the efficiency and robustness of reliability methods are two important factors in first order reliability method (form). the conjugate choice control (ccc) and directional chaos control method (dcc) were developed to improve the robustness and efficiency of form formula using the stability transformation method. in this paper, the ccc and dcc methods are applied for reliability analysis of a co...

the strategic pricing decisions of assembly products in assembly products supply chain are studied in this paper. firstly, a two-stage assembly products supply chain model is developed. by building nash game model, the nash equilibrium solution of pricing strategy of supplier and assemblers is obtained. next, a union decision model is built to analyze the optimal combination pricing strategy of...

In this study, the selective photoexication of isotopic mixtures by laser light is investigated. Atomic and molecular methods are examined and rate equations are derived for both cases. Two and three step photoionization techniques are considered and rate equations are solved for ion yields. The molecular photodissociation process is also studied and the dependence of the dissociation produ...

todays, improving the competitiveness of companies and rapidly responding to diverse customers’ demands requires efficient management of the supply chain. integration is one of the effective indices in a supply chain, and vendor managed inventory (vmi) is one of the innovative approaches in this field. in this paper, an integrated model based on a vmi system for deteriorating and ameliorating i...

In the present study, the multivariate adaptive regression splines (MARS) technique is employed to estimate the drying shrinkage of concrete. To this purpose, a very big database (RILEM Data Bank) from different experimental studies is used. Several effective parameters such as the age of onset of shrinkage measurement, age at start of drying, the ratio of the volume of the sample on its drying...

an adaptive input-output linearization method for general nonlinear systems is developed without using states of the system. another key feature of this structure is the fact that, it does not need model of the system. in this scheme, neurolinearizer has few weights, so it is practical in adaptive situations.  online training of neurolinearizer is compared to model predictive recurrent training...

an artificial neural network (ann) model is developed for the analysis, simulation, and prediction of the austenite reversion in the thermo-mechanical treatment of 304l austenitic stainless steel. the results of the ann model are in good agreement with the experimental data. the model is used to predict an appropriate annealing condition for austenite reversion through the martensite to austeni...

according to recent achievements in nano technology we can see its effects in different engineering fields. in nano manufacture process the first essential step is modeling coordinately in order to make it available different software are developing for this propose.  in this paper nano modeling for two papers is developed first understanding structure in nano and micro size and second simulati...

In the current study, a dual-channel supply chain is considered containing one manufacturer and two retailers. It is assumed that the manufacturer and retailers have the same decision powers. A game-theoretic approach is developed to analyze pricing decisions under the centralized and decentralized scenarios. First, the Nash model is established to obtain the equilibrium decisions in the decent...