The bullwhip effect is defined as the distortion of demand information as one moves upstream in the supply chain, causing severe inefficiencies in the whole supply chain. Although extensive research has been conducted to study the causes of the bullwhip effect and seek mitigation solutions with respect to several demand processes, less attention has been devoted to the ...

This study aims to investigate the different management policies of multi-reservoir systems and their impact on the demand supply and hydropower generation in Great Karun River basin. For this purpose, the semi-distributed simulation-optimization  model of the Great Karun River basin is developed. Also, the multi-objective particle swarm optimization algorithm is applied to optimize the develop...

Multi-label classification (MLC) extends multi-class classification by tagging each instance as multiple classes simultaneously. Different real-world MLC applications often demand different evaluation criteria (costs), which calls for cost-sensitive MLC (CSMLC) algorithms that can easily take the criterion of interest into account. Nevertheless, existing CSMLC algorithms generally suffer from h...

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...

The problem studied is one of buying and selling products cost efficiently over a number of periods in a finite horizon setting. Unit purchase costs vary across periods acording to some known distribution.and demand is deterministic but dependent on the price charged for the product. Thus, the problem becomes one of exploiting opportunities to “forward buy” and sell profitably in the face of co...