In this paper, a novel scenario-based two-level inventory control model with a limited budget is formulated. The demand during the selling period is considered to follow a uniform probability distribution. In addition, it is assumed that there will be some customers who are willing to wait for their demands to be satisfied; thus a service level is considered for these customers. The aim is to f...

An inventory manager is typically concerned with a number of diierent products. His decision-making task is made complicated by such factors as interdependent uncertain product demands and competition for limited storage space. The stochastic inventory problem involving these complexities cannot in general be decomposed into a number of distinct single product problems. In the paper \Stochastic...

A stochastic multiproduct capacitated facility location problem involving a single supplier and multiple customers is investigated. Due to the stochastic demands, a reasonable amount of safety stock must be kept in the facilities to achieve suitable service levels, which results in increased inventory cost. Based on the assumption of normal distributed for all the stochastic demands, a nonlinea...

We introduce an approach and a software tool for solving coupled energy networks composed of gas electric power networks. Those are to stochastic fluctuations address possibly fluctuating demand due demands supplies. Through computational results, the presented is tested on realistic size.

In this paper, we deal with the vehicle routing problem where vehicles have finite capacities and demands of customers are uncertain. We represent the uncertain demands by triangular fuzzy numbers and interpret them as possibility distributions. According to the same consideration as the stochastic programming with recourse, we treat the influence of the fuzziness of customers’ demands as recou...

We introduce a dynamic economic lot sizing problem whose production cost considers both setup and the designed-and-yet stretchable production capacity. Demands and the control on production activities drive the evolution of the production system. We give a pseudo-polynomial algorithm for the problem when future demands are known. When there is uncertainty in future demands and there is no holdi...

This paper presents an optimization method to the Demand Side Energy Management System (DSEMS) of a given consumer (e.g.an industrial compound or university campus) with respect to hourly electricity prices. The demands can be supplied through the main grid and stochastic Distributed Energy Resources (DERs), such as wind and solar power sources. To solve this DSEMS problem and optimization algo...

In this paper, we considered a failure-prone manufacturing system composed by a single-product machine, a stock and a customer who demands a stochastic quantity of product. To describe the proposed manufacturing system, a discrete flow model is adopted and which takes into account machine failure, lost demands and machine degradation. The goal of this paper is to determine the optimal productio...