During the clinical years, medical students frequently experience physical and mental health problems, which are exacerbated by their work schedules. To address this issue, we develop a bi-objective mathematical model in study. The two objectives of 1) balancing workload each student group 2) minimizing deviation among groups. In addition, includes constraints on ward rotation sequencing. requi...

The radio stripe (RS) system is a practical implementation of cell-free mMIMO, in which set multi-antenna access points (APs) serves at the same time-frequency resources user equipment (UE) network. APs are sequentially connected stripe, sharing fronthaul link to central processing unit. This work considers an uplink power optimization problem that aims enhance network spectral efficiency (SE) ...

The current literature in the rail–truck intermodal transportation of hazardous materials (hazmat) domain ignores congestion at intermodal yards. We attempt to close that gap by proposing a bi-objective optimization framework for managing hazmat freight that not only considers congestion at intermodal yards, but also determines the appropriate equipment capacity. The proposed framework, i.e., a...

Vendor managed inventory is a continuous replenishment program that is designed to provide major cost saving benefits for both vendors and retailers. Previous research on this area mainly included single objective optimization models where the objective is to minimize the total supply chain costs or to maximize the total supply chain benefits. This paper presents a bi-objective mathematical mod...

Dynamic Multi-Objective Optimization Problems (DMOPs) and Many-Objective (MaOPs) are two classes of the optimization field that have potential applications in engineering. Modified Evolutionary Algorithms hybrid approaches seem to be suitable effectively deal with such problems. However, standard Crow Search Algorithm has not been considered for either DMOPs or MaOPs date. This paper proposes a...

in this paper, a multi-product single machine scheduling problem with the possibility of producing defected jobs, is considered. we concern rework in the scheduling environment and propose a mixed-integer programming (mip) model for the problem.  based on the philosophy of just-in-time production, minimization of the sum of earliness and tardiness costs is taken into account as the objective fu...

This paper considers a bi-objective mathematical model for locations of landfills, transfer stations and material recovery facilities (MRFs) in order to serve the entire regions and simultaneously identify the capacities of landfills. This is a mixed-integer programming (MIP) model, whose objectives are to minimize the total cost and pollution simultaneously. To validate the model, a numerical ...