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The problems related to the configuration of supply chains include quantitative and qualitative variables. Among the quantitative attributes, the most common is the money, and many attributes such as machine utilization, labor power and quality can be translated into monetary terms. Some examples of qualitative variables are people's mood, customer satisfaction, reputation in the community, appearance, aesthetics, etc. Multiple-attribute decision models integrate quantitative and qualitative attributes to produce an aggregate performance measure. This paper proposes a multi-criteria decision model using the Analytical Hierarchy Process (AHP) for the configuration of supply chains by integrating elements of financial flexibility through the analysis of real options. The model developed considers elements of financial risk based on the consideration of variables such as demand, exchange rates and interest rates, and allows assessing the operational flexibility of the project in the face of changes in said risk elements. [ABSTRACT FROM AUTHOR]

This paper presents a comparative study of different techniques of multicriteria decision making for ranking renewable energy technologies to be used in the production of electricity. Three different methods, AHP American School, PROMETHEE European School, and TOPSIS are analyzed. The technologies considered were: Solar Thermal, Solar Photovoltaic, Geothermal, Biomass, Wind, and Hydraulics; while the decision criteria used were: efficiency in percentage, installation cost in dollars per kilowatt, electricity cost in cents per kilowatt hour, CO2 emissions in kilograms per kilowatt-hour, life in years, and used area in square kilometers per kilowatt. The proposed methodology is applied to a case study already discussed in previous research by various authors. [ABSTRACT FROM AUTHOR]