Cross docking is a logistics strategy that strives to reduce inventory holding costs, shipping costs, and delays in delivering the products. In this research, an optimization model is presented for split loading and unloading products by suppliers and customers, vehicle routing with fuzzy possibilistic time window constraints among them, assignment of vehicles to cross dock, consolidation and i...

 In this research, a tri-objective mathematical model is proposed for the Transportation-Location-Routing problem. The model considers a three-echelon supply chain and aims to minimize total costs, maximize the minimum reliability of the traveled routes and establish a well-balanced set of routes. In order to solve the proposed model, four metaheuristic algorithms, including Multi-Objective Gre...

Abstract With the development of energy Internet, integrated network electricity-gas interconnection has become an important research object optimization. To improve absorption capacity and utilization efficiency renewable in a regional network, comprehensive multi-objective optimization model containing power to gas (P2G) is proposed this paper. The considers two objectives pollutant emission ...

In this article, a multi-objective planning is demonstrated for reactive power compensation in radial distribution networks with wind generation via unified power quality conditioner (UPQC). UPQC model, based on phase angle control (PAC), is used. In presented method, optimal locating of UPQC-PAC is done by simultaneous minimizing of objective functions such as: grid power loss, percentage of n...

The first step in the design phase of Brushless Direct Current (BLDC) motor is formulation mathematical framework and often used due to its analytical structure. Therefore, BLDC problem considered be an optimization problem. In this paper, model presented, it a basis for emphasizing methods. experimentation has 78 non-linear equations, two objective functions, five variables, six constraints, s...

The accurate classification of reservoir recovery factor is dampened by irregularities such as noisy and high-dimensional features associated with the measurements or characterization. These irregularities, especially a larger number features, make it difficult to perform factor, generated are usually heterogeneous. Consequently, imperative select relevant while preserving amplifying accuracy. ...

This work proposes a new meta-heuristic called Grey Wolf Optimizer (GWO) inspired by grey wolves (Canis lupus). The GWO algorithm mimics the leadership hierarchy and hunting mechanism of grey wolves in nature. Four types of grey wolves such as alpha, beta, delta, and omega are employed for simulating the leadership hierarchy. In addition, the three main steps of hunting, searching for prey, enc...

Optimization methods for a hybrid microgrid system that integrated renewable energy sources (RES) and supplies reliable power to remote areas, were considered in order overcome the intermittent nature of RESs. The AC/DC was constructed with solar photovoltaic system, wind turbine, battery storage, converter, diesel generator. There is steady increase utilization microgrids; consequently, it nec...

This paper investigates the nonidentical parallel production line scheduling problem derived from an axle housing machining workshop of manufacturer. The characteristics lines are analyzed, and a model with jumping process operation (NPPLS-JP), which considers mixed production, machine eligibility constraints, fuzzy due dates, is established so as to minimize makespan earliness/tardiness penalt...