Strategy development for supplier selection process with smart and sustainable criteria in fuzzy environment

Supply chain management has been mutated to adapt to the developments over the last couple of decades. Smart paradigms, one of today's most significant paradigm shifts, occur in almost every moment of our daily lives. On the other hand, the importance of sustainability has increased more and more, with the reduction of available resources of our world, increasing the effect of climate change and environmental degradation. In this context, this study, it is aimed to develop a strategy for the supplier selection process by investigating the impacts of using different fuzzy environments and different decision-making methods on smart and sustainable supplier selection. The applicability of the proposed approaches has been demonstrated by a supplier selection case study of Company V, an automobile spare parts manufacturer. With the comparative analyzes made, it has been observed that although different fuzzy environments or the use of varying decision-making methods in supplier selection create minor differences in criterion weights, it does not make any difference in supplier evaluations. For this reason, it has been concluded that it does not affect supplier selection. In addition, it has been investigated how the distinct supplier distributions in the strategies developed with the scenario analysis made affect each purpose of Company V. To the best knowledge of authors, strategy development for the smart and sustainable criteria-based supplier selection process is a pioneering work in this field as it has never been studied before in the literature.