optimum decision
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2021 ◽  
Vol 9 ◽  
Author(s):  
Latifa Mohammad Baynouna Al Ketbi

Meta-decision as a junction between evidence and its rightful implementation is suggested in this review as a structured framework applied in healthcare, valuable to clinicians and healthcare decision-makers. The process of meta-decision requires optimum measurements to provide data necessary for identifying and developing decision alternatives and explicitly reflect on its value and choose the optimum decision. The location of value in the meta-decision framework is core component. Of equal importance are prerequisites for decision-makers' abilities to make meta-decisions and focus on optimum team environments. As well as improving their decision-making process through reflection and learning.


Author(s):  
Nina Ershova ◽  
Natalia Velmagina

The article presents a method of designing the process of interaction of three enterprises in a single production system. The matrix method of dynamic programming establishes calculation formulas for design parameters: the share of the flow of gross output, which is sent by enterprises for the development of their own production. The quadratic functional is accepted as a criterion of optimality, the physical meaning of which is the expenditure of funds to support the stable functioning of the process. In this case, the final product of the production system, sent to external consumption should be maximum. The software product is created and the optimum decision is received. Modeling in the modeling system of MVTP 3.7 of the process of interaction of three enterprises for three variants is performed. The option with optimal design parameters provides an increase in the production capacity of enterprises and corresponds to the area of rational values of the shares of intermediate products of enterprises, which is established by modeling.


2021 ◽  
Vol 3 (134) ◽  
pp. 23-30
Author(s):  
Nina Ershova ◽  
Natalia Velmagina

The article presents a method of designing the process of interaction of three enterprises in a single production system. The matrix method of dynamic programming establishes calculation formulas for design parameters: the share of the flow of gross output, which is sent by enterprises for the development of their own production. The quadratic functional is accepted as a criterion of optimality, the physical meaning of which is the expenditure of funds to support the stable functioning of the process. In this case, the final product of the production system, sent to external consumption should be maximum. The software product is created and the optimum decision is received. Modeling in the modeling system of MVTP 3.7 of the process of interaction of three enterprises for three variants is performed. The option with optimal design parameters provides an increase in the production capacity of enterprises and corresponds to the area of rational values of the shares of intermediate products of enterprises, which is established by modeling.


Author(s):  
Latifa Baynouna AlKetbi

Meta-decision as a junction between evidence and its rightful implementation is suggested in this review as a structured framework applied in healthcare, valuable to clinicians and healthcare decision-makers. The process of meta-decision requires optimum measurements to provide data necessary for identifying and developing decision alternatives and explicitly reflect on its value and choose the optimum decision. The location of value in the meta-decision framework is core component. Of equal importance are prerequisites for decision-makers’ abilities to make meta-decisions and focus on optimum team environments. As well as improving their decision-making process through reflection and learning.


Author(s):  
Mona Abdolrazaghi ◽  
Sherif Hassanien

Abstract Pipeline operators sometimes face challenges in finding an optimum decision while executing both capital and operational projects. Utility- and risk-based decision-making approaches could create a framework for devising an optimum solution, especially in cases involving multi-parameter decision making. From a utility function perspective, an optimum solution would be the one with the least amount of cost and the highest benefit. In other words, an optimum solution could be achieved by maximizing a utility function. Accordingly, as an optimization problem, constraints related to safety, risk, and reliability for a given scenario could limit or dictate the space of feasible solutions. Addressing the problem of arriving at an optimum solution for a multi-parameter decision is the core topic of this paper. Moreover, optimized utility functions — decision making analyses based on probabilistic risk assessment — are discussed. In addition, the paper introduces a conceptual approach that has been utilized for infrastructure decision making: the life quality index (LQI) approach.


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