Economic and Environmental Sustainability Performance Improvements in the Outdoor Wood Furniture Industry Through a Lean-Infused FMEA-Supported Fuzzy QFD Approach
Melike Nur İnce, Emrecan Arpaci, Çağatay Taşdemir, Rado Gazo
19 March 2025 · Systems
Summary
No reviewed summary yet. Read the abstract below or open the original publication.
Abstract
Fiercer 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.
Abstract as supplied by the source. Full text may be restricted by the publisher.
Related publications
Predicting the mechanical properties of sawn timber: Basic non-destructive tools applicable to Norway spruce sawlogs
1 Sep 2026 · Rostislav Berezjuk, Matěj Šimek, Robert Mařı́k et al. · Central European Forestry Journal
Evaluation of Wood Processing in the Sawmilling Industry in Ekiti State, Nigeria
1 Jul 2025 · Ademola Ayodeji Omoyeni, Timileyin Samuel Oguntuase · International Journal of Advances in Engineering and Management
Moisture-induced timber joining - Utilizing the hygroscopicity and shape-memory effect of wood resulting in dimensional change in a prefabricated wood-only, self-built, sawn timber system for affordable housing in Colombia
1 Mar 2024 · Max Salzberger, Juan Sebastian Cruz Rojas, Gilbert Koskamp · Research Square
Stakeholder Perspectives on Aligning Sawmilling and Prefabrication for Greater Efficiency in Australia’s Timber Manufacturing Sector
22 Dec 2025 · Harshani Dissanayake, Tharaka Gunawardena, Priyan Mendis · Sustainability