Container handling problems at container terminals are NP-hard problems. This paper presents an approach using discrete-event simulation modeling to optimize solution for storage space allocation problem, taking into account all various interrelated container terminal handling activities. The proposed approach is applied on a real case study data of container terminal at Alexandria port. The co...

in this paper, a stochastic two-stage model is offered for optimization of the day-ahead scheduling of the microgrid. system uncertainties including dispatchable distributed generation and energy storage contingencies are considered in the stochastic model. for handling uncertainties, monte carlo simulation is employed for generation several scenarios and then a reduction method is used to d...

In this paper, a stochastic two-stage model is offered for optimization of the day-ahead scheduling of the microgrid. System uncertainties including dispatchable distributed generation and energy storage contingencies are considered in the stochastic model. For handling uncertainties, Monte Carlo simulation is employed for generation several scenarios and then a reduction method is used to decr...

Abstract Superoptimization is a compilation technique that searches for the optimal sequence of instructions semantically equivalent to given (loop-free) initial sequence. With advent SMT solvers, it has been successfully applied LLVM code (to reduce number instructions) and Ethereum EVM bytecode its gas consumption). Both applications, when proven practical, have left out memory operations thu...

The distribution warehouse is located between manufacturers and customers. Storage facilities are designed around four primary functions: holding, consolidation, break-bulk, and mixing. In addition, materials handling within a storage-handling system reduces to three primary activities: loading and unloading, movement to and from storage, and order filling. Generally, it is more difficult to bu...