Stochastic Pickup and Delivery Problem: A Bibliometric Review of Research Using VOSviewer

In this paper, we utilize the bibliometric review software VOSviewer to investigate the extent of existing research and emerging trends associated with the Stochastic Pickup and Delivery Problem (SPDP), a significant challenge in efficient logistics and transportation. We retrieved articles published between 1983 and 2024 from two databases: Scopus and Web of Science. Our analysis identifies key authors, influential publications, and collaborative networks shaping the SPDP research landscape. The results indicate that the stochastic approach is becoming increasingly critical within the field of operations research, highlighting the importance of addressing relevant practical issues. Additionally, new research trends and collaborative associations are unveiled, serving as a valuable guide for studies focused on optimizing logistics systems under uncertainty. This analysis provides insight into the SPDP research corpus, underscoring the relevance of this problem in enhancing the efficiency of transportation systems in uncertain environments.