This paper mainly investigates the location problem of multi-product logistics distribution centers in uncertain environment. Based on the assumption that the customers’ demands and the transportation times are uncertain variables, an uncertain programming model is constructed. On the precondition of satisfying the capacity constraint and time window constraint, the objective of the model is to...

This paper considers the problem of designing districts for vehicle routing problems with stochastic demands. In particular, demands are assumed to be uncertain at the time when the districts are made, and these are revealed only after the districting decisions are determined. Tabu search and multistart heuristics for this stochastic districting problem are developed and compared. Computational...

In this paper a general methodology is proposed based on robust optimization for an inventory control problem subject to uncertain demands and uncertain lead times. Several lead time uncertainty sets are proposed based on the budget uncertainty set, and a set based on the central limit theorem (CLT). Robust optimization models are developed for a periodic review, finite horizon inventory contro...

In this study we discuss the application of robust optimization to the problem of economic energy dispatch in smart grids. Robust optimization based MPC strategies for tackling uncertain load demands are developed. Unexpected additive disturbances are modelled by defining an affine dependence between the control inputs and the uncertain load demands. The developed strategies were applied to a h...

We study stochastic uncapacitated hub location problems in which uncertainty is associated to demands and transportation costs. We show that the stochastic problems with uncertain demands or dependent transportation costs are equivalent to their associated deterministic expected value problem (EVP), in which random variables are replaced by their expectations. In the case of uncertain independe...

This paper copes with a joint Location-Allocation-Inventory problem in three-echelon base-level spare part support system epistemic uncertainty uncertain demands of bases. The aim the is to propose an optimization model under theory minimize total cost, which integrates crucial characterizations inventory control decisions and location-allocation scheme arrangement periodic review order-up-to-S...