Hazardous Chemicals Transportation Risk Control Based on Goal Programming

2011 ◽  
Vol 328-330 ◽  
pp. 751-754
Author(s):  
Li Ping Liu ◽  
Ti Jun Fan ◽  
Hai Yang Xia

This paper research on how hazardous chemicals transportation provider optimal transportation solution supposed transportation risk (i.e. releasing of chlorine) may happen in the process of transportation. If the government attaches much importance to environment protection and pushes severe punishment on environment pollution, the hazardous chemicals transportation provider should consider two goals together: minimizing the individual transportation cost and minimizing the social transportation cost. Then this paper develops a goal programming model which contains two goals for the problem. Which goal is important will affect the objective function of this model. Through discussion on importance compare of two goals, this paper believes that government policy is very important to inspirit hazardous chemicals transportation providers complying with laws and protecting environment.

Mathematics ◽  
2021 ◽  
Vol 9 (5) ◽  
pp. 459
Author(s):  
Fernando García ◽  
Francisco Guijarro ◽  
Javier Oliver

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.


1983 ◽  
Vol 17 (4) ◽  
pp. 211-216 ◽  
Author(s):  
Sheila M. Lawrence ◽  
Kenneth D. Lawrence ◽  
Gary R. Reeves

2015 ◽  
Vol 39 (18) ◽  
pp. 5540-5558 ◽  
Author(s):  
Aneirson Francisco da Silva ◽  
Fernando Augusto Silva Marins ◽  
Erica Ximenes Dias

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