Hierarchical decision making with supply chain applications

2021 ◽  
Author(s):  
Xiangrong Liu
2014 ◽  
Vol 120 ◽  
pp. 47-64 ◽  
Author(s):  
Naoum K. Tsolakis ◽  
Christos A. Keramydas ◽  
Agorasti K. Toka ◽  
Dimitrios A. Aidonis ◽  
Eleftherios T. Iakovou

2016 ◽  
Vol 8 (1) ◽  
pp. 311-324
Author(s):  
Tadeusz Krupa ◽  
Teresa Ostrowska

Abstract Article illustrates the state of the work conducted at the Faculty of Management Warsaw University of Technology on the issue of modeling hierarchical decision-making problems in the context of administrative and infrastructural conditions of the various forms of public safety. The aim is to develop a universal methodology of conduct for the management needs of the public administration, whose powers are focused on maintaining the continuity of the critical infrastructure of the State. The key issues covered by the article are: modeling of hierarchical issues and decision-making processes in the multi-layered organizational structures; harmonization of scales significance of decisionmaking areas with significance weights of elementary decisions in these decision areas; and a priori contradictions of elementary decisions from different decision areas and value assessments of taken problem decisions.


2013 ◽  
Vol 16 (06) ◽  
pp. 1350020 ◽  
Author(s):  
NICOLAS PERONY ◽  
RENÉ PFITZNER ◽  
INGO SCHOLTES ◽  
CLAUDIO J. TESSONE ◽  
FRANK SCHWEITZER

We study the role of hierarchical structures in a simple model of collective consensus formation based on the bounded confidence model with continuous individual opinions. For the particular variation of this model considered in this paper, we assume that a bias toward an extreme opinion is introduced whenever two individuals interact and form a common decision. As a simple proxy for hierarchical social structures, we introduce a two-step decision making process in which in the second step groups of like-minded individuals are replaced by representatives once they have reached local consensus, and the representatives in turn form a collective decision in a downstream process. We find that the introduction of such a hierarchical decision making structure can improve consensus formation, in the sense that the eventual collective opinion is closer to the true average of individual opinions than without it. In particular, we numerically study how the size of groups of like-minded individuals being represented by delegate individuals affects the impact of the bias on the final population-wide consensus. These results are of interest for the design of organizational policies and the optimization of hierarchical structures in the context of group decision making.


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