Stochastic Vehicle Routing Problem: A Literature Survey

Abstract. The purpose of this paper is to develop structural classi¯cation of Stochastic Vehicle Routing Problem (SVRP) by di®erent domains and attributes. This research used a systematic review and meta-analysis on SVRP literatures. This includes browsing relevant researches and publications, screening related articles, identifying domains, attributes and categorising the articles based on the identi¯ed domains and attributes. The ¯ndings of the study show clear di®erences on the number of studies under each domain and attribute. Most studied attri-butes are stochastic customer demand, capacitated vehicle, synthesis data and objective function with cost minimization. Whereas the least studied are maximisation objective function, stochastic service time, and an applied model using stochastic with recurs. The research helps to summarise and map a com-prehensive survey on SVRP literatures so that various con-tributions in the ¯eld are organised in a manner that provide a clear view for the readers and identify future research directions. This paper is the ¯rst of its kind in the ¯eld of SVRP that develop a classi¯cation scheme for articles published since 1993 to enhances the development of this newly emerging discipline