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International Journal of Mathematical, Engineering and Management Sciences

ISSN: 2455-7749


Reliability and Cost-Benefit Analysis for Two-Stage Intervened Decision-Making Systems with Interdependent Decision Units

Reliability and Cost-Benefit Analysis for Two-Stage Intervened Decision-Making Systems with Interdependent Decision Units

Tingnan Lin
Department of Industrial and Systems Engineering, The State University of New Jersey, Piscataway, New Jersey, 08854, USA.

Hoang Pham
Department of Industrial and Systems Engineering, The State University of New Jersey, Piscataway, New Jersey, 08854, USA.

DOI https://dx.doi.org/10.33889/IJMEMS.2019.4.3-043

Received on March 15, 2019
  ;
Accepted on March 29, 2019

Abstract

This paper deals with a special type of voting systems, called two-stage intervened decision-making systems, in which the decision time of each decision unit will be a random variable and some supervising mechanism is included. A new decision rule is applied to such kind of systems, which makes the decision units become interdependent from each other. The reliability and cost-benefit models are developed. The optimization for the models is discussed and the optimal solution for a special case is also derived. A numerical example for model optimization is presented as well as some model comparison. Even though a specific application is used for model formulation and derivation throughout this paper, the modeling results can be easily modified and applied to many other systems.

Keywords- Intervened decision systems, Interdependent systems, Voting systems, System reliability, System cost- benefit model.

Citation

Lin, T., & Pham, H. (2019). Reliability and Cost-Benefit Analysis for Two-Stage Intervened Decision-Making Systems with Interdependent Decision Units. International Journal of Mathematical, Engineering and Management Sciences, 4(3), 531-541. https://dx.doi.org/10.33889/IJMEMS.2019.4.3-043.

Conflict of Interest

The authors confirm that there is no conflict of interest to declare for this publication.

Acknowledgements

The authors would like to appreciate the effort from editors and reviewers. This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors.

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