Current trends in intermodal decision support models include the introduction of environmental concerns, the development of dynamic models and the growth in innovative applications of Operations Research techniques.
Statistical analysis approaches were used as a feature selection process in the design of decision support models, including the Chi-square test, Fisher's exact test, the Mann-Whitney U-test (p < 0.01), and Wald forward logistic regression (entry and removal criteria of 0.01 and 0.05, or 0.05 and 0.10, respectively).
In this paper, we review decision support models for the design of global supply chains, and assess the fit between the research literature in this area and the practical issues of global supply chain design.
The BETS models discussed in this paper are clinical decision support models; their output is designed to support (not replace) good clinical judgment.
In the decision support model, the current spatial pattern conditions of physiognomic types, cover types, forest structural classes, and those of late-successional and old forest patches of the two subwatersheds were compared against the two sets of reference conditions.
The contribution of this research lies in the decision support model for integrating analytic network process (ANP) and the distance-to-target (DT) method in order to calculate a single score Ecodesign concept indicator that makes the new product more eco-effective than the baseline product.
In this paper, a decision support model for service network design in intermodal barge transportation is presented.
Therefore, in this research, a decision support model is developed based on LCA and Eco Design concepts.
In this paper, a decision support model characterized by its inclusion of fuzzy logic technology to achieve rule inference is proposed.
The results of the geologic prediction model were in good agreement with the observed geology, and the results of the construction strategy decision support model were in good agreement with the construction methods used.
