Risk Averse Decision Models for Resilient Supplier Selection

A hybrid decision making system using DEA and fuzzy models for supplier selection in the presence of multiple decision makers

a hybrid decision making system using dea and fuzzy models for supplier selection in the presence of multiple decision makers

Risk averse decision making under catastrophic risk

A nonstandard probabilistic setting for modeling of the risk of catastrophic events is presented. It allows random variables to take on infinitely large negative values with non-zero probability, which corresponds to catastrophic consequences unmeasurable in monetary terms, e.g. loss of human lives. Thanks to this extension, the safety-first principle is proved to be consistent with traditional...

Risk-averse decision making in overbooking problem

Huachun Xiong, Jinxing Xie, Xiaoxue Deng Department of Mathematical Sciences, Tsinghua University, Beijing 100084, China Abstract Traditional literature studying overbooking problems focuses on risk-neutral decision makers. In this paper, we propose a multi-period overbooking model incorporating risk-aversion and extend well-known structural results (the 3-region policy) under the risk-neutral ...

Modeling and development of a decision support system for supplier selection in the process industry

This paper presents the development of a model based decision support system with a case study on solving the supplier selection problem in a chemical processing industry. For the evaluation and selection of supplier, the analytical hierarchy process (AHP) and grey relational analysis (GRA) were used. The intention of the study is to propose an appropriate platform for process industries in ...