Lean and Sustainable Supplier Selection in the Furniture Industry

Abstract

The furniture manufacturing sector faces intricate challenges in pioneering sustainable supply chains, particularly with lean and sustainable supplier selection. This study focused on integrating key performance indicators (KPIs) associated with lean philosophy and sustainability into multi-criteria decision-making (MCDM) methodologies. The study methodically evaluated 18 criteria spanning economic, environmental, and social dimensions to discern supplier suitability in both leanness and sustainability realms. Through the ENTROPY method, weights were systematically assigned to these criteria. Subsequently, Fuzzy ARAS and Fuzzy TOPSIS methods were adeptly employed to comparatively assess supplier options. Noteworthy findings included the paramount importance of the distance to the customer and labor practices in supplier selection. The quality level, however, carried the least weight, mainly due to comparable performance scores among alternatives. Consistently, Fuzzy ARAS and Fuzzy TOPSIS results converged to pinpoint Supplier 2 as the optimal choice, reflecting its superior Ki and CCi metrics. Central to this research was the introduction of a structured and holistic framework for lean and sustainable supplier selection, a significant leap forward that promises to be an invaluable asset for practitioners and scholars in the furniture industry, supply chain management, multi-criteria decision-making, and policymaking.

Determination of the Occurrence of Negative Impacts during Lowering of Sinking Wells Using the Fuzzy TOPSIS Method

“…Sinking and subsidence monitoring was also carried out in article [14]. The article [15] presented procedures to mitigate the occurrence of some of the difficulties during the completion of sinking wells. It was pointed out that improper sinking of wells can cause…”

“…Multi-criteria decision-making methods have found application in many fields. Previous work [15] has applied the fuzzy TOPSIS method to supplier selection in the furniture industry. In his work, Anbarkhan [16] proposed an innovative approach to sustainability assessment in software engineering using the fuzzy TOPSIS method.…”