POWER PLANT PLANNING IN TURKEY: AN EVALUATION WITH INTEGER FUZZY WEIGHTED GOAL PROGRAMMING MODEL

2016 ◽  
Author(s):  
NAZLI CEREN ÇETİN ◽  
MEHMET EMİN BAYSAL
Keyword(s):  
Power Plant ◽  
Goal Programming ◽  
Programming Model ◽  
Weighted Goal Programming ◽  
Goal Programming Model

scholarly journals Combination of linear and weighted goal programming with penalty function in optimisation of a daily dairy cow ration

2009 ◽  
Vol 55 (No. 10) ◽  
pp. 492-500 ◽  
Author(s):  
J. Žgajnar ◽  
L. Juvančič ◽  
S. Kavčič
Keyword(s):  
Goal Programming ◽  
Penalty Function ◽  
Dairy Cow ◽  
Programming Model ◽  
Fine Tuning ◽  
Weighted Goal Programming ◽  
Goal Programming Model ◽  
Applied Approach ◽  
The Common ◽  
Daily Milk Yield

The aim of the paper is to present a developed spreadsheet tool for the formulation of a daily dairy cow ration. It is constructed on the basis of two linked sub-models developed on the MS Excel platform. It merges the common linear programming model and the weighted-goal programming model with a penalty function. The first sub-model is included in the tool to make an estimate of the least-cost magnitude that might be expected. The obtained result is entered into the second sub-model as the goal that should be met as closely as possible. The tool was tested at two different values of preferential weights for dairy cows with a 25 kg daily milk yield. The results obtained confirm the benefits of the applied approach. In contrast to the common linear program tools, which terminate at formulation of the least-cost ration, our tool provides more efficient rations (in both economic and nutritive terms) by fine-tuning the nutritive goals and by allowing for harmless deviations from these goals by application of penalty functions.

scholarly journals A Multicriteria Goal Programming Model for Ranking Universities

Mathematics ◽  
2021 ◽  
Vol 9 (5) ◽  
pp. 459
Author(s):  
Fernando García ◽  
Francisco Guijarro ◽  
Javier Oliver
Keyword(s):  
Goal Programming ◽  
Programming Model ◽  
Decision Makers ◽  
University Rankings ◽  
Central Tendency ◽  
Performance Variables ◽  
World University Rankings ◽  
Goal Programming Model ◽  
Objective Quantification

This paper proposes the use of a goal programming model for the objective ranking of universities. This methodology has been successfully used in other areas to analyze the performance of firms by focusing on two opposite approaches: (a) one favouring those performance variables that are aligned with the central tendency of the majority of the variables used in the measurement of the performance, and (b) an alternative one that favours those different, singular, or independent performance variables. Our results are compared with the ranking proposed by two popular World University Rankings, and some insightful differences are outlined. We show how some top-performing universities occupy the best positions regardless of the approach followed by the goal programming model, hence confirming their leadership. In addition, our proposal allows for an objective quantification of the importance of each variable in the performance of universities, which could be of great interest to decision-makers.

Allocation of teaching personnel: A goal programming model

1983 ◽  
Vol 17 (4) ◽  
pp. 211-216 ◽  
Author(s):  
Sheila M. Lawrence ◽  
Kenneth D. Lawrence ◽  
Gary R. Reeves
Keyword(s):  
Goal Programming ◽  
Programming Model ◽  
Goal Programming Model ◽  
Teaching Personnel
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