Sentence examples for facilities disruption from inspiring English sources

Moreover, the risk of facilities' disruption is predicted under different scenarios and a reliable model is presented.

This paper presents game-theoretical models based on a continuous approximation (CA) scheme to optimize service facility location design under spatial competition and facility disruption risks.

We derive lower and upper bounds to this highly complex problem by approximating the expected total system costs across the normal and all probabilistic facility disruption scenarios.

Based on some prospects for risk management, this study investigates a logistics network design problem with facility disruption that will be caused by various risks.

Numerical experiments (with hypothetical and empirical data) are conducted to show the impacts of competition, facility disruption risks and transportation cost metrics on the optimal design.

This paper first presents a scenario-based stochastic mixed-integer non-linear program (MINLP) model that integrates facility disruption risks, en-route traffic congestion and in-facility queuing delay into an integrated facility location problem.

This paper aims to propose a modeling framework for reliable facility location design under imperfect information, i.e., when customers do not know the real-time information of facility disruption states.

Wang and Ouyang (2013) presented a model for optimizing service facility location design under spatial competition and facility disruption risks.

To the future research, the implementation of variety of services (hierarchical network), reliability, sustainability, planning for global logistics and relief management in crisis, waiting time for services (queuing theory) and risk of facility disruption need to be taken into account as new recent trends and contributions and further study in DLPs.

The designing of reliable facility location is an important way to evade against unexpected facility disruptions.

Facility disruptions are among the most critical events that supply chains can experience.