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

Advancements in Continuum Approximation Models for Logistics and Transportation Systems: 1996 - 2016