Continuous approximation (CA) is an efficient and parsimonious technique for modeling
complex logistics problems. In this paper, we review recent studies that develop CA models …

We present an overview of continuous approximation models that have been developed for
freight distribution problems. A taxonomy of six classes is used to differentiate the problems …

Conic optimization is a significant and thriving research area within the optimization
community. Conic optimization is the general class of problems concerned with optimizing a …

In a typical location–allocation problem, customer demand data are often aggregated
according to some arbitrary spatial points (eg population centers) or boundaries (eg census …

Many companies face the strategic decision of deciding on the number of Distribution
Centers (DCs), their location, and which customers they serve. One objective for a company …

A real-world application involving the relocation and phase-out of a combined
manufacturing plant and warehousing facility is presented in this paper. The relocation and …

Faced with mounting cost pressure, many companies consider downsizing their distribution
networks in ways that involve consolidation or phase-out of some of their existing …

Although the logistics industry provides critical services to all sectors of the economy, few
studies exist in economic geography that examine and explain the organizational dynamics …

В статье рассматривается проблема эффективного размещения ключевых объектов
логистической инфраструктуры, способствующих уменьшению общих издержек в сети …

In the context of balanced allocation of products from different warehouses to different
customer hubs, a company may have to take decision on the maximum number of customer …