Driven by globalization, the COVID-19 outbreak has severely impacted global transport and
logistics systems. To better cope with this globalization crisis, the Belt and Road Initiative …

This paper introduces the hub location problem with Bernoulli demands (HLPBD). The
problem is a variant of capacitated stochastic hub location problems in which demands for …

This paper introduces robust stochastic models for profit-maximizing capacitated hub
location problems in which two different types of uncertainty, including stochastic demand …

The hub location problem (HLP) is a fundamental facility planning problem with various
applications in transportation, logistics, and telecommunication systems. Due to strategic …

This paper introduces the stochastic multi-modal hub location problem with direct link
strategy and multiple capacity levels for cargo delivery systems under demand uncertainty …

In this paper, we propose robust optimisation models for the distribution network design
problem (DNDP) to deal with uncertainty cases in a collaborative context. The studied …

In this paper, optimization and simulation techniques are integrated to address single and
multiple allocation hub network design problems under uncertainty. Using a scenario-based …

With the rapid development of the logistics market, the construction of an efficient “channel+
hub+ network” logistics system, that is, a hub-and-spoke logistics network, is of great …

Airlines commonly need to take into consideration maximizing their profit while designing
the hub-and-spoke network to obtain more market share and promote healthy development …

In this chapter, we review models and methods that incorporate uncertainty in hub location
problems. In particular, we present stochastic and robust optimization models to formulate …