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Green supplier selection and order allocation problem involves multi-criteria decisions. In this paper, the available suppliers are ranked based on selected green criteria by decision makers in the purchasing department using analytic hierarchy process (AHP). Then, genetic algorithm (GA), that uses real-coded representation chromosomes, is used to find the optimal solution for the multi-objective...
In this paper, we present semi-analytical modeling and optimization approaches based on genetic algorithm computation to improve the electrical performance of amorphous SiGe thin-film solar cell including multi-trench region. The key idea behind the proposed investigation is to model the electrical efficiency using 2D numerical database and analytical fitting. Semi-analytical expression of the efficiency...
Firstly, supplier selection research is briefly described, and a supplier selection model based on gray bi-level programming is set up in the view that there are a lot of uncertainties, in which overall performance degree reflects goods and services quality of supplies, and it is helpful to reduce purchase cost and motivate supplier to improve his goods and services quality. Secondly, genetic algorithm...
An important means for companies to differentiate themselves, as well as increase profitability, in highly competitive environments is through the use of service management, i.e., those activities and interactions which follow a product??s sale. As a result, many companies design the network for after sale services, providing customer support through training; product warranties; maintenance and repair;...
The new approach for vendor selection problem was established under the stochastic environment. After establishing the traditional multi-objective programming model, through minimizing the optimistic value of the net cost of the total order quantity, rejected quantity and late delivered quantity, the multi-objective stochastic constrained integer programming model was established based on the stochastic...
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