Sustainable resilient supplier selection for IoT implementation based on the integrated BWM and TRUST under spherical fuzzy sets

Abstract

Supplier selection process plays a vital role in supply chain management and is the most important variable in its success. With increasing environmental considerations, organizations must consider sustainability considerations and economic goals to protect the environment. Furthermore, the destructive effects of disruptions on the supply chain performance of companies have prompted organizational experts to pay special attention to the concept of resilience. This study developed an integrated approach based on the extended version of Multi-Criteria Decision-Making (MCDM) methods in a spherical fuzzy (SFS) environment to address sustainable and resilient IoT supplier selection. In the proposed approach, the main criteria (i.e., resilience, and sustainability) have been used in the supplier selection process. Then, these criteria are weighted using the developed SFS-Best-Worst Method (BWM), which reduces uncertainty in pairwise comparisons. In the next step, the 14 selected IoT suppliers are evaluated and prioritized by applying SFS-mulTi-noRmalization mUlti-Distance aSsessmenT (TRUST) that considers a multi-normalization algorithm to reduce subjectivity in normalized data. The results of this study shows that the pollution control and risk-taking sub-criteria are placed in the first and second priorities, respectively. The comparison of the results of the SFS-TRUST with other MCDM methods and sensitivity analysis demonstrates the performance of the proposed approach and its ranking stability in various scenarios.

A Comprehensive Evaluation Model for Smart Supply Chain Based on The Hybrid Multi-Criteria Decision-Making Method

“…Subsequently, this set of dimensions and factors was updated based on the expert opinions gathered through the Delphi technique. Following this, through the analysis of data obtained from a paired comparisons questionnaire, and utilizing the fuzzy bestworst group technique, each criterion was evaluated, allowing for the determination of the most and least crucial criteria [27][28][29][30]. The stages of research implementation are illustrated in Figure 1.…”

Supplier Selection in the Age of Industry 4.0: A Review on MCDM Applications and Trends

“…While it is crucial to select a supplier that can provide quality products on time, organizations must also be mindful of the cost implications. The cost of goods and services from suppliers directly affects a company's profitability [4]. Supplier selection involves analyzing various cost factors, including the purchase price, transportation costs, inventory carrying costs, and any hidden costs such as customs duties or taxes.…”

Disruptive supply chain technology assessment for sustainability journey: A framework of probabilistic group decision making

“…Later, Moreno-Solaz et al (2023) applied a Stratified-BWM in selecting waste collection trucks considering sustainability and uncertainty associated with feasible future scenarios [ 55 ]. To evaluate sustainable and resilient IoT supplier selection, Bonab et al (2023) proposed an integrated approach based on spherical fuzzy and BWM to reduce uncertainty in pairwise comparisons [ 56 ]. Dong et al (2021) implemented a fuzzy BWM based on Bellman and Zadeh's extension principle for MCDM problem and compared their findings with BWM and conventional fuzzy BWM [ 43 ].…”