Design of a logistics network in proper way provides a proper platform for efficient and effective supply chain management. This paper studies a multi-period, multi echelon and multi-product integrated forward-reverse logistics network under uncertainty. First, an efficient complex mixed-integer linear programming (MILP) model by considering some real-world assumptions is developed for the inte...

The aim of this paper is to propose a convex risk measure in the framework of fuzzy random theory and verify its advantage over the conventional variance approach. For this purpose, this paper defines the quadratic deviation (QD) of fuzzy random variable as the mathematical expectation of QDs of fuzzy variables. As a result, the new risk criterion essentially describes the variation of a fuzzy ...

Traditional stochastic programming is risk neutral in the sense that it is concerned with the optimization of an expectation criterion. A common approach to addressing risk in decision making problems is to consider a weighted mean-risk objective, where some dispersion statistic is used as a measure of risk. We investigate the computational suitability of various mean-risk objective functions i...

Traditional stochastic programming is risk neutral in the sense that it is concerned with the optimization of an expectation criterion. A common approach to addressing risk in decision making problems is to consider a weighted mean-risk objective, where some dispersion statistic is used as a measure of risk. We investigate the computational suitability of various mean-risk objective functions i...

This paper extends the comparison of information systems in contract theory to a general context with an unobservable outcome and a risk-averse principal. The model examines information systems on two dimensions: (1) incentive-providing and (2) risksharing. We first identify the most efficient information systems. Then we develop an extended informativeness criterion for comparison of inclusive...

The formation of an optimal portfolio can be done with the Safety First Criterion method which is based on down side risk, namely risk causing a loss. purpose this study to determine using method. first criteria for selection are concerned only failing achieve minimum target return or secure prespecified safety margins. There three First, Roy, Kataoka and Telser criteria. results formed differe...

BACKGROUND Late angiographic narrowing has been observed following coronary implantation of the Wallstent. To identify the angiographic variables that predict restenosis within the stented segment, a retrospective study of data from the European Wallstent core laboratory was performed. METHODS AND RESULTS Follow-up angiograms (excluding patients with in-hospital occlusions) were analyzed for ...

In this paper we analyse nonparametric methods to estimate risk measures in loss distributions. We study kernel estimation for Value-at-Risk and Tail Value-at-Risk based on transformation of the original data. The proposed method consists of a double transformation kernel estimation. We show that a suitable bandwidth selection criterion has a direct expression for the optimal smoothing paramete...