Data envelopment analysis (DEA) is used as a tool for technical efficiency evaluation of decision- making units. The units are compared with each other, which means to compare inputs, outputs and evaluate their efficiency. In case of non-efficiency unit, we can ordain necessary changes for...

This is a course material (slides in pdf format) from the book 'Investment Decision Making For Firm and Project Valuation.' The book is originally in Spanish and is untitled as 'Decisiones de inversion. Para la valoracion financiera de proyectos y empresas.' Chapter 5 deals with how to prepare...

Data envelopment analysis (DEA) is used as a tool for technical efficiency evaluation of decision- making units. The units are compared with each other, which means to compare inputs, outputs and evaluate their efficiency. In case of non-efficiency unit, we can ordain necessary changes for...

This work is an up-to-date-extension of a previous annotated bibliography (2004) which covered 40 references only. It focuses on what has been published during the last ten years in the area of combinatorial optimization and scheduling theory concerning robustness and other similar techniques...

This work is an up-to-date-extension of a previous annotated bibliography (2004) which covered 40 references only. It focuses on what has been published during the last ten years in the area of combinatorial optimization and scheduling theory concerning robustness and other similar techniques...

This short annotated bibliography focuses on what has been published during the last ten years in the area of combinatorial optimization and scheduling theory concerning robustness and other similar techniques that deal with worst case optimization under uncertainty and non-accuracy of problem data.

This short annotated bibliography focuses on what has been published during the last ten years in the area of combinatorial optimization and scheduling theory concerning robustness and other similar techniques that deal with worst case optimization under uncertainty and non-accuracy of problem data.