Non-discretionary and discretionary factors and scale in data envelopment analysis

Article Abstract:

Data envelopment analysis (DEA) is considered an accepted method in the analysis of technical efficiency. The factors that describe the variations in the operational environments and factors outside the control of the assessed units (DMUs) are called non-discretionary factors. The assumptions and properties of models (Banker and Morey, and Lovell and Ruggiero), which can be utilized in including non-discretionary factors in DEA, are analyzed. The analysis shows that the models that require non-discretionary factors are scale independent and other models are scale dependent. The treatment of non-discretionary factors shows differences in the returns to scale properties.

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Minimax programming under (p, r)-invexity

Article Abstract:

The significance of minimax models and methods are recognized in a great variety of optimal decision making situations. The application of (p, r)-invexity for a class of minimax programming problems in the area of the mathematical programming is discussed.

Decision-making, Decision making

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Global optimization approaches to an aircraft routing problem

Article Abstract:

A global optimization problem which arises in the calculation of flight paths is described, and a deterministic approach is compared with two other approaches which use random searching.

Measurement, Airways

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