Study on Tenders Division Optimization of Geological Disaster Prevention Project

2014 ◽  
Vol 912-914 ◽  
pp. 1766-1770
Author(s):  
Xin Zhe Li ◽  
Zheng Song Wu ◽  
Zhong Rong Zhu

The geological disaster prevention projects generally have characteristics of dispersed distribution and low investment. If the tenders division can not be done properly, some problems such as project management difficulty, project quality risk, high security risk could easily be caused, the cost and duration target of the project is also difficult to achieve. According to the characteristics of geological disaster prevention projects, analytic hierarchy process is used to study the tenders division of the geological disaster prevention projects. Tenders division optimization will be conducive to achieve the project goals of quality, safety, cost and duration.

Author(s):  
Yu-Cheng Lin ◽  
Toly Chen

Owing to the cost constraint, it is difficult to incorporate all critical features into a single product design. To deal with this issue, analytic hierarchy process is a well-known method that compares the relative priorities of critical features. This study aims to illustrate that the judgment of a designer can be used to generate multiple diversified product designs. To this end, this study proposed a multibelief analytic hierarchy process and nonlinear programming approach. In the proposed methodology, a decision maker’s judgment matrix is decomposed into several single-belief judgment matrices that are more consistent than the original judgment matrix and represent diversified points of view regarding the relative priorities of factors. To this end, a nonlinear programming model is established and optimized. The proposed methodology was applied to a smart backpack design problem. It was concluded that a designer’s judgment was often inconsistent, which was ignored in the conventional analytic hierarchy process method but could be employed to diversify product designs.


2021 ◽  
Vol 3 (4) ◽  
pp. 2983-2995
Author(s):  
Ricardo Luiz Fernandes Bella ◽  
Helder Gomes Costa

Este artigo é uma versão de um trabalho publicado originalmente no simpósio brasileiro de pesquisa operacional (SBPO). O objetivo deste artigo é apresentar uma aplicação multicritério em uma questão central na análise de riscos: a priorização. Para isso, utilizou-se como metodologia a modelagem e simulação da aplicação combinada de 2 ferramentas multicritério nos dados de um projeto real. As ferramentas multicritério utilizadas foram: Elimination Et Choix Traduisant la Réalité (ELECTRE-Tri) para a classificação; e, Analytic Hierarchy Process (AHP) para a priorização. Nesse estudo, o resultado da aplicação das ferramentas multicritério foi comparado com o resultado real do projeto obtido pela aplicação da metodologia Project Management Institute (PMI). Como conclusão, observa-se que a abordagem multicritério teve um resultado similar ao PMI. Assim, sugere-se que a priorização de riscos do projeto, que é concebida sob uma lógica qualitativa pelo PMI, possa ser aparamentada de métodos multicritérios que apóiem a tomada de decisão. Nesse sentido, o artigo traz, como principal contribuição, uma proposta de modelo para a priorização de riscos de projetos.


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