  Continuum Approximation (CA) is an efficient and parsimonious technique for
modeling complex logistics problems. In this paper,we review recent studies
that develop CA models for transportation, distribution and logistics problems
with the aim of synthesizing recent advancements and identifying current
research gaps. This survey focuses on important principles and key results from
CA models. In particular, we consider how these studies fill the gaps
identified by the most recent literature reviews in this field. We observe that
CA models are used in a wider range of applications, especially in the areas of
facility location and integrated supply chain management. Most studies use CA
as an alternative to exact solution approaches; however, CA can also be used in
combination with exact approaches. We also conclude with promising areas of
future work.
