Robust supplier selection problem, in a scenario-based approach has been proposed, when the demand and exchange rates are subject to uncertainties. First, a deterministic multi-objective mixed integer linear programming is developed; then, the robust counterpart of the proposed mixed integer linear programming is presented using the recent extension in robust optimization theory. We discuss dec...

Current design methods and approaches focus on increasing the efficiency of the product design system by, for example, eliminating waste and focusing on value creation. However, continuing failures in the development of complex, large scale products and systems point towards weaknesses in the existing approaches. We argue that product development organizations are hindered by the many uncertain...

In this paper, a task-space controller for electrically driven robot manipulators is developed using a robust control algorithm. The controller is designed using voltage control strategy. Based on the nominal model of the robotic arm, the desired signals for motor currents are calculated and then the voltage control law is proposed based on the current errors and motor nominal electrical model....

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...

This paper introduces a methodology for considering the uncertainties in stability analysis of gravity dams. For this purpose, a conceptual model based on the fuzzy set theory and Genetic Algorithm (GA) optimization is developed to be coupled to a gravity dam analysis model. The uncertainties are represented by the fuzzy numbers and the GA is used to estimate in what...

to enhance the certainty of the grade block model, it is necessary to increase the number of exploratory drillholes and collect more data from the deposit. the inputs of the process of locating these additional drillholes include the variogram model parameters, locations of the samples taken from the initial drillholes, and the geological block model. the uncertainties of these inputs will lead...

In these days, increasing consumer demand uncertainties, e.g. due to war in Europe, severe drought west Europe or Covid pandemic, increase challenge supply chain operation. Uncertainty and unreliable events interfere chain’s operations strategies. As a result, risks becomes vulnerable leads undesired circumstance. A systematic approach is therefeore required manage the risks. Of many methods, r...

Ecological risks are characterized by a high degree of uncertainty about the chances unfavorable event outcomes and losses associated with those outcomes. Subjective expert judgment is widely used when baseline data insufficient. This introduces additional uncertainties in results risk analyses. In order to successfully model existing uncertainties, this paper presents methodology for ecologica...