Work-flow scheduling is for finding the allocation method to achieve optimal resource utilization. In process, constraints, such as time, cost and quality, need be considered. How balance these parameters a NP-hard problem, nonlinear manufacturing process increases difficulty of scheduling, so it necessary provide an effective heuristic algorithm. Aiming at problems, multi-objective virtual wor...

Mobility, safety, and environmental sustainability are priorities in the geometric design of roundabouts. This paper presents a multi-objective optimization model that determines elements single-lane roundabouts using all three objectives. The user can specify weights for objectives, or determine optimal weights. Mobility is defined terms roundabout delay modeled United Kingdom empirical model....

Modelling and forecasting Stock market is a challenging task for economists and engineers since it has a dynamic structure and nonlinear characteristic. This nonlinearity affects the efficiency of the price characteristics. Using an Artificial Neural Network (ANN) is a proper way to model this nonlinearity and it has been used successfully in one-step-ahead and multi-step-ahead prediction of di...

This study considers pricing, production and transportation decisions in a Stackelberg game between three-stage, multi-product, multi-source and single-period supply chains called leader and follower. These chains consist of; manufacturers, distribution centers (DCs) and retailers. Competition type is horizontal and SC vs. SC. The retailers in two chains try to maximize their profit through pri...

This paper is concerned with the oil & gas assets portfolio. A multi-objective portfolio model of studied from two perspectives—scale and revenue. Considering nonlinear integer constraints in model, a class mixed programming established. The weight solved by support vector machine model. hybrid genetic algorithm, which uses position displacement strategy particle swarm optimizer as mutation...

In this paper nonlinear Lagrange dual for a nonlinear multi-objective programming problem is formulated and it is proved that pareto optimal solution of the primal multi-objective programming problem and optimal solution of its nonlinear Lagrange dual are equal. Mathematics Subject Classification: 90C26, 90C39, 90C46

In this paper, a closed-loop location-inventory problem for spare parts is presented. The proposed supply chain network includes two echelons, namely (1) distribution centers (DCs) and repairing centers (RCs) and (2) operational bases. Multiple spare parts are distributed among operational bases from distribution centers in the forward supply chain and failed spare parts from operational bases ...

In the present research, a multi-objective model is proposed, which considers equity among the citizens in addition to the cost criterion. Then, the model will be solved using Reservation Level Tchebycheff Procedure (RLTP), which is one of the interactive multi-objective decision-making techniques. Subsequently, the obtained results will be compared with those of the single-objective models to ...

recently, much attention has been given to stochastic demand due to uncertainty in the real -world. in the literature, decision-making models and suppliers' selection do not often consider inventory management as part of shopping problems. on the other hand, the environmental sustainability of a supply chain depends on the shopping strategy of the supply chain members. the supplier selection pl...