Sustainable Supplier Selection in Construction Industry through Hybrid Fuzzy-Based Approaches

Abstract

Due to increase in the public and stakeholders’ awareness regarding economic, environmental, and social issues, the construction industry tends to follow the sustainability policies and practices in supply chain management. Hence, one of the most crucial aspects for a construction company in this regard is sustainable supplier selection, and, to this end, an accurate and reliable model is required. In this paper a hybrid fuzzy best-worst method and fuzzy inference system model is developed for sustainable supplier selection. In the first phase of this study, after determining 19 criteria in three main aspects, the final weight of each aspect and criterion is obtained using fuzzy best-worst method approach. In the second phase, the most sustainable supplier is selected by running the weighted fuzzy inference system both in aspect and criterion level, providing more accurate results compared to the use of other available models. Finally, two different tests are employed to validate the results and evaluate the robustness of the proposed model. The novel developed model enables the decision-maker to simulate the decision-making process, reduce the calculations loads, consider a large number of criteria in decision making, and resolve the inherited uncertainties in experts’ responses.

A Hybrid MCDM Approach in Third-Party Logistics (3PL) Provider Selection

“…Aguezzoul and Pache [25] AHP-ELECTRE I Özcan and Ahıskalı [51] MCDM-linear programming Hoseini et al [64] fuzzy-best-Worst method and FIS Whang et al [3] fuzzy-AHP and fuzzy-VIKOR Kurniawan and Puspitasari [65] fuzzy-best-worst method…”

“…Hoseini et al [3] used the combination of the fuzzy-best-worst method and the fuzzy inference system to solve the supplier selection issue in the construction industry. Kurniawan and Puspitasari [64] evaluated the criteria for supplier selection by applying fuzzy logic and the best-worst method. Whang et al [65] used the fuzzy-AHP and fuzzy-VIKOR Methods in sustainable supply chain third-party logistics.…”

Supplier Selection through Multicriteria Decision-Making Algorithmic Approach Based on Rough Approximation of Fuzzy Hypersoft Sets for Construction Project

“…Therefore decision-makers should select the decisive criteria with great care and investigation. Several criteria (parameters) have already been discussed by numerous researchers for supplier selection in CSCM but the criteria discussed in researches [34][35][36][37][38][39][40][41][42][43][44] are found more significant and relevant to the proposed study. As the proposed study is concerned majorly with the consideration of HSenvironment, therefore with the keen analysis of criteria given by these researchers, only those criteria are likely to opt which may further be categorized into their sub-parametric valued disjoint classes to fulfil the requirements of HS-environment.…”

“…Conventionally, managers only concentrate on procuring from suppliers who can provide substances at a cheaper rate, a good quality, and a short due course [33]. Several researchers [34][35][36][37][38][39][40][41][42][43][44] made rich contributions for the optimal selection of suppliers with the discussion of CSCM-based case studies and daily life scenarios by using several techniques like grey relational analysis approach, multi-objective programming approach, grey combined compromise solution (CoCoSo-G) method, hybrid fuzzy-based approach and analytic hierarchy process approaches etc.…”

A Pythagorean Fuzzy Approach for Sustainable Supplier Selection Using TODIM

“…Tavana et al [28] used the ANP-QFD framework to solve the challenge of sustainable supplier selection, whereas Okwu and Tartibu [29] proposed a TOPSIS and ANFIS-based method to the problem of long-term supplier selection. Several other combined methods, such as fuzzy best worst method--fuzzy interference system (FBWM-FIS)-a hybrid fuzzy approach was used by Hoseini et al [30] in Sustainable Supplier Selection (SSS) for construction industry, to simulate decision-making process for dealing with large number of criteria. Akman [31] utilised other MCDM techniques, such as VIKOR, while assessing suppliers to incorporate green supplier development plans using Fuzzy C Means.…”