dc.authorid0000-0002-2467-7580
dc.contributor.authorInce, Melike Nur
dc.contributor.authorArpaci, Emrecan
dc.contributor.authorTasdemir, Cagatay
dc.contributor.authorGazo, Rado
dc.date.accessioned2026-02-08T15:16:03Z
dc.date.available2026-02-08T15:16:03Z
dc.date.issued2025
dc.departmentBursa Teknik Üniversitesi
dc.description.abstractFiercer competition across all industries has made identifying and eliminating lean wastes to enhance sustainability performance an effective route that many companies take. This study focuses on the production process of wood park/garden benches at a company that manufactures outdoor wood furniture. The goal was to identify lean wastes within a sustainability framework across seven operations and integrate multi-criteria decision making (MCDM) methodologies for waste elimination. Eleven lean KPIs addressing economic and environmental sustainability were used to develop and prioritize 13 lean failure modes (LFMs) with Risk Priority Numbers (RPNs) above 100, leading to lean project proposals for each LFM. Eighteen lean tools were ranked using the Fuzzy Quality Function Deployment (Fuzzy QFD) method. A total of eight improvement propositions, namely, Kaizen and continuous improvement, upgrade machinery for energy efficiency, Just-In-Time (JIT), optimize production processes with lean methodologies, implement cost reduction strategies, Total Productive Maintenance (TPM), Investing in Automation, and Andon were implemented. Significant improvements were observed post-implementation: total lead time was reduced by approximately 38.46%, value-added time by 22.05%, and non-value-added time by 47.64%. The required number of workers decreased by 14.29%, and the total inventory decreased by approximately 57.31%. The results contribute to sustainability goals by reducing energy consumption and waste while increasing economic efficiency. It also provides a robust framework for decision making in fuzzy environments, guiding practitioners and academics in lean management and sustainability.
dc.identifier.doi10.3390/systems13030211
dc.identifier.issn2079-8954
dc.identifier.issue3
dc.identifier.scopus2-s2.0-105002039145
dc.identifier.scopusqualityQ2
dc.identifier.urihttps://doi.org/10.3390/systems13030211
dc.identifier.urihttps://hdl.handle.net/20.500.12885/6092
dc.identifier.volume13
dc.identifier.wosWOS:001453905100001
dc.identifier.wosqualityQ1
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherMdpi
dc.relation.ispartofSystems
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.snmzWOS_KA_20260207
dc.subjectsustainability
dc.subjectlean management
dc.subjectmulti-criteria decision making
dc.subjectFMEA
dc.subjectFuzzy QFD
dc.titleEconomic and Environmental Sustainability Performance Improvements in the Outdoor Wood Furniture Industry Through a Lean-Infused FMEA-Supported Fuzzy QFD Approach
dc.typeArticle

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