Exploring scientific publications for the development of relevant and effective supplier selection methods and criteria in the food Industry: A comprehensive analysis

Abstract

This study conducted a comprehensive bibliometric analysis to uncover emerging trends, preference patterns in supplier selection, and the important factors considered in the process. This study integrates three interrelated approaches, namely bibliometric analysis, literature review, and expert interviews. This study demonstrates the significant contribution of combining bibliometric analysis and literature review in the development of supplier selection methods. Two primary approaches are commonly employed: Multi-Criteria Decision Making (MCDM) and Optimization. MCDM methods, such as AHP, SWARA, and TOPSIS, are frequently utilized to measure relative preferences and select the most suitable supplier. On the other hand, the optimization approach employs linear programming methods to achieve optimal solutions in supplier selection. The hybridization of methods, particularly the combination of AHP and Linear Programming, is the most commonly employed approach to achieve more effective supplier selection outcomes aligned with the food industry's needs. Furthermore, this study discusses the significance of identifying and developing relevant supplier criteria in the food industry. Notably, environmental criteria emerge as prominent qualitative criteria, while quality and sustainability stand out as primary quantitative criteria.