hub location problems are among the extensions ofclassical location problems that have numerous applications in designingtransportation, postal, and telecommunication networks. despite the evidentattention of researchers to these problems, there are few studies on designinghub networks under uncertainty and disruption. in this study, the capacitatedsingle allocation hub location problem under d...

real-time pricing schemes make the customers to feel the energy price volatility and improve their load profiles. however, these schemes have no significant effect on demand-side uncertainty reduction. in this paper, considering smart grid infrastructures and smart building energy management system (ems), a new real-time pricing scheme is presented to reduce the uncertainty of demand-side. in t...

Under the smart grid environment, demand response resources (DRRs) are introduced as a virtual power plant to enhance power system adequacy. DRRs often fail to reduce their load due to some external factors. In this paper, a reliability model of a DRR is constructed as multi-state conventional generation units, where the probability, frequency of occurrence, and departure rate of each state can...

This paper represents a long-standing collaboration between Robert Fildes and Brian Kingsman who sadly died before it could be completed. This paper proposes a methodology for examining the effect of demand uncertainty and forecast error on lot sizing methods, unit costs and customer service levels in MRP type manufacturing systems. A number of cost structures were considered which depend on th...

1 We extend the existing toll pricing studies with fixed demand to stochastic demand. A new and 2 practical second-best pricing problem with uncertain demand is proposed and formulated as a 3 stochastic mathematical program with equilibrium constraints. In view of the problem structure, 4 we develop a tailored global optimization algorithm. This algorithm incorporates a sample 5 average approxi...

We study the price competition of two supply chains with demand uncertainty. Each supply chain consists of one risk-averse manufacturer and one risk-averse retailer. We consider two cases: two competing decentralized supply chains and two competing integrated supply chains. We analyze the effects of the demand uncertainty on the supply chains’ expected profits. In the first case, we find that t...

One of the most challenging issues in multi-objective problems is finding Pareto optimal points. This paper describes an algorithm based on Benders Decomposition Algorithm (BDA) which tries to find Pareto solutions. For this aim, a multi-objective facility location allocation model is proposed. In this case, an integrated BDA and epsilon constraint method are proposed and it is shown that how P...

We explore the relevance of the risk attitude of managers to the investment-uncertainty relation. Higher moments of the distribution of net profits are used to measure the risk premium of the firm, from which we derive a proxy for the risk aversion of managers. Using an unbalanced panel of Dutch listed firms, we find that in general a low degree of risk aversion coincides with a positive impact...