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Full-Text Articles in Business
Multi-Criteria Decision Analysis With Goal Programming In Engineering, Management And Social Sciences: A State-Of-The Art Review, Cinzia Colapinto, Raja Jayaraman, Simone Marsiglio
Multi-Criteria Decision Analysis With Goal Programming In Engineering, Management And Social Sciences: A State-Of-The Art Review, Cinzia Colapinto, Raja Jayaraman, Simone Marsiglio
Faculty of Business - Papers (Archive)
Goal programming (GP) is an important class of multi-criteria decision models widely used to analyze and solve applied problems involving conflicting objectives. Originally introduced in the 1950s by Charnes et al. (Manag Sci 2:138-151, 1955) the popularity and applications of GP has increased immensely due to the mathematical simplicity and modeling elegance. Over the recent decades algorithmic developments and computational improvements have greatly contributed to the diverse applications and several variants of GP models. In this paper we present a state of the art literature review on GP applications in three selected (prominent and popular) areas, namely engineering, management and …
Unintended Effects Of Planning In Goal Striving: Substitution And Amplification, Wing Yin Leona Tam, Jelena Spanjol, José Antonio Rosa
Unintended Effects Of Planning In Goal Striving: Substitution And Amplification, Wing Yin Leona Tam, Jelena Spanjol, José Antonio Rosa
Faculty of Business - Papers (Archive)
No abstract provided.
On Dynamic Multiple Criteria Decision Making Models: A Goal Programming Approach, Belaid Aouni, Cinzia Colapinto, Davide La Torre, Danilo Liuzzi, Simone Marsiglio
On Dynamic Multiple Criteria Decision Making Models: A Goal Programming Approach, Belaid Aouni, Cinzia Colapinto, Davide La Torre, Danilo Liuzzi, Simone Marsiglio
Faculty of Business - Papers (Archive)
Dynamic multiple criteria decision making (DMCDM) represents an extension of classical multiple criteria decision making to a context in which all variables are depending on time. This complex decision making problem requires the development of methodologies able to incorporate different and conflicting goals in a satisfying design of policies. We formulate two different goal programming models, namely a weighted goal programming model and a goal programming model with satisfaction functions, for solving DMCDM models. We present an application of this methodology to analyze the trade-off between consumption and investment in a traditional Ramsey-type macroeconomic model with heterogeneous agents. For a …